Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

• Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
• Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
• Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
• Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
• Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

• Degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data analysis and/or low-level systems and network engineering
• Strong skills in Python and time-series analysis
• Understanding of network protocols such as TCP/IP and Ethernet
• Familiarity with market microstructure and low-latency trading is a plus
• Advanced networking and GNU/Linux knowledge is a plus

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Your future role within QRT:

We are hiring a Senior Low-Latency Software Engineer to join a newly formed team building a high-performance trading platform from scratch.

This platform sits at the heart of QRT’s execution capabilities and is designed for ultra-low-latency, high-frequency trading. You will work on systems where performance is critical, contributing directly to how strategies are executed in live markets.

You will collaborate closely with quant researchers and traders to turn models into efficient, production-grade systems, while shaping the architecture and performance of the platform using modern C++ (C++23).

Responsibilities:

• Design, build, and optimize greenfield, high-performance distributed trading systems in C++, with a strong focus on latency, scalability, and reliability
• Partner closely with quant researchers and trading teams to translate strategies into production systems and contribute to the overall architecture

Your present skillset:

• 5+ years of experience in low-latency / high-performance C++ development
• Strong expertise in modern C++ (C++17/20/23) and systems programming
• Experience with multithreading, concurrency, and real-time systems
• Solid understanding of Linux systems and low-level performance optimization

Nice to have:

• Experience in electronic trading systems (market data, execution, or connectivity)
• Understanding of market microstructure
• Knowledge of networking (TCP/UDP) and system-level performance tuning
• Exposure to hardware acceleration (e.g. FPGA)
• Experience with Python for tooling or prototyping

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

We are seeking a Staff or Principal Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems.

You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.

We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7.

This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.

What you'll work on:

• Designing agent native retrieval systems optimised for machine consumption rather than human search UX
• Building systems where LLMs iteratively plan, query, refine, and reason over results
• Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints

Your responsibilites:

• Drive applied research and technical direction across retrieval and ranking systems
• Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
• Develop methods for grounding LLMs in real time web data at scale
• Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
• Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
• Analyse trade-offs across relevance, latency, and cost at scale
• Work closely with engineering to deploy systems in high throughput, low latency environments
• Own ambiguous problems end to end and contribute to product and research direction
• Mentor engineers and help raise the technical bar of the team

Must haves:

• 8+ years of experience in applied AI, ML, or software engineering
• Proven track record of shipping ML or AI systems to production at scale
• Deep experience with search, retrieval, ranking, recommendation systems, or assistants
• Strong understanding of modern deep learning, especially transformers and embeddings
• Experience with LLM integrated or knowledge intensive systems
• Experience designing evaluation frameworks and metrics for ML systems
• Strong programming skills in Python and at least one of Go, C++, or similar
• Ability to operate in a fast moving, product driven environment with high ownership and autonomy

Nice to haves

• Experience with large scale search or recommendation systems
• Background in agentic AI systems (agents, tool use, autonomous workflows)
• Experience with RAG, multi step retrieval, or tool use
• Publications, open source, or similar signals of technical depth and impact

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

This role is part of our Experience & Engineering team based in the Netherlands. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Gant, Inter Milan, bol.com and Just Eat Takeaway.

JOB PURPOSE

Looking to kick off your creative career as a UX designer? Join our talent program designed to shape you into a next-level UX designer. We’ll give you all the support, feedback, and high fives you need to grow into a standout professional. 

During your internship as a UX Designer, you’ll wear many hats:

• Researcher: Dive into research to understand the "why" behind user behavior.
• Logic-Maker: Map out logical user flows, user journeys and information architectures.
• Designer: Design UX wireframes to define the right user interaction.
• Tester: After your black-and-white wireframes are turned into a visual appealing prototype by the UI designer, you validate them through usability testing and iterate together until the experience feels seamless.
• Storyteller: Present your designs and logic to the team and stakeholders.

You bring the drive and ambition, and we provide you with everything you need. From day one, you’ll be paired with a dedicated mentor for 1-on-1 coaching and join a powerhouse team of 40+ passionate designers who always have your back.

By the end of your UX design internship, you’ll have gained valuable experience in the field, worked on projects for A-list clients, and built a portfolio that truly turns heads.

The closing date for this position is June 1st.

Note: to be eligible for this internship, you are required to be living and studying in the Netherlands and be fluent in Dutch

WHAT YOU WILL DO

• Dive into exciting projects for clients like BUUT, Inter Milan, Artis, UNICEF, and Lufthansa.
• Work on the full spectrum of UX related tasks: researching, mapping, wireframing, prototyping, testing, and presenting. 
• Collaborate closely with Visual designers, developers, and strategists to create the best possible solution.
• Graduating? If you’re looking to write your thesis with us, we’ve got you. We’ll define a graduation project together in close consultation, ensuring it’s a perfect match for both your academic goals and our creative challenges.

WHAT WE ARE LOOKING FOR
Even if you don’t tick every box, that doesn’t mean we’re not a match. If you feel like this role could be right for you - just go for it and apply!

• UX obsessed: you’re passionate about UX design, understanding users, and creating digital experiences.
• A proactive attitude, curiosity, and drive: we expect you to make the most of the opportunities you'll get!
• You have experience with leading design tools such as Figma.
• Have a convincing portfolio with UX related projects (think research, wireframing, testing, prototyping)
• Experience with AI tools and integrating them into your design process is a big plus. We love a future-proof mindset!
  
  

Hard Requirements

• You are enrolled in a Dutch university for the entire duration of the internship
• Availability of 5 days per week (40h), from September 2026 for a duration of 5 months.
• You speak Dutch fluently, and you’re also confident in English - whether you’re writing, presenting, or just chatting with the team.

WE OFFER

• DEPT® has been named a Great Place To Work in 2023 - in the Netherlands and has been a Certified B Corp® since 2021 -award winning in the best way possible.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• A monthly allowance of 450 euros + 50 euro internet allowance.
• Opportunities to develop your skills even further through training and certifications.
• Everything to focus on your health: mindfulness sessions, mental health services, healthy lunches available at the office, and above all: a safe work environment.
• Great fringe benefits; use of OV-bikes, an NS Business Card and many other goodies.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Join our Trading Technology team in Amsterdam, where you’ll build real-time data systems that directly support Optiver’s trading strategies and market insights. As a\ Quant Developer, you’ll focus on creating scalable, high-performance platforms for real-time analytics, enabling traders to make precise, data-driven decisions across various products. At Optiver, technology drives our approach to market-making—whether optimizing for low latency response times or processing massive data volumes with efficiency, even in extreme market conditions. This role offers the chance to tackle complex technical challenges in a dynamic environment, collaborating closely with traders and researchers to advance smarter, more effective trading practices that keep Optiver at the forefront of the industry.

Who we are

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What You’ll Do:

You’ll be focused on addressing complex challenges in real-time data analytics in high throughput data environments for trading. As a Senior Software Engineer in the Trading Technology team, you’ll develop and optimize scalable systems for data processing and analytics that handle vast volumes of market data. Your work will ensure low-latency data pipelines, high-throughput compute, and robust algorithms—essential for reliability and speed in our trading decision making

Key Responsibilities:

• Develop scalable, reliable data systems that support real-time analytics for trading and large-scale historical analysis

• Partner closely with traders and researchers to deliver actionable insights and meet dynamic data needs across ingestion, storage, and real-time processing

• Drive the development of our data lake and analytics frameworks, enabling immediate access to live and historical data

• Build real-time analytics capabilities to support rapid decision-making in trading operations

• Engineer for resilience and reliability, implementing automated recovery processes and safeguards for high-demand periods

Projects You Might Work On:

• Enhancing research frameworks to enable quick deployment of trading applications and strategy optimizations

• Expanding real-time analytics for high-frequency trading and predictive market insights

• Integrating machine learning models within data pipelines to improve predictive accuracy

Who You Are:

You’re a highly skilled engineer passionate about building sophisticated systems that drive data-driven trading decisions:

• 5+ years of experience in high-performance data systems and infrastructure

• Proficiency in C++ or Python, with a commitment to clean, maintainable code

• Strong understanding of operational excellence in areas like networking, database performance, and system resilience

• Experience with real-time analytics platforms

• Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable

• Background in trading or financial markets is a plus, but not required

WHAT YOU'LL GET:

• The chance to work alongside best-in-class professionals from over 40 different countries.
• Our performance based bonus structure is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.

Alongside this you will get great secondary benefits such as 25 paid vacation days, fully paid first-class commuting expenses, training opportunities, discounts on health insurance, breakfast and lunch facilities, sports and leisure activities, Friday afternoon drinks and even weekly in-house chair massages.

Being highly international, we are accustomed to guiding expats through their relocation, offering competitive relocation packages and providing visa sponsorship where necessary.

HOW TO APPLY:

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT:

Optiver is committed to diversity and inclusion.

We are always looking to connect with exceptional talent. Please send us your information and we will respond with any opportunities. 

3Red Partners does not accept unsolicited resumes from 3rd party vendors. Any unsolicited resumes will become property of our team. 

As a Graduate Trader at Da Vinci, you’ll work with a fun team of highly skilled researchers and engineers. Our Traders are key to developing and utilising algorithmic trading strategies that help us reach our goal of building one of the best proprietary trading firms in the world.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a once-in-a-lifetime opportunity to be part of a successful and fast-growing company.

