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.

We are looking for a developer with 3-12 years of experience in a quant trading environment to work directly with traders and quant researchers.

Your future role within QRT

• Key member to the success of high-frequency and low latency algo trading on APAC markets for Cash Equities and Futures markets
• Enrich and implement alpha and trading algorithms
• Implement specific market rules for the main Asian markets
• Collaborate with the traders and quant researchers on providing efficient research platform and tools

Your present skillset

• Computer Science degree or equivalent
• Strong C++ 20/23 development experience on a Linux environment
• Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions
• Familiar with HPC in Cloud environment, good level of Python
• Good communication skills in a dynamic and international environment

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. 

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 our 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

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

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. 

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 APAC Engineering teams work across a wide range of systems, including trading algorithm implementation, pricing, and the optimisation of our research processes and techniques. Engineers collaborate closely with Traders, Quant Researchers, and other engineering teams to build scalable, high-performance solutions that directly impact trading outcomes.

In Hong Kong, developers partner closely with Quant Research to design and enhance the tools and platforms that underpin our research environment. This includes building systems that enable large-scale computation on distributed clusters, supporting the exploration of new trading strategies, model training, and high-fidelity backtesting.

Your Core Responsibilities: 

• Design, build, and maintain high-performance Python applications that support quantitative research and trading
• Partner closely with Quant Researchers and Traders to translate research ideas into scalable, production-ready systems
• Develop and enhance research frameworks, simulation environments, and backtesting capabilities
• Optimise data pipelines and workflows to improve research velocity and model iteration speed
• Own systems end-to-end, from initial design through to deployment and continuous improvement
• Implement automation and tooling to increase efficiency and reliability across the research lifecycle
• Balance trade-offs across performance, scalability, and maintainability in a complex, high-performance environment
•  

Your Skills and Experience:

• 5+ years of professional software engineering experience, with strong Python expertise
• Strong foundations in data structures, algorithms, and software design
• Experience building scalable systems, ideally in data-intensive or distributed environments
• Proven ability to work closely with stakeholders to solve complex, ambiguous problems
• A proactive mindset with a strong sense of ownership

#LI-DNI

At IMC, technology is not a department it’s at the heart of everything we do. Our in-house built systems make millions of trading decisions every day, and our edge comes from making better, faster decisions than the competition.

Our engineers build software that sits directly in the latency-critical path of our trading systems. From exchange connectivity and market data handling to pricing, risk management, and order execution, our technology underpins every part of the trading lifecycle. In Hong Kong, you’ll work closely with Traders and Quant Researchers to develop high-performance systems that operate at scale in highly competitive global markets.

Your Core Responsibilities: 

As a C++ Engineer, you will design and build performance-critical components that power our trading systems, working in close partnership with Traders, Researchers, and other engineers.

• Design, build and optimise high-performance C++ trading systems that power pricing, risk management and order strategy across equities markets, ensuring robust and scalable performance in live trading environments.
• Work closely with Traders and Quant Researchers to translate trading ideas into efficient, production-ready systems
• Continuously improve system performance through profiling, optimisation, and thoughtful systems design
• Own the full development lifecycle, from design and implementation through to deployment and monitoring
• Navigate complex trade-offs between latency, throughput, scalability, and maintainability in a real-time environment

Your Skills and Experience: 

• Strong programming skills in C++. Experience in latest versions of C++ highly desirable
• Solid understanding of systems programming concepts, including concurrency, memory management, and performance optimisation
• Experience working in Linux environments
• Proven ability to build and optimise high-performance systems
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Comfortable working closely with stakeholders to deliver impactful solutions

#LI-DNI

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview: 
We are looking for an experienced software developer to join our DV Equities desk. In this role, you'll be responsible for development and daily operations of trading systems that provide services to traders.

Job Responsibilities:

• Lead in the design, implementation, and deployment of DV’s core trading platform in C++ 17
• Bring deep technical knowledge such as parallel programming, trading systems, networking, or performance analysis
• Work on cross-functional teams across trading, quant, and development to troubleshoot and solve complex problems
• Work directly with trading desks on new feature requests

Requirements:

• Experience building performant, scalable applications in C++
• Experience working on Linux
• Solid understanding of multi-threaded/multi-core programming paradigms
• Object-oriented design and programming experience
• Highly collaborative in nature, with excellent written and verbal communication skills
• Familiarity with options trading and trading systems is a plus
• Bachelor’s degree in Computer Science, Engineering or a related field from an accredited institution

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Role/Responsibilities:

The Cubist Business Management team manages all aspects of onboarding new systematic trading teams as well as deployment of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to:

• Complete project lifecycle management launching new PM Teams into production
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations. The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement.