Responsibilities:

• Generate profits through volatility trading by position-taking and market making
• Risk management of your portfolio
• Improve and refine our trading infrastructure and setup
• Devise new trading strategies for current and prospective markets
• Evaluate prospective markets for opportunities

Requirements:

• Technical background (Maths, Physics, Engineering, Econometrics, Quant Finance or similar quantitative studies)
• Strong interest in trading (Experience in real or simulated trading is a plus)
• Ability to make decisions under pressure
• Understanding of risk and reward patterns
• Strong affinity with numbers
• Good communication skills
• Attention to detail
• Analytical approach to solving complex problems
• Competitive but cooperative attitude
• Proactive and an entrepreneurial mindset

Benefits:

• A comprehensive theoretical and practical training program provided by our dedicated in-house trainer
• Sign-on bonus of EUR 20k, base salary of EUR 100k
• Excellent variable pay and growth opportunities
• Outstanding performance is also rewarded with shareholding in the company
• A relocation package when moving from abroad, including a relocation budget, flight coverage, house-finding service and expat support
• Meals during work hours
• Social events and after-work drinks
• Reimbursement of travel costs
• Sponsored gym membership
• In-house game room (pool table, board games and console games)

Currently we are not offering opportunities to write a thesis. This may change in the future. Please visit our website periodically and follow us on social media to stay up to date.

We are seeking a Trading Recruiter to join our team and help scale IMC’s talent acquisition efforts across Europe. In this role, you will be instrumental in attracting and securing exceptional talent in trading and quantitative research—disciplines that are critical to our continued success. As a strategic partner to the business, you will collaborate closely with leadership and global recruitment teams to craft and execute scalable, forward-thinking hiring strategies that align with our long-term vision—ensuring we consistently attract and secure top talent in the industry.

Your Core Responsibilities:

• Own end-to-end recruitment for trading and quantitative research openings in Europe
• Act as a trusted advisor to hiring managers, offering insights on market trends, talent availability, and best practices to inform hiring decisions
• Leverage a deep understanding of IMC’s culture, goals, and industry to develop creative and effective sourcing strategies that reach passive and active candidates in competitive markets
• Maintain and grow a strong industry network to proactively identify and attract top-tier candidates from niche fields
• Evaluate candidates for both technical expertise and cultural alignment to ensure their skills, experience, and values meet the needs of the hiring team
• Create a personalized and engaging experience that highlights IMC’s unique strengths
• Continuously assess and refine recruitment processes to maximize efficiency, effectiveness, and the quality of hire
• Provide regular updates to stakeholders, celebrating successes, addressing challenges, and offering data-driven insights to inform recruitment strategies

Your Skills and Experience:

• 3+ years recruitment experience with a proven track record of securing top-tier trading and quantitative research talent across Europe
• A track record of success in securing top talent, including candidates with multiple offers
• Ability to engage candidates, collaborate effectively with hiring managers, and influence decisions
• Skilled at using metrics to evaluate performance and guide recruitment strategies
• Flexible and able to pivot priorities as needs evolve
• Comfortable using applicant tracking systems (ATS) and recruitment tools
• Highly motivated self-starter with the ability to manage multiple priorities in a fast-paced environment

About the Role:  

We are seeking a Campus Recruiter to join our established Campus Recruitment team of 9 people consisting of a Team Lead, four Campus Recruiters, a Campus Program Specialist, an Event Coordinator and two Recruitment Coordinators. As our newest member, you will take ownership of hiring top-tier intern and graduate talent from Europe’s leading universities.

Your Core Responsibilities: 

• Own and manage end-to-end campus recruitment pipelines across Trading and Technology roles, from early identification through to the final selection and close
• Conduct structured interviews to assess candidate skills, motivation and cultural fit
• Represent IMC on campus at career events, workshops and strategic university partnerships across Europe
• Collaborate closely with Trading and Technology stakeholders, and the broader People Team to continuously improve recruitment processes and candidate experience
• Drive forward recruitment initiatives and strategic projects with a proactive mindset and a bias for efficiency
• Operate effectively in a data-driven environment by leveraging data, analytics and research to track performance and improve conversion rates

Your Skills and Experience: 

• 3+ years of experience in campus or early careers recruitment within trading, finance, tech or a similarly fast-paced, high-performance environment
• Deliver against hiring targets by effectively managing a high volume of applications, maintaining focus and efficiency while navigating competing demands
• A well-organized and detail-oriented approach with the ability to balance operational and strategic priorities
• A strong commitment to delivering an excellent candidate experience through clear, timely communication and feedback
• Proven relationship-building skills with both internal stakeholders and external partners (i.e. universities, student associations, etc.)
• Willingness to travel across Europe on a regular basis

C++ Software Engineer 

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC’s Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Hardware Development and Execution Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• Minimum 5+ years professional working experience as a software engineer post graduation
• Strong programming skills in C++. Experience in the latest versions of C++ is highly desirable
• Familiarity with Python scripting
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively
• Prior knowledge of trading / capital markets is not required. Curiosity and a willingness to learn is.

About the role

IMC’s Macro Analyst team provides traders with market-moving insights and trading ideas across global macro and volatility markets. As the Lead Macro Analyst, you will be based in Amsterdam and oversee a team focused on generating actionable analysis and trading strategies across European equity index volatility and related markets. You will collaborate closely with IMC traders to identify opportunities, manage a portfolio of macro-driven positions, and ensure IMC remains at the forefront of interpreting key economic, political, and market events.

Your Core Responsibilities: 

• Lead the European Macro Analyst team in developing trading ideas and options strategies on equity index volatilities, spreads, and related financial instruments.
• Manage the team’s PnL portfolio, focused on global events, European market themes, and major macro headlines.
• Develop and maintain scenario analyses around key market-moving events such as economic data releases, central bank meetings, national budgets, elections, and geopolitical developments.
• Provide traders with timely insights and actionable updates on what’s driving markets during trading hours and in out-of-hours futures sessions.
• React quickly to unexpected market events, generating scenarios and strategies to capture emerging opportunities.
• Ensure strong operational coverage and responsiveness to trader needs.
• Foster collaboration with other IMC analyst teams in Amsterdam, Chicago, Sydney, and Mumbai, sharing insights and best practices.
• Mentor and develop team members, creating an environment that encourages ownership, innovation, and high-quality output.

Your Skills and Experience: 

• 5–6+ years of experience at a high-frequency trading firm or leading investment bank, with strong exposure to equities, volatility, and options markets.
• Deep understanding of European financial markets and the macroeconomic and geopolitical factors driving them.
• Proven ability to generate actionable trading ideas and manage a portfolio around global and regional market themes.
• Strong leadership and mentoring skills, with a collaborative, goal-oriented approach to managing a team.
• Excellent communication skills, able to engage traders and convey insights clearly and succinctly under time pressure.
• Calm and analytical under fast-moving market conditions.
• Entrepreneurial mindset with a drive for innovation and continuous improvement.

Our Europe & Brazil Equity Options market has traditionally focused on highly liquid stocks but has expanded in scope to many more symbols. As a result, we have a wide range of new and exciting problems to solve. We are looking for experienced Equity Options Trader to strengthen the group, help us tackle these new challenges and expand our fast-growing team to cover more symbols and regions, with a particular focus on positional trading strategies.

Your core responsibilities: 

• You will maximize revenue by creating competitive edge trading strategies, using our existing signals suite and contributing to its improvement
• You will have lots of responsibility and ownership early on to drive strategies forward and be successful
• IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of operational trading and data-driven analysis
• We’ve already created partnerships and business models to facilitate our expansion and we’re currently working to improve our options pricing; investigating new models and improving our existing framework

Your skills and experience:

• You are an experienced equity option trader with at least 2 years’ experience
• You have relevant tertiary qualifications (graduate or post graduate), with strong academic results, preference in mathematics, science, financial engineering or computer science
• You have proven ability to act and perform successfully in a fast moving and high pressured environment
• You have a passion for learning; you are driven to succeed, you work well individually and in a team to get results
• Experience in computer programming is a plus (Python, C/C++, Java, Matlab, SQL)
• You will be highly analytical, constantly enhancing your strategies to improve the quality of trades, pinpoint missed opportunities, and identify new trading ideas and products

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

Graviton Research Capital (GRC) is a Singaporean trading firm, specialising in quantitative algorithmic strategies which are deployed on markets across the globe.

In 2026, GRC established a Research and Development arm within the Netherlands, which is seeking 2x Quantitative Research Interns to work closely with a Senior Quantitative Researcher in Amsterdam. 

Successful candidates will work on projects that directly impact the team’s research on financial markets. Candidates will gain exposure to a range of concepts and techniques, including time series analysis, filtering, stochastic models, pattern recognition and statistical inference, gained through the analysis of terabytes of data. This is a unique opportunity to gain exposure to a small team within a growing Quantitative Research function!

About the role: 

• 10 week summer internship (June - August 2026) 
• Based in Amsterdam 

Requirements: 

• A quantitative focused degree, such as Mathematics, Statistics, Data Science, Econometrics, Machine Learning (or related fields) 
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or Python
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets
• Have a strong work ethic
• Entrepreneurial spirit

Successful candidates will be considered for future graduate and postgraduate positions.

Apply Now! 

If you’re up for the challenge, submit your CV! 

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. Our various Python Development teams create scalable business-critical applications, tools and automated tasks to equip IMC’s Amsterdam, London, Zug and Mumbai trading and business support teams.

Your Core Responsibilities

IMC uses a wide variety of technologies. Python is widely used across our tech stack, notably to make it more accessible to our traders, researchers and analysts. As a Python Software Engineer at IMC Amsterdam, you will take part in the development of high-performance trading systems, analytical tools, signals generation, backtesting frameworks, trade management UIs or regulatory surveillance & risk monitoring. Therefore your role will involve collaborating directly and closely with the business and other tech teams, from initially gathering requirements to short iteration cycles to refine the implementation, to integrate user feedback, to voice and implement your improvements and ideas.

All the software you’ll be building is for internal use only, there are no external clients/users and therefore no non-sense requests: the users of your work sit a few meters from you and you have control over the whole development cycle. Curiosity and interest into the trading and financial markets is a key success factor in this role, as you will be working directly on the business logic, in an environment where understanding the business context is primordial.

At IMC we believe in giving a lot of responsibilities quickly, you’ll be working on your goals with a high degree of independence, yet supported by a solid network of mentors, teammates and trading team highly motivated to make sure you are successful and share their passion for trading and technology. In this role, you might end up working on are a wide range of tasks - for example:

• Adding a new signal a trader came up with to our framework.
• Supporting a trading desk in building the data analytics and visualisation tools they need.
• Troubleshooting, debugging or deep diving into performance analysis.
• Teaching others how to use our tech in their own scripts.
• Building and distributing internal python libraries.
• Starting whole new full-stack projects from scratch.

Your Skills and Experience

• We care about 4+ years of working experience as a Software Engineer.
• Deep technical knowledge of Python, you understand its internal workings and know its strength and limitation. We use a range of Python libraries and frameworks (such as FastAPI (AsyncIO), APScheduler, Pandas, Polars, RQ, Pytest, Tensorflow, scipy, xgboost, scikit-learn, numpy, numba, celery).
• Experience with DevOps, databases, big data or frontend frameworks is a plus. (Some examples of tools we frequently work with: Kubernetes, Helm, Docker, Gitlab CI, TypeScript, React, Redis, PostgreSQL, Mongo, Dremio, Apache Iceberg, HDFS, Kafka, Apache Arrow/Parquet).
• A critical mindset and the ability to challenge ideas and solutions, to not take things for granted, validate assumptions and dig into the details to find and cover all corner cases. You’re not afraid to ask questions and to speak up.
• Experience working with financial data is a must, ideally in the financial services industry. The nature of this role requires both affinity and experience to this type of data.

Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it. 

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
 
By working on a variety of projects with different collaborators over the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
 
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following qualities:

• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

• Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
• Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
• Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
  • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
• Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
• Experience in setup of research framework and execution of projects
• Understanding of financial products, market dynamics, and microstructure
• Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language 

Thank you for your interest in IMC Trading! We’re excited to stay connected with you. Please take a moment to fill out a short form by clicking Apply Now. This step is not a formal application but allows us to review your profile after the conference and reach out if there’s a match between your skills and our opportunities.

We’re excited about the potential to connect further and explore how you could become part of the IMC team!

#LI-DNI

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC’s Amsterdam-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders researchers and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. Your core tasks will include:

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Risk Management, Mid-Office and Strategy Development Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• At least 5+ years of experience as a Software Engineer 
• Strong programming skills in Java 17+. Experience in the latest versions of Java is highly desirable
• Ideally worked in a trading environment, but we will consider experience from industries such as capital markets, exchanges, banking etc 
• Familiarity with Python – preferred
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability able to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively

Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it. 

At IMC, technology is at the core of everything we do. Our innovative in-house software drives millions of trading decisions daily, allowing us to outperform the competition through faster, more effective decision-making.

Based in Amsterdam, IMC's Trading Strategy Software Engineers deliver a wide variety of applications, systems and tools, including trading algorithm implementations, options pricing, volatility calculations, simulation frameworks, and data analysis & visualization tools for traders.

Your Core Responsibilities:

You will work together with traders, researchers, quants, and fellow engineers. You will take ownership of the end-to-end product development process for deliver high-impact projects -from requirements gathering to production deployment. Your goal is to deliver high-performance, reliable software using frequent iterations to get quick feedback and shorten our time-to-market. Key responsibilities include:

• Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
• Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
• Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.

Your Skills and Experience:

• At least 3 years of experience as a Software Engineer with excellent programming abilities;
• Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
• Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
• Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
• Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
• Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
• Master’s or PhD degree (or equivalent experience) in Computer Science or a related field;
• Experience with JVM-based languages (Java, Kotlin) or Python;
• Advanced math and quantitative skills are a plus;
• Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
• Experience with large-scale data and research pipelines compute clusters is a plus

In our current Tech stack we work with Java 21+ and Python 3 as the main programming languages to implement our Strategy software. We constantly evolve our technology stack and look for tools that best suit the problems at hand. If a new technology holds promise, we actively explore, adopt, and develop it.

Please note: This internship is for students seeking a Spring Internship. Applications for our Summer Internship will open soon.

As a Quant Trading Intern at Da Vinci, you'll embark on an incredible journey within the world of trading. This internship offers an exceptional opportunity for students to kick-start their careers on the trading floor. Throughout your internship, you will collaborate closely with experienced traders, quantitative researchers and software engineers, allowing you to discover and explore your true passion within the field. By working on various projects, you will sharpen your skills and develop a deeper understanding of trading strategies, risk management, and market dynamics. To make your internship comprehensive and educational, we have designed an 8-week program:

Week 1-2: Theory classes, where you will delve into essential concepts and strategies.

Week 3-4: Simulated trading sessions, offering practical insights into real-world market scenarios.

Week 5: Programming sessions with intensive training, equipping you with the technical tools required for quantitative analysis.

Week 6-8: Collaborating on diverse projects that allow you to apply your newly acquired knowledge, engaging in hands-on challenges that further refine your skills and deepen your understanding of trading dynamics.

Your profile

Are you motivated and self-driven with a passion for learning and personal growth? If you are a student graduating in 2028 from fields such as mathematics, physics, engineering or similar, we invite you to apply for this internship! We are actively seeking enthusiastic individuals who possess a genuine interest in trading and are eager to embark on an exciting training experience. The application process for both our internship and full-time positions follows the same criteria, as we are committed to identifying exceptional talent and fostering long-term work relationship. Take this valuable opportunity to immerse yourself in the world of Da Vinci, gaining a comprehensive understanding of what a future full-time role entails. Should you thrive and find fulfilment during your internship, we would be delighted to extend an offer for a full-time position upon your graduation.

Benefits

• The opportunity to become a full-time quant trader or quant researcher after graduating
• Competitive compensation
• Full coverage of your flights and stay in Amsterdam
• Meals during work hours
• Social events and after-work drinks
• Bicycles to explore the city
• Sponsored gym membership
• In-house game room

Recruitment process

At Da Vinci, we understand the importance of a seamless application process. Here's an overview of what you can expect:

1. Submit your application
2. Online numerical quiz
3. Online introductory call
4. Online programming challenge 
5. Online technical interview
6. Online final interview
7. Congrats, you have an offer!

Mission (Business Support Engineering)

You will build and run internal products for IMC’s Business Operations teams, including People Management, HR, Training, Recruitment, and Finance.

These products enable and scale IMC’s training and recruiting processes through reliable systems, automation, and self-serve workflows.

Your core responsibilities

As a full-stack software engineer, you will take ownership end-to-end: from requirements gathering through production delivery, balancing quality, testability, and speed of delivery. 

Responsibilities:

• Design, build, test, deploy, and maintain internal Java/Spring Boot services, supporting HR/training/recruiting/finance workflows.
• Test, build, deploy and maintain frontend applications using React / Next.js in TypeScript
• Build and operate services in AWS, including monitoring, alerting, and incident response participation (as applicable).
• Implement infrastructure as code using AWS CDK (Cloud Development Kit), including secure-by-default patterns.
• Partner with internal stakeholders (People/HR/Training/Recruitment/Finance) to gather requirements, clarify priorities, and iterate on solutions.
• Drive quality through unit tests, integration tests and performance testing
• Contribute to engineering practices: CI/CD improvements, observability, documentation, and shared platform patterns.

Skills and experience (required)

• 3+ years software engineering experience delivering production systems end-to-end (requirements => production ownership).
• Strong Java skills (typically Java 11+; align with team standards).
• Strong Spring Boot experience building APIs and services.
• Solid grasp of modern front-end frameworks – ideally React.js
• Hands-on AWS experience running services in cloud environments.
• Solid testing practices: unit, integration, and performance testing.
• Docker and Kubernetes knowledge (build, run, troubleshoot containerized workloads).
• Comfortable working in Linux environments.
• Strong troubleshooting and pragmatic problem-solving.

Nice to have

• Python experience, specifically in data pipelining and tooling.
• Infrastructure as Code experience, specifically AWS CDK (or equivalent IaC with readiness to adopt CDK) is a plus.
• Experience with internal platforms and enterprise workflow automation.
• Experience with AI automation.