Job Requirements:

• This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus.
• Must have strong interpersonal skills, excellent time management skills, and a team attitude.
• Working experience in Python and SQL.
• We support systematic trading of global equities, futures, and foreign exchange, bonds, rates, credit and options. Candidates with specific work experience and knowledge of market regulations in these areas will be strongly preferred but not required.
• Commitment to the highest ethical standards

Optiver continues to expand across APAC, increasing its regional footprint, expanding access channels across markets, and rolling out strategies across its major business lines.

For its growing D1 Cash business, Optiver is looking to fill a senior external-facing Business Development position in Hong Kong with responsibility to enable further growth in the region through challenging the status quo, gather unique insights and pursuing best-in-class commercial business outcomes.

You will take prime responsibility for Business Development for the D1 Cash business line, with scope for involvement with other business lines too.

Through your expertise and network, you will seek to add value to our business in close collaboration with internal and external business partners.  You will work directly with key business stakeholders including trading leaders in the D1 Cash business line, Corporate Strategy and the Institutional Sales team.

What you’ll do:

• You will be professionally representing the regional D1 Cash business in Hong Kong and beyond
• Inform and direct the business on impactful developments relating to our markets, operations, competition and brokerage partners - for better decision making
• Lead and develop business cases, partnerships and pursuing business opportunities to enable growth, in close collaboration with the business
• Challenge the status quo in Optiver’s business model, including but not limited to corporate structure, market access, prime brokerage relationships and services, identifying sources of alpha, insights and improved commercial outcomes

Who you are:

• 8+ years of experience in Business Development, Strategy or Trading roles in the equity-linked Delta 1 space
• Preference for candidates with relevant experience on the buy side (proprietary trading firms, quant and hedge funds) or sell side (including but not limited to Financing, Sales Trading)
• Proven experience creating value through pursuing business opportunities, partnerships and/or commercial outcomes.
• Proven experience building and maintaining senior industry relationships both internally and externally,
• Self-motivated, results driven and commercially minded challenging the status quo
• Critical, detail oriented, strategic thinker, entrepreneurial spirit
• Excellent technical communication and interpersonal skills
• Fluency in English is a must; Mandarin proficiency ideal but not required

What you'll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
• The chance to work alongside diverse and intelligent peers in a rewarding environment.
• Leadership and growth opportunities.
• Meal allowances.
• Gym membership, plus weekly in-house chair massages.
• Corporate health insurance.
• Regular social events, including a company trip every two years.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

• Research time-series methods, advanced statistical techniques, and machine learning models to extract predictive value from complex datasets.
• Analyze large, noisy, real-world data sets to identify systematic trading opportunities.
• Help develop statistical and ML-based tools and techniques to solve complex data-related problems throughout the research process.

• Your primary focus throughout the day will be on researching new statistical techniques, exploring datasets, and prototyping signal variants.
• Apply critical thinking at every step—rigorously backtesting ideas, diagnosing overfitting, and questioning your own assumptions.
• Discuss and present research results with your immediate team, portfolio managers, and senior management, actively incorporating their feedback.
• Document your work cleanly and clearly so colleagues can easily build upon your findings.

• Quantitative Background: Pursuing a Bachelor's, Master's, or PhD in computer science, statistics, machine learning, signal processing, optimization, mathematics, physics, or a related STEM subject.
• Research Excellence: Demonstrated ability to conduct high-quality, in-depth, and rigorous research on real-world data, along with the ability to communicate complex results clearly to both technical peers and senior stakeholders.
• Programming Proficiency: Strong proficiency in Python, with a solid understanding of data structures, algorithmic complexity, and numerical libraries (e.g., pandas, numpy).
• Statistical & ML Knowledge: Strong grasp of probability, statistics, linear algebra, time-series analysis, and machine learning, including the practical ability to recognize and mitigate overfitting.
• Team Player: Strong communication skills with the ability to work well in a collaborative, high-pace setting, driving projects to completion across accelerated timelines and coordinating with colleagues across multiple regions.