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

The Legal Counsel provides legal support in relation to the group’s corporate governance, employee equity participation plans, inter-company agreements, entity (re-)structuring, and acts as a business partner to internal stakeholders across IMC entities and departments. In addition, the role includes exposure to other legal work within the Holding Legal Team, including support on strategic investments, regulatory and other general legal matters.               

The Legal Counsel is a senior-level attorney, with 10+ years’ experience, seeking to further develop as a broad, business-oriented in-house legal counsel in a group holding company context. The role reports to a senior delegate of the Global General Counsel.

Core Responsibilities

Your responsibilities include, but are not limited to:

• Corporate Governance: Advise on corporate governance matters relating to IMC's top holding entity and across the IMC group.
• Inter-Company Agreements: Review, draft, and revise inter-company arrangements and agreements in support of the group's corporate structure at both the group and regional levels.
• Equity Plans: Advise on equity plans, including company and participant rights, obligations, restrictive covenants, and tax implications; assist in drafting and executing required documentation.
• Entity Structuring: Advise on corporate entity (re-)structuring and manage the formation, transfer, and dissolution of entities as required.
• Stakeholder Collaboration: Work closely with internal stakeholders — including Global Management, Finance, Tax, and Business Strategy — as a hands-on legal business partner.

As part of the broader Holding Legal Team, the role also includes:

• External Counsel Management: Support the management of external counsel and coordinate legal workstreams on larger, complex matters.
• Commercial Contracts: Draft, review, and negotiate commercial and other corporate contracts.
• Legal & Regulatory Monitoring: Track relevant legal and regulatory developments and contribute to the team's legal knowledge resources.
• Growth & Development: Benefit from opportunities for learning, development, and career growth across a broad range of legal topics, including strategic investments.

Your Skills and Experience: 

• A minimum of 10 years of relevant experience, gained in a combination of a top-tier law firm and an in-house environment
• Demonstrable experience in corporate governance, general corporate law, and M&A
• Familiarity with financial regulatory environments is a strong plus
• An understanding of (international) tax considerations in a corporate or M&A context is a strong plus
• Pragmatic, proactive and business-oriented mindset with a strong sense of ownership
• Strong and confident communicator
• Collaborative and service-minded team player, comfortable working with senior stakeholders
• Ability to act independently and perform successfully in a fast-paced and at times high-pressure environment
• Excellent command of Dutch and English.

About IMC

IMC is a leading global trading firm operating at the intersection of technology, trading, and market structure. We believe compliance is most effective when embedded in the business — providing insight, constructive challenge, and practical solutions, not just rules.

The Role

We are seeking a Compliance Officer to act as a strategic partner to Trading and Technology. In this role, you will translate complex regulatory and market conduct requirements into clear, pragmatic, and commercially sound guidance.

You will combine strong regulatory expertise with a deep understanding of trading strategies, algorithmic trading systems, and market structure to enable responsible innovation while maintaining the highest standards of market integrity.

Key Responsibilities

Strategic Business Partnering

• Act as trusted advisor to Trading & Technology on regulatory & market conduct matters
• Embed compliance into strategic and operational decision-making
• Provide constructive challenge while balancing regulatory and commercial objectives
• Build strong relationships across Trading desks and Technology teams

Regulatory Advisory & Oversight

• Serve as subject matter expert on EU and Dutch financial regulation
• Translate regulatory and exchange requirements into risk-based, practical guidance
• Review new trading strategies, algorithms, and technology developments
• Conduct regulatory self-assessments (including RTS 6 and MAR)
• Monitor regulatory developments and enforcement actions; provide forward-looking regulatory intelligence

Regulatory Engagement & Representation

• Represent IMC in interactions with regulators, exchanges, and industry associations
• Coordinate responses to regulatory inquiries, examinations, and investigations
• Support and manage regulatory reviews and projects

Compliance Program & Risk Management

• Support the development and maintenance of the compliance framework
• Ensure compliance risks and issues are appropriately identified, escalated, and reported
• Prepare and present compliance reporting and management updates
• Contribute to surveillance design and assist in investigations where necessary
• Draft and update compliance policies and procedures
• Prepare and deliver compliance training

What We’re Looking For

Experience & Knowledge

• 5+ years of experience in compliance within financial markets, preferably in an algorithmic trading environment
• Strong knowledge of regulations applicable to algorithmic trading firms (MiFID/RTS 6)
• Solid understanding of global financial markets and market structure
• Experience partnering with Trading and Technology in a business-aligned role
• Experience interacting with regulators and managing regulatory inquiries

Skills & Competencies

• Strong analytical and problem-solving skills with attention to detail
• Excellent judgment and decision-making ability
• Clear, concise written and verbal communication skills in English
• Ability to operate effectively in a fast-paced, dynamic environment
• Strong stakeholder management skills across all seniority levels
• Structured, proactive, and hands-on approach
• High sense of ownership and accountability
• Ability to manage multiple priorities and meet deadlines
• Proficiency in Microsoft PowerPoint and Excel
• Collaborative team player

What We Offer

• A senior, influential role embedded at the heart of the business
• Direct exposure to Trading and Technology decision-makers
• Opportunity to shape how compliance supports innovation and growth
• High-performance, collaborative culture
• Competitive compensation and benefits

The Role 

Our growing Amsterdam team is a dynamic group dedicated to developing execution strategies for APAC exchanges, contributing to CTC’s global options market-making and volatility alpha suite. Close collaboration with colleagues in Chicago, New York, and London creates an energetic environment where interesting and complex problems are tackled together. The team has delivered impressive results on challenging initiatives, driven by expertise and a shared commitment to impactful solutions and trading outcomes.   

The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role on a team as a Quantitative Trader. 

As a QTA, you will work in a high-impact role as a member of a trading team where technology and quantitative analysis are fundamental to success. You will play a vital part in identifying trading opportunities through our advanced trading platforms while collaborating closely with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of our tech-driven trading operation and work towards generating trading revenue for the team. Through our integrated trading and technology curriculum, you'll develop expertise in both financial markets and the sophisticated technological infrastructure that powers CTC's trading capabilities. We encourage competitiveness and collaboration in equal measure and strive to better each other to win as one team. 

What to Expect 

Due to the dynamic nature of this business, we cultivate an environment of continuous learning and growth through an in-house education department. Through formal classroom work, mock trading, and real-time practical exposure, you will gain a holistic introduction to the derivatives market while sharpening your quantitative skillset. You can expect: 

• An introduction to options pricing, theory, trading philosophies, and programming courses 

• Exposure to different product areas and responsibilities 

• One-on-one mentorship from senior members in the firm 

• Opportunities to grow quickly and start making autonomous trading decisions 

• Participation in data-driven research for the purpose of alpha generation 

What it takes for you to be successful: 

• You have a competitive drive and are a highly motivated individual that only gets stronger as part of a collaborative team 

• An aspiration to collaborate with traders, quants, developers, and other experts to further CTC's goal of providing world class liquidity to financial markets 

• You love solving complex problems 

• You're intellectually curious and like to challenge the status quo 

• You can effectively communicate sophisticated ideas both written and verbally 

• Strong quantitative and analytical abilities 

• Strong python programming skills 

• No prior experience in finance is necessary, but a deep curiosity and a hunger to learn is essential 

Key requirements: 

• Pursuing a bachelor’s or master’s degree. All majors and concentrations welcome. 
• You have a demonstrated record of success (academics, awards, etc.) 

• You are willing to relocate to Amsterdam, The Netherlands  

Why should you consider a career at CTC? 

• Be part of a fast-growing, industry-leading global trading company 

• Opportunity to work with and learn from forward-thinking leaders in our industry 

• Experience innovation, teamwork, and fun while working in an intellectually stimulating environment 

• Join an ambitious, collaborative workplace where there is no limit to what you can learn and what you will be able to contribute 

• Excellent growth potential 

• Competitive pay and comprehensive benefits package including free breakfast and lunch (and healthy snacks of course!) as well as a fitness center membership 

The Role 

Our growing Amsterdam team is a dynamic group dedicated to developing execution strategies for APAC exchanges, contributing to CTC’s global options market-making and volatility alpha suite. Close collaboration with colleagues in Chicago, New York, and London creates an energetic environment where interesting and complex problems are tackled together. The team has delivered impressive results on challenging initiatives, driven by expertise and a shared commitment to impactful solutions and trading outcomes.   

The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role on a team as a Quantitative Trader. 

As a QTA, you will work in a high-impact role as a member of a trading team where technology and quantitative analysis are fundamental to success. You will play a vital part in identifying trading opportunities through our advanced trading platforms while collaborating closely with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of our tech-driven trading operation and work towards generating trading revenue for the team. Through our integrated trading and technology curriculum, you'll develop expertise in both financial markets and the sophisticated technological infrastructure that powers CTC's trading capabilities. We encourage competitiveness and collaboration in equal measure and strive to better each other to win as one team. 

What to Expect 

Due to the dynamic nature of this business, we cultivate an environment of continuous learning and growth through an in-house education department. Through formal classroom work, mock trading, and real-time practical exposure, you will gain a holistic introduction to the derivatives market while sharpening your quantitative skillset. You can expect: 

• An introduction to options pricing, theory, trading philosophies, and programming courses 

• Exposure to different product areas and responsibilities 

• One-on-one mentorship from senior members in the firm 

• Opportunities to grow quickly and start making autonomous trading decisions 

• Participation in data-driven research for the purpose of alpha generation 

What it takes for you to be successful: 

• You have a competitive drive and are a highly motivated individual that only gets stronger as part of a collaborative team 

• An aspiration to collaborate with traders, quants, developers, and other experts to further CTC's goal of providing world class liquidity to financial markets 

• You love solving complex problems 

• You're intellectually curious and like to challenge the status quo 

• You can effectively communicate sophisticated ideas both written and verbally 

• Strong quantitative and analytical abilities 

• Strong python programming skills 

• No prior experience in finance is necessary, but a deep curiosity and a hunger to learn is essential 

Key requirements: 

• Pursuing a bachelor’s or master’s degree. All majors and concentrations welcome. 
• You have a demonstrated record of success (academics, awards, etc.) 

• You are willing to relocate to Amsterdam, The Netherlands  

Why should you consider a career at CTC? 

• Be part of a fast-growing, industry-leading global trading company 

• Opportunity to work with and learn from forward-thinking leaders in our industry 

• Experience innovation, teamwork, and fun while working in an intellectually stimulating environment 

• Join an ambitious, collaborative workplace where there is no limit to what you can learn and what you will be able to contribute 

• Excellent growth potential 

• Competitive pay and comprehensive benefits package including free breakfast and lunch (and healthy snacks of course!) as well as a fitness center membership 

We are looking for an experienced HRIS Team Lead to oversee our HR technology function with a strong emphasis on people leadership, technical excellence, and global team direction. This role combines deep HRIS and Workday expertise with inspiring leadership and clear decision-making.

You will lead a globally distributed HRIS team, set priorities, and ensure our HR systems are reliable, scalable, and well-managed. You will play a pivotal role in shaping how HR technology supports both business and employee experience, while building a high-performing team across regions.

This is a hands-on leadership role for someone who enjoys developing people, improving systems and processes, and providing direction in a complex and fast-moving environment.

Responsibilities

People Leadership & Team Development

• Lead, inspire, and develop a globally distributed HRIS team, creating a strong sense of purpose and shared accountability
• Build a cohesive team culture across regions through trust, inclusion, and consistent leadership
• Coach team members through regular feedback, development conversations, and supportive challenge
• Create an environment where people feel confident to share ideas, raise issues, and continuously improve

HRIS Strategy & Direction

• Own the HRIS strategy, aligned to People and business priorities as per the HRIS Roadmap
• Translate HR and business strategy into measurable HRIS outcomes
• Provide strategic direction for architectural, AI, and automation initiatives led by the HRIS Architect
• Balance strategic progress with operational stability

Prioritization & Delivery

• Own the delivery of HRIS initiatives, partnering with the HRIS Project Manager — who manages intake, backlog, sprint planning, and roadmap maintenance — to ensure effective prioritisation and continuous improvement of the delivery process
• Make informed trade-offs of priorities based on impact, risk, and capacity, applying best practice to balance local priorities with a global vision
• Ensure delivery meets agreed timelines, quality standards, and business expectations

HR Technology Platform Accountability

• Be accountable for the stability, scalability, and effectiveness of our HR technology ecosystem, including: Workday (Core HCM, Compensation, Time Tracking, Absence Management, Talent & Performance), Greenhouse (Recruiting/ATS), Glint (Engagement), Reflektive (Performance Management)
• Work with the HRIS Architect and team to ensure strong governance across configuration, security, release management, and documentation
• Act as senior escalation point for complex or high-impact HRIS issues
• Balance consistent global standards with appropriate regional flexibility

Process Improvement

• Drive continuous improvement across HRIS processes, workflows, and operating models
• Identify and implement opportunities to simplify processes, reduce manual effort, and improve efficiency
• Use data and performance metrics to monitor system health and identify improvement opportunities

Stakeholder Partnership

• Proactively engage and build trusted relationships with key HR stakeholders, providing regular updates to HR through 1:1 calls, newsletters, and written updates
• Build trusted relationships with IT Ops, People Analytics, and business stakeholders globally
• Ensure systems deliver accurate, reliable data for reporting and decision-making
• Communicate confidently, making HR technology accessible to non-technical audiences

Requirements

• Bachelor's degree in Human Resources, Information Systems, Business, or equivalent practical experience
• 8+ years of progressive HRIS experience, including 5+ years with Workday
• 3+ years leading technical teams, ideally in a global or multi-region context
• Hands-on experience configuring Workday Core HCM, Compensation, Time Tracking, Absence Management, and Talent & Performance
• Experience with applicant tracking systems (Greenhouse preferred) and HR technology ecosystem management
• Proven ability to manage multiple HR platforms and their integrations
• Demonstrated success driving process improvement and simplifying workflows
• Strong understanding of HR data, reporting, and data quality principles
• Experience working in agile or sprint-based delivery environments
• Ability to translate technical concepts into clear solutions
• Confident, collaborative leadership style with a people-first approach
• Willingness to travel to other IMC offices (Chicago, Sydney, Mumbai) and flexibility to join out-of-hours calls where required.

Preferred:

• Workday certifications (HCM Pro, Compensation, Absence, Time Tracking, Talent & Performance)
• Experience with Greenhouse, Glint, Reflektive, or similar platforms
• Experience with HRIS integrations and APIs across multiple systems
• Background in tech industries
• Exposure to AI/automation in HR systems

Join our new Amsterdam-based team to expand CTC’s footprint in the APAC market, contributing to our global options market-making and volatility alpha suite. Partner with our Chicago, New York, and London offices to build low-latency alphas and execution strategies on APAC exchanges. Be a leading member of this tight-knit and experienced team to make startup-level impact at a well-established firm.
 
If you’re motivated by precision C++ engineering and the thrill of tackling intricate technical challenges, we’d love to meet you!

What You’ll Do

• Design, implement, and deploy trading strategies using modern C++ features.
• Partner with Traders and Quant Researchers to develop best-in-class execution and low-latency market making strategies.
• Foster collaboration with other teams including operations, pricing, exchange access, inventory and risk management, and test automation.
• Ensure operational safety and uphold the highest standards of software engineering by thoroughly testing code, following a coherent and maintainable design and architecture, and adhering to best practices—prioritizing carefully planned, well-structured solutions over ad hoc implementations.

What We’re Looking For

• Proficient in developing performant, scalable trading applications using modern C++; knowledge of C++20 preferred
• Experience with multi-threaded programming and distributed application architecture
• Strong interpersonal skills with the ability to build trust, collaborate, and influence cross-functionally.
• Ability to quickly triage issues and drive the resolution effort through completion.
• Comfortable making architectural decisions independently.
   

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level possible, working to achieve our goal of building one of the best proprietary trading firms in the world.

Are you looking for an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion? Then this is your once-in-a-lifetime opportunity to be part of a successful and fast-growing company.

Responsibilities

Depending on your background and focus, your responsibilities may include:

As a Quant Trader

• Generate profits, trading by position taking and market making
• Manage and monitor trading risk in real-time
• Develop and refine strategies for both existing and new markets
• Optimize desk performance, devise new trading strategies and improve trading infrastructure

As a Quant Researcher:

• Analyze large datasets to identify trading opportunities
• Develop tools that translate data analysis results into useful inputs for trading
• Build and back test quantitative models and strategies
• Collaborate with traders and developers to bring strategies to production
• Explore new markets and refine existing models and tools

As a Quant Developer:

• Design and implement high-performance trading systems and tools
• Collaborate with researchers and traders to translate ideas into robust, scalable code
• Improve infrastructure, latency, and deployment workflows
• Ensure reliable operation in live trading environments

Requirements

• 3 to 10 years of experience in a quantitative role (trading, research, or development) at a prop shop like ours or similar
• A strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related field
• Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)
• Proficiency in programming (Python, C++)
• A strong analytical mindset, attention to detail, and a desire to continuously improve
• Excellent communication skills and a team-oriented approach
• A proactive, entrepreneurial attitude and comfort working in a fast-paced, evolving environment

Benefits

• Base salary of EUR 100k, with total compensation (including performance-based bonuses) expected to be 500k + USD annually
• Outstanding performance is also rewarded with shareholding in the company
• A relocation package when moving from abroad, including a relocation budget, flight coverage, house-finding service and expat support
• Meals during work hours
• Social events and after-work drinks
• Reimbursement of travel costs
• Sponsored gym membership
• In-house game room (pool table, board games and console games)

At IMC, we believe technology is the foundation of our competitive edge — and machine learning is increasingly central to how we trade. Over the past few years, we've been steadily building our machine learning capabilities: developing infrastructure, growing our in-house GPU cluster, deploying models into production, and partnering closely with quant researchers and traders to generate real impact. Now we’re expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows.  We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform — influencing architecture, driving best practices, and solving high-leverage problems. You’ll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models — and help set the direction for how machine learning is done at IMC as we scale. If you’ve built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firm’s future — we’d love to hear from you.