• Prior internship in quantitative research or systematic investing.
• Hands-on experience working with noisy, large-scale financial or alternative datasets.

How to Apply
Apply online with your CV and a short cover note. In your cover note, describe one real research or engineering problem you worked on: what you tried, what worked, what didn't, and what you would do differently.

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

#LI-SB1

About the Position

Our goals are to give you a real sense of what it’s like to work as a Quantitative Researcher at Jane Street, and a truly unparalleled educational experience. You’ll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies.

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

You’ll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. Research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

Please note: Jane Street will provide flights to and from Hong Kong as well as accommodation throughout the entirety of the program.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

Our goals are to give you a real sense of what it’s like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You’ll work side by side with experienced ML Researchers on projects that we’ve selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. 

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques.

You’ll spend the bulk of your internship working closely on projects with experienced ML Researchers at Jane Street. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we’re still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• A PhD student or postdoc working on empirical ML research problems, or someone with equivalent research experience 
• Interested in applying logical and mathematical thinking to all kinds of problems
• Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
• Fluent with a versatile set of models and tricks 
• Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
• Eager to ask questions, admit mistakes, and learn new things
• Fluent in English

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

About the Position

We’re looking for smart and curious individuals to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English

If you’d like to learn more, you can read about our interview process and meet some of the team.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes and learn new things
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. PhD or other research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the position

We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About you

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The Role

We are seeking a highly motivated individual with strong data or computer science skills to support and enhance our quantitative trading operations. The role combines real-time trading oversight, process automation, and cross-team collaboration, with room to grow into supervisory responsibilities in a regulated environment.

Key Responsibilities 

• Oversee quantitative trading activity during market hours, monitoring strategy performance, execution quality, and key risk or control thresholds.
• Maintain and enhance monitoring tools, dashboards, alerts, and operational runbooks to support safe, scalable trading operations.
• Coordinate and lead incident response, trade and position reconciliations, and issue resolution with internal teams and external counterparties.
• Support portfolio operations (including rebalancing and inventory or constraint management) using data-driven and automated workflows.
• Develop a strong understanding of market structure, broker services, and trading platforms, and collaborate with portfolio managers, engineers, and other stakeholders to turn recurring operational issues into durable process and system improvements.

Required Skills & Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related quantitative field.
• 3+ years of relevant experience in the financial industry.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Proficiency in Python and familiarity with Linux-based environments.
• High attention to detail, strong communication skills, and the ability to operate in a fast-paced environment.
• Interest in taking on increasing levels of oversight and supervisory responsibility in a regulated trading environment. 

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The Role 

The Quantitative Researcher will work directly with the portfolio manager, other quant researchers, and developers in a highly collaborative environment gaining exposure to all aspects of the investment process, including signal generation, portfolio construction and trade execution. You will leverage our top-notch research and trading infrastructure to develop and deploy models around alphas, execution, and risk management. The ideal candidate will be intellectually curious, love data and have a mindset of continuous improvement.

What you’ll do 

As a quantitative researcher, you will:

• Focus on research related to systematic macro trading strategies, mainly on rates/fixed-income assets.
• Contribute to building, maintenance, and continual improvement of production, trading, and execution.
• Evaluate new datasets for alpha potential, build analytics tools, improve existing signals and trading strategies.
• Collaborate with the portfolio manager directly, be a core contributor to the growing investment process.

What you’ll bring

What you need:

• 3-7 years experience in systematic trading in rates/fixed-income derivatives, bonds or futures from top tier funds or banks.
• Demonstrate ability to conduct independent alpha research, portfolio construction, curve building and asset pricing.
• Masters or PhD degree in mathematics, computer science, economics or other related discipline.
• Experience with managing and running risk is a plus.

Our culture

The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people, so putting our talent above all else is our top priority.

Schonfeld strives to create an environment where our people can thrive. We foster a teamwork-oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. In our agile environment, engineers are expected to self-organize and collaborate on the best way to solve problems, and they are collectively responsible for the entire team's delivery. Engineering teams are small and cross-functional, and value learning and knowledge sharing.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses.

Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products.

The Role

We are looking for a hands-on STRAT / forward-deployed engineer to embed with our multi strategy business. The candidate will sit on the trading floor, shipping full-stack tools that power research, risk, and execution across strategies such as index rebalance, delta-1 and
long/short equities. The role will be based in our Hong Kong office.