Your Core Responsibilities: 

• Design and build end-to-end infrastructure for training, evaluation, and productionization of ML models, working closely with our HPC engineers who manage our on-prem compute cluster
• Influence foundational choices around data access, compute orchestration, experiment tracking, model versioning, and deployment pipelines
• Partner with quant researchers to accelerate iteration cycles, tighten feedback loops, and bring models from prototype to live trading
• Work with researchers to adapt and deploy modern architectures — transformers, state-space models, temporal convolutions, graph neural networks — to noisy, high-frequency financial data. Explore techniques like self-supervised pretraining, representation learning, and cross-sectional modelling where they offer genuine edge
• Shape our approach to reproducibility, continual learning, and production monitoring across a petabyte-scale data environment
• Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
• Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work — whether that's new architectures, training techniques, or tooling

Your Skills and Experience: 

• 8+ years of experience building ML platforms or infrastructure at a leading tech company, research lab, or quantitative firm
• A track record of designing and owning large-scale training and inference systems — not just contributing, but architecting
• Deep proficiency in Python, with strong experience in either CUDA or C++
• Hands-on expertise with modern deep learning frameworks (PyTorch, TensorFlow, or JAX) and practical experience implementing architectures like transformers, attention mechanisms, or sequence models
• Strong foundation in deep learning fundamentals: optimization, regularization, loss design, and the trade-offs that matter when training at scale
• Experience with distributed training at scale (Horovod, NCCL) and GPU optimization (cuDNN, TensorRT)
• History of deploying models to production with strong observability, reproducibility, and monitoring practices
• Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

Why This Role: 

• Build, don't inherit — You'll make foundational technology choices in a platform that's still being defined, not maintain someone else's legacy.
• Real investment, real backing — This is a strategic priority with resources behind it, not a side experiment.
• Direct impact on trading — Your infrastructure will power models that make real trading decisions in competitive global markets.
• Global scope — Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and beyond; define practices that can scale worldwide.
• Ideas over titles — IMC's culture values clarity, rigor, and collaboration. The best ideas win, regardless of where they come from.
• Tight coupling with research — You won't be building in isolation. Researchers and engineers work side-by-side, iterating together.

#LI-DNP

In 2023, IMC acquired Altas Technologies, a rapidly growing algorithmic trading firm with the ambition of creating tomorrow’s most technically advanced trading stack. By combining Altas’ highly advanced trading strategies with IMC’s execution and scaling capabilities, this move strengthens IMC's position in the market and is an important step towards ensuring stability and long-term growth for the firm.

The Altas team builds robust, fully automated systems to predict and trade cryptocurrency markets.  As a technology-oriented and scientifically-minded group, we design and build our own cutting-edge systems, from high-performance trading platforms to distributed ML- and research infrastructure. You’ll join at a very exciting time in the growth of the team, and will be able to contribute to our success in scaling our crypto strategies. In this role you'll work together with an ambitious team of researchers and quant developers to design and implement HFT monetization frameworks end-to-end and from the ground up. 

Your Core Responsibilities

As a Quantitative Researcher, you will be operating as a senior and core member of our high-performance, dedicated, multi-disciplinary team, with a background in Mathematics, Physics, Computer Science, Robotics, Data Science, Engineering, Statistics. The one thing we all have in common, regardless of our individual backgrounds, is a creative and scientific mindset.

You will not get a lot of top-down instruction telling you exactly what to do and when to do it. You'll get directional advice, useful frameworks, access to interesting challenges, and plenty of freedom to execute as you see fit. We are meritocratic by nature and believe that empowering talent in our organization is the only way to achieve our highly ambitious goals.

We are looking for a creative scientifically minded individual who can lead the growth of the firm’s trading research to improve execution quality in delta 1 mid-frequency (intraday) trading context. As a Quantitative Researcher, you will work together with the engineering team to implement and test execution improvements, and the research team to improve the strategies' capacity and profitability from the perspective of trading costs.

• You will have full ownership of the design and development of models and algorithms responsible for trading and optimal execution of billions in monthly volume
• You will work together with peer researchers and quant developers to design and improve HFT monetization frameworks end-to-end and from the ground up. This includes HFT alpha research, market impact modeling, ML modeling, execution benchmarking, and performance profiling
• Analyze large orders- and trades datasets for post-trade analytics, and improve monitoring capabilities to ensure we are always on top of the market, decomposing PnL and identifying blind spots / opportunities in the algorithms.

Your Skills and Experience

• An advanced degree with excellent grades in Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or any other highly quantitative field
• Experience as a Researcher in (high to mid-frequency) D1 execution research, ideating trades- and book features that are predictive of execution costs and short-term price movements.
• Demonstrable experience and interest in crypto markets is highly preferred.
• Significant practical experience with large messy datasets.
• Understanding of position management, market risk, and the optimal execution side of quant strategies (implementation shortfall, trade cost modelling).
• Scientific mindset with experience in data analysis with Python & any SQL dialect. Strong eye for detail and highly structured, using a rigorous process to ensure results are reliable and well tested
• Serious about clean code, simple but well-architected systems, and continuous improvement
• Sense of ownership taking full responsibility and accountability for your contributions
• Technical accomplishments are considered a plus: Kaggle, Hackathons, Olympiads, publications

As a trader assistant, you’ll get a first-hand experience of what it’s like to work at IMC during your studies while adding value as an integral part of IMC’s trading team. It’s your chance to show us what you’re capable of, both analytically and as a teammate. You’ll be responsible for your own projects, with support from our skilled traders and engineers where needed. This is a unique opportunity to develop yourself professionally and to build that ‘can do’ mindset.

YOUR CORE RESPONSIBILITIES

• Support our trading teams by analysing data and building tools to make the trader’s life easier
• Collaborate closely with IMC’s traders and engineers
• Learn about the trading industry, what it is like to be trader and have the freedom to find your niche
• Receive guidance from a dedicated mentor and the opportunity to build valuable connections with other full-time employees

YOUR SKILLS AND EXPERIENCES

• In your penultimate year of study in mathematics, physics, econometrics, or a related quantitative field at a university in the Netherlands graduating in 2026 or 2027
• Experience in Python is required
• Outstanding analytical skills
• A genuine interest in financial markets (no prior knowledge or experience is required)
• Available to work part-time (20-hours per week) in the IMC Amsterdam office for at least 6-months

Please note that the nine-month cool-down period still applies if you have applied for a Trading position within the last nine months. We encourage you to focus on further developing your skill set before reapplying.

Technology is at the heart of modern electronic trading. IMC is seeking highly driven individuals to apply quantitative research techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in the highly competitive world of ultra-low-latency trading.

As a Performance Engineer at IMC, you will play a pivotal role in analysing, optimising, and tuning our systems interaction with exchange systems holistically. Working closely with cross-functional teams, you’ll be tasked with uncovering performance improvements across the trading stack. This role combines technical ingenuity with creative problem-solving to outsmart competition in one of the most demanding technical landscapes.

Your Core Responsibilities

• Black Box Reverse Engineering and Analysis: Analyse and understand the behaviour of complex systems using black-box techniques, identifying performance bottlenecks and optimisation opportunities. Designing and performing statistical experiments to explain emergent real world phenomena.
• Quantitative research: use large datasets to understand exchange technology.
• Experimentation & Prototyping: Design, implement, and test innovative ideas, experiments and technologies. Develop quick internal prototypes to evaluate performance and real-world applicability.
• Collaboration & Communication: Liaise effectively with traders, software and hardware engineers, and infrastructure teams to share insights and implement solutions.
• System Analysis: Analyse terabytes of network data to identify patterns, validate hypotheses, and optimise system performance.

Your Skills and Experience 

• Proficient understanding of computer internals, networking and Linux (at least two out of three). Skilled in reverse engineering techniques.
• Inquisitive mind. Think Sherlock Holmes and the case of the missing microsecond.
• Understanding of complex, bespoke networks and networking stacks.
• Experience with data and system analysis in Python
• Be able to work self-sufficiently with minimal guidance after internal training
• Capable of working autonomously while contributing to a multidisciplinary team. Always looking for ways to gain an edge.

About the Role:  

We seek an experienced, detail-oriented Payroll Manager to join our team, consisting of 2 other Payroll Specialists.

As a payroll manager, you will oversee all aspects of payroll processing, ensuring accuracy, compliance and timely payments of employees at our organisation. You will also collaborate with various departments to gather and validate payroll information, resolve payroll discrepancies and provide exceptional service to our employees.

The ideal candidate possesses strong knowledge of tax and payroll regulations, and thrives on efficiency/AI automations.

Your Core Responsibilities: 

• Overseeing end-to-end payroll processing, including salary calculations, deductions and benefits administration, such as provident fund, insurance and healthcare plans.
• Collaborating with the human resources and finance departments to seamlessly integrate payroll and employee data.
• Manage end-to-end payroll processing, including collecting, calculating and inputting payroll data for all employees
• Administer pension plan records, ensuring correct employee and employer contributions, timely reporting to pension providers, and compliance with Dutch pension legislation (Pensioenwet).
• Manage group insurance schemes including disability, life, and income protection policies — liaising with insurers, processing claims, and keeping employee records up to date.
• Ensure accuracy and compliance with applicable laws, regulations and company policies while processing payroll.
• Administer and maintain payroll systems, ensure data integrity and implement system upgrades and enhancements.
• Collaborate with HR, finance and other departments to gather and validate payroll information, such as new hires, terminations, promotions and salary changes.
• Monitor and resolve payroll discrepancies, investigating and resolving issues promptly and accurately.
• Generate payroll reports, including tax filings, benefits deductions and other required reports, ensuring compliance with regulatory requirements.
• Automating existing payroll processes

Your Skills and Experience: 

• Bachelor’s degree in accounting, finance, human resources or a related field.
• 5+ years of experience in (hands-on) payroll management
• In-depth knowledge of Dutch payroll processes, labour laws, taxation. Knowledge of other European countries is a plus.
• Experience in handling payroll audits, inspections and compliance assessments.
• Proficiency in payroll software and systems, such as ADP, with experience implementing and managing payroll systems.
• Excellent understanding of financial principles and the ability to reconcile payroll with financial records.
• Strong attention to detail and accuracy in managing complex payroll calculation data.
• Good organisational and time management skills to meet strict payroll deadlines and manage multiple priorities.
• Exceptional communication and interpersonal skills, with the ability to interact effectively with employees at all levels of the organisation.
• High level of integrity and ability to handle sensitive and confidential information.
• Proficiency in Microsoft Office applications, particularly Excel.

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.

Your Core Responsibilities: 

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience: 

• 5+ years of experience in machine learning with a focus on training or inference systems
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Exposure to cloud platforms and orchestration tools
• A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

#LI-DNP

Our Index Options team chases edge in volatility valuation, detailed execution, and fast technology. We are making a big push in our ability to price vol and take risk, with the goal of growing into a leading volatility desk in the marketplace. We are a highly collaborative group of generalists and specialists. Together we strive to have deep expertise, ownership, and innovation in the topic areas that are important to winning in the Index Options space.

 Your Core Responsibilities

• Maximize revenue by identifying and monetizing short- and long-term mispricing, as well as managing the resulting positions
• Monitor and react to volatility shifts, liquidity changes, and macro events.
• Take ownership of index options trading books across EU and/or US markets with a focus on opportunistic, high-risk/high-reward strategies
• Deploy directional and volatility-based trades with strong conviction, backed by market intuition, quantitative signals and rigorous scenario analysis
• Collaborate with quants and engineers to refine pricing models and volatility surfaces and to improve execution tools, automation and latency
• Back test signals and validate new trading ideas.
• Provide feedback to enhance risk systems, scenario tools, and vol surfaces.
• Perform post-trade reviews to continuously improve execution and hedging.
• Be able to take lots of responsibility and ownership early in your time here to drive the strategy forward.

Your skills and experience:

• 2+ years of Index Options Volatility trading experience
• BS, MS, or PhD, preferably in business, economics, or STEM
• You have an entrepreneurial mindset and a healthy appetite for risk
• You have a proven ability to act and make decisions in a fast-paced and competitive environment
• You are analytical, passionate about reflecting on past trades, and always seeking to do better
• You have a deep understanding of fundamental drivers of volatility dynamics
• Strong proficiency in Python

Your IMC journey as a Graduate Trader begins with a six-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you will deepen your knowledge about trading and financial markets, IMC’s trading strategies, and our proprietary trading systems. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced trader at IMC. Our trading teams span across discretionary, systematic, and execution-focused roles, giving you the chance to apply your skills in strategy, quantitative modelling, or market execution. Following the programme, you will be placed on a desk that best matches your strengths and interests, so you can hit the ground running. You’ll receive recognition for your ideas and successes every step of the way.

YOUR CORE RESPONSIBILITIES

• Trade a wide range of financial instruments
• Develop, maintain, and improve trading strategies and algorithms
• Manage the execution and risk of complex trading portfolios
• Collaborate closely with IMC’s technology developers and engineers

YOUR SKILLS AND EXPERIENCES

• In your ultimate year of study in mathematics, physics, econometrics, or a related quantitative field, and are seeking to join IMC full-time in February or August 2026
• Experience in a programming language is a plus (e.g. Python, Matlab or R)
• First-class analytical skills
• A genuine interest in financial markets (no prior knowledge or experience is required)

Please note: This position can be based in either our Amsterdam or London office. If you have a preference on location, we encourage you to let us know, however, it cannot be guaranteed.

If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in September 2026. We encourage you to focus on enhancing your skillset before reapplying.

Due to U.S. consulate restrictions, candidates from certain nations (including Russia, Belarus, and Iran) are required to apply for their visa in a designated third country or to prove strong ties with a country of residency. Since the global traineeship begins shortly after employment starts, there is not enough time to establish the ties with the Netherlands which is needed for approval. As a result, we are unable to proceed with your candidacy for the graduate traineeship programme at this time. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com.

For more information on our trading interview process, please review our preparation guide here. 

Your IMC journey as a Graduate Software Engineer will begin with a five-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you’ll deepen your knowledge about trading and financial markets, understand the tools and systems used at IMC, and learn how to write production software, craftsmanship and advanced topics in C++, Java or Python. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced software engineer at IMC. What happens next is up to you – on our Execution teams you might build anything from advanced networks to proprietary algorithms, while on our Strategy teams you could design systems powering big data and cutting-edge analytics.

YOUR CORE RESPONSIBILITIES

• Develop cutting-edge technology in advanced algorithms
• Support the development of our trading platform and software stack
• Gain experience across the entire software development lifecycle
• Collaborate with traders, quant researchers, and hardware engineers to improve our systems

YOUR SKILLS AND EXPERIENCES

• In your ultimate year of study in computer science, software engineering, or a related field graduating, and are seeking to join IMC full-time in February or August 2026
• Proficiency in C++ or Java is required. Additionally, experience with Python is preferred
• A working knowledge of algorithms and data structures
• First-class analytical skills and a desire to solve complicated problems programmatically
• A genuine interest in financial markets (no prior knowledge or experience is required)

Please note: You’ll have the opportunity to complete the recruitment process in your preferred programming language (Java or C++). Please note, however, that exclusive use of one language cannot be guaranteed.

If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in September 2026. We encourage you to focus on enhancing your skillset before reapplying.

Due to U.S. consulate restrictions, candidates from certain nations (including Russia, Belarus, and Iran) are required to apply for their visa in a designated third country or to prove strong ties with a country of residency. Since the global traineeship begins shortly after employment starts, there is not enough time to establish the ties with the Netherlands which is needed for approval. As a result, we are unable to proceed with your candidacy for the graduate traineeship programme at this time. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com.

For more information on our technology interview process, please review our preparation guide here. 

About the role

As a Global Internal Auditor at IMC, you’ll work across global teams to evaluate and enhance the effectiveness of our processes, programs, and systems. You’ll take ownership of end-to-end audits, providing assurance that internal controls are well-designed and operating effectively. This role offers the opportunity to act as a trusted advisor to the business, driving improvements and helping shape IMC’s control environment. Over time, you’ll have the freedom to expand your responsibilities and influence, using your insights to make a meaningful impact in a fast-paced, technology-driven environment.

Your core responsibilities

• Lead and execute end-to-end internal audits across global business units
• Assess the design and effectiveness of internal controls, processes, and systems
• Provide clear, actionable recommendations to enhance operational efficiency and risk management
• Partner with stakeholders across all levels and regions to deliver practical audit outcomes
• Prepare and present high-quality audit reports and findings in clear, concise language
• Support continuous improvement by identifying opportunities for innovation and process enhancement
• Travel internationally (approximately 25%) to conduct audits and collaborate with global teams

Your skills and experience

• University degree in Economics or a related discipline
• 5–7+ years of relevant audit or assurance experience
• Proven ability to drive change, deliver results, and engage effectively with diverse stakeholders
• Strong analytical, problem-solving, and communication skills in English (Dutch is a plus)
• Highly adaptable, proactive, and able to manage multiple priorities in a dynamic environment
  
  

We are a small and dynamic international team of engineers and technologists responsible for the management and operations of our European Trading Infrastructure.

We are currently looking for a hands-on Data Center Engineer to join our team in Amsterdam. The ideal candidate is a mid-career level System- or Data Center Engineer, with good working knowledge in the fields of IT hardware and data center technologies. Hands-on experience with systems and network administration in a data center or production environment.

As part of the Trading Infrastructure Team, you will work closely with our System and Network Engineers and business support teams based in Amsterdam. You will be in regular contact with our colocation hosting partners and hardware vendors. The position requires frequent travels and out-of-hours work in our European colocation facilities.

The role comes with lots of flexibility and space for personal development and presents a great opportunity for those who aspire to learn new technical skills and widening their field of expertise. If you are enthusiastic about cutting edge technologies, proactive in your way of working, possess get-it-done attitude and feel comfortable taking ownership and working under minimal supervision, we would like to hear from you!  