What you’ll do

• Automate PM/analyst processes— alpha signals, portfolio construction, real-time risk, P&L, scenario and stress analytics.
• Help build out our proprietary research, portfolio construction and risk management platform.
• Build end-to-end products: data ingestion, micro-service back-ends, and lightweight front-ends for visualization and workflow.
• Own SDLC: requirements gathering, architecture, coding, testing, deployment, and ongoing support in a fast-moving trading environment.
• Balance long-horizon platform projects with fast tactical asks; break down roadblocks and deliver incremental value quickly.
• Use our proprietary AI setup to create differentiated analytics; help extend the AI platform.
• Maintain strong stakeholder communications across technology, trading, quant research and risk.
• The minimum internship period is 6 months, and the role may be converted to a full-time position based on strong performance.

What you’ll bring

What you’ll need:

• 2–3 years buy- or sell-side experience as a STRAT, quant dev, or forward-deployed engineer.
• Solid grasp of trade-lifecycle and investment management workflows; exposure to equities preferred.
• Proven coding expertise; comfortable across the stack (data wrangling, REST/GraphQL APIs, Python, simple JS/React or Dash front-ends).
• STEM Master degree or Ph.D. with strong quantitative/problem-solving skills; ML/AI experience a plus.
• Self-starter who thrives in a high-tempo setting, communicates clearly and manages stakeholders effectively.
• Willing to be based in Hong Kong (relocation support provided if needed). 

Our Culture 

The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people,
so putting our talent above all else is our top priority. Schonfeld strives to create an environment where our people can thrive. We foster a teamwork oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across quantitative, fundamental equity and tactical trading strategies. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses. Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the equity markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products.

#LI-LC1

The Role

Exciting career opportunities are on the horizon! Schonfeld will open a wide range of roles across many offices and many departments this August for the Class of 2027. Whether your passion lies in investing, technology, data, operations, or corporate functions, you’ll find dynamic positions that let you make an immediate impact and grow alongside our world-class team. Keep an eye on our careers page and be ready to apply when postings go live—you won’t want to miss the chance to build your future with us.

Our Internship

Kick-start your career in finance with the Schonfeld Internship! Over the course of 12-16 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The annual base pay for these role is expected to be between $45,000 and $150,00 which will be prorated based on internship role,  start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

Who You Are:

We are looking for a trader to join our team in the Hong Kong office. The ideal candidate will work alongside the global team in managing firmwide risk and have a strong background and interest in crypto markets.

What You’ll Do:

• Work on the OTC Derivatives Desk, pricing and executing complex structured crypto products
• Own end-to-end trade lifecycle: pricing, execution, hedging, and ongoing risk management of OTC flows
• Monitor and manage Greeks and volatility exposures across a live book, coordinating risk coverage with the global team
• Build and maintain pricing tools and models, ensuring consistency with market-observable volatility surfaces
• Conduct daily risk reporting and P&L attribution
• Partner with the Head of Franchise Trading and the Quant-Dev organization to expand the model library and broaden the firm's exotic product shelf
• Collaborate with the structuring and sales teams to design and deliver tailored solutions for institutional clients
• Stay current on crypto markets, macro developments, and evolving narratives across digital assets

What We’re Looking For:

• 5+ years of experience on an exotic derivatives desk at a bank, hedge fund, or crypto-native trading firm
• Deep expertise quoting and risk-managing exotic options: European barriers, accumulators/decumulators, and autocallables
• Strong hands-on familiarity with mixed volatility models (e.g., local-stochastic vol, Heston, SABR) and their practical application to pricing and hedging
• Background in FX or equity exotic derivatives, with the ability to apply that experience to crypto underlyings
• Advanced degree (Master's or PhD) in Mathematics, Physics, Financial Engineering, or a related quantitative field
• Institutional-grade execution experience and a rigorous, process-driven approach to risk
• Business English required; native Mandarin or Cantonese is a plus

Bonus Points: 

• Structuring experience — ability to work directly with clients to design bespoke payoff structures
• Experience with crypto options markets or digital asset derivatives
• Prior OTC trading or crypto market-making background
• Interest in, or active participation in, the crypto ecosystem

What We Offer:

• Competitive base salary and discretionary bonus
• Competitive paid time off
• Company-paid health and protective benefits for employees and their eligible dependents