Your core responsibilities

• Support the lifecycle process of our physical server, network and other IT infrastructure components;
• Physical installation and maintenance of server and network components in our data centers;
• Design rack layouts and patching schedules;
• Troubleshoot hardware faults and coordinate the RMA process with suppliers;
• Handling of incoming and outgoing shipments and deliveries;
• Manage physical and administrative aspects of hardware inventory and component stock levels;
• Create and maintain technical documentation of our physical infrastructure and related processes;
• Liaise with data center remote hands support;
• Ensure good working relationship with hardware vendors and hosting partners;
• Frequent travel (up to 50%) and flexible working hours, including work outside of core business hours and during weekends/holidays

Your skills and experience

• 5+ year hands-on experience in the area of data center engineering or technical field support;
• Good understanding of server, data storage and network hardware;
• Knowledge of network cabling, optical transceivers types;
• Working experience in data center environments (racking, cabling);
• Solid knowledge of Linux-based systems and networking;
• Good scripting skills (python, bash) to support automation, monitoring, and operational tasks;
• Excellent time management with great sense of urgency and ability to prioritise;
• Proven ability to work in a team-oriented environment with minimal direct supervision;
• Demonstrated talent for solving problems proactively and creatively, result oriented;
• High degree of flexibility and adaptability – must feel comfortable in a dynamic working environment;
• Ability to safely lift and move up to 25kg and to work in elevated locations;
• Valid driving license.

About the role

We're looking for an Operational Risk Manager to join IMC's Operational Risk Management (ORM) team and lead operational risk frameworks and prudential risk across our European offices.

The key focus areas for this role are split between operational risk and prudential risk. Operational risk covers the Key Control Framework (KCF), Risk Control Self-Assessments (RCSA), risk surveys, risk culture, and Business Continuity Planning (BCP). Prudential risk focuses on IFR/IFD regulatory frameworks including the Internal Capital Adequacy and Risk Assessment (ICARA) process, Pillar 3 disclosures, prudential reporting, and participation in IFR-related working groups across associations (EPTA, APT) and regulators (FCA, DNB).

You will partner with Trading, Technology, Compliance, and other teams across the organization to ensure risk controls are appropriately embedded in systems and processes. The role reports to the European Head of Risk and is based in Amsterdam, with regular travel across our European offices (London, Zug, Aarhus). You will join a growing dedicated ORM team as the second member and collaborate with ORM colleagues globally.

Your Core Responsibilities: 

• Own and continuously enhance the Key Control Framework, ensuring effective testing, monitoring, and assurance of critical firm-wide controls
• Conduct annual Risk Survey, Culture assesment and Risk Control Self-Assessment process to ensure proactive and consistent identification, evaluation, and mitigation of key risks
• Partner with Trading, Technology, Compliance and other teams to ensure risk controls are appropriately embedded in systems and processes
• Lead Business Continuity Planning (BCP) processes and testing across European offices
• Lead ongoing IFR/IFD prudential risk management for Amsterdam and London entities
• Own the Internal Capital Adequacy and Risk Assessment (ICARA) process, Pillar 3 disclosures, and prudential reporting for both jurisdictions
• Participate in IFR-related working groups across associations (EPTA, APT) and engage with regulators (FCA, DNB) on prudential risk matters

Your Skills and Experience: 

• At least 5+ years of relevant operational & prudential risk management experience in financial services or trading environments
• Proven experience interpreting prudential risk regulations, translating them into practical implementation, and understanding how they impact the business (IFR/IFD experience preferred)
• Plus when direct experience with ICARA processes, Pillar 3 disclosures, and prudential reporting
• Demonstrated experience developing and implementing Operational Risk frameworks, including RCSA and Key Control frameworks
• Understanding of financial markets, trading operations, and associated risk exposures
• Strong analytical skills with attention to detail and ability to work with complex regulatory requirements
• Excellent stakeholder management and communication skills, with the ability to influence and engage credibly at all levels of the organization
• Leadership capabilities with ability to develop and mentor team members
• Academic background in a relevant field (finance, risk management, economics, or related disciplines)
• Excellent verbal and written communication skills in English

About the role: 

IMC is seeking an Associate to join the Middle Office team. In this role, you will identify, investigate and reconcile trade, position and cash exceptions, working directly with trading desks, clearing firms, exchanges and brokers. You’ll have the unique opportunity to work side-by-side with Traders while building a high-level understanding of the business through daily, cross-functional relationships. As part of a collaborative team of smart, technically strong individuals, you’ll continue to develop your skills and broaden your knowledge of financial markets as the business grows and evolves.

Your Core Responsibilities: 

• Identify, investigate, and reconcile trade, position, and cash breaks
• Own the daily P&L substantiation, reconciliation and daily management reporting
• Reconcile trading fees with exchanges and clearing brokers
• Process invoices and manage any discrepancies directly with brokers/exchanges
• Ensure all current Middle Office operations processes and procedures are the most efficient and effective via continuous review
• Collaborate with our Back Office/Business Intelligence IT teams on specifications and improvements to Middle Office applications and tools
• Provide operational support to a wide range of trading desks
• Perform ad hoc portfolio analysis and project work as needed
• Arrange cash transfers to meet funding requirements
• Work with the Finance team on month end accounting

Your Skills and Experience: 

• Bachelor’s Degree in Finance, Economics and Accounting is preferred
• 5 years of working experience in a similar role at an Investment Bank, Pension/Hedge Fund, Asset Management
• Accounting/Finance experience is highly desirable
• Experience with derivative products is highly desirable
• Experience with Power and Energy commodities or FX is beneficial
• Strong Excel skills (VBA Macro experience preferred)
• Basic Python (coding) skills and SQL skills are preferred
• Experience with trade settlement with clearing firms, or processing invoices is desirable
• Motivated, proactive and with ability to adapt and embrace new technologies
• Strong problem-solving skills, and proven track record of improving processes
• Tenacious, dynamic and curious personality with strong interpersonal skills
• Excellent written and verbal communication skills in English

Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.

Working on our trading floor, you will work alongside traders, quant researchers and other developers to help us expand system connectivity to new markets, optimise order execution algorithms, improve our trading strategies and build new automated pricing systems and infrastructure to support the expansion of our options market making business. The work you do will have a direct, regular and highly visible impact on the firm's success.

The skills you will have:

• Excellent C++ (11/14/17/20/23)
• Template programming
• Ultra low latency design
• Performance tuning and analysis
• Good numerical skills
• The ability to solve new and unfamiliar problems quickly and creatively
• An efficient and diligent approach with a strong attention to detail
• Excellent written and verbal communication skills
• An Interest in trading and finance

Things we would like to see but are not essential:

• Knowledge of financial markets & securities (particularly futures and options)
• Experience in the other programming languages: Python, C# or JavaScript
• Experience with NoSQL and time-series databases
• Knowledge of multiple derivative exchange platforms
• Network communication protocols UDP and TCP
• Network acceleration using proprietary drivers and kernel bypass
• Understanding of and optimisation for modern Intel architecture

What you will be doing with us:

• Full lifecycle of software development for market making, working alongside traders and developers in other teams, such as FPGA, data analytics and UI developers
• Developing low latency exchange connectivity components for new markets

We pride ourselves on being able to rapidly deliver well-engineered software into production. You will be able to see the impact of your work immediately and will be in a unique position to have a direct impact on trading revenue. We make extensive use of automated testing and peer code review to ensure quality and maintainability while keeping time-to-market short.

WHAT WE CAN OFFER YOU

• Competitive compensation 
• Group Pension plan 
• Annual discretionary bonus
• 25 days’ annual leave
• Informal dress code 
• Private healthcare and life assurance
• Monthly company events

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need:

• Proven success with profitable trading strategies.
• Strong programming skills in C++/Python in a Linux environment.
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets and developing statistical models.
• Fascinated and interested in advancing machine learning within the trading community.
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
• Masters or PhD in Statistics, Physics, Mathematics (or related subject).
• Desire to work within a collaborative, team-driven environment.
• Reliable and predictable availability 

Benefits include:

• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Commuter Benefits

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need:

• Proven success with profitable trading strategies.
• Strong programming skills in C++/Python in a Linux environment.
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets and developing statistical models.
• Fascinated and interested in advancing machine learning within the trading community.
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
• Masters or PhD in Statistics, Physics, Mathematics (or related subject).
• Desire to work within a collaborative, team-driven environment.
• Reliable and predictable availability 

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Cycle Schemes

About the Role

Traders manage their unique strategies in rapidly evolving live markets. They tune model parameters to reflect prevailing conditions, execute trades based on model recommendations, evaluate the real-time feedback provided by market participants’ reactions, and reincorporate this information into their models in a continuous feedback loop. 

Five Rings gives people as much responsibility as quickly as it can be earned. From day one, as a new Quant Trader (QT), you will gain unrivaled experience both on the desk and in the classroom. 

•         New hires work closely with senior traders – analyzing risks and rewards, exploring new strategies, collaborating with quants and software developers to build and optimize trading models. 
•         Quant Traders work independently and with others to develop ideas and analyses, and integrate them into our trading strategies and systems. 

About You

•         Quantitatively-focused
•         Thrive in a highly collaborative and fast-paced environment
•         Quick learner
•         Intellectually curious 
•         Detail-oriented
•         Self-starter 

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
 
By working on a variety of projects with different collaborators over the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
 
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following qualities:

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

• Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
• Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
• Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
  • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
• Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
• Experience in setup of research framework and execution of projects
• Understanding of financial products, market dynamics, and microstructure
• Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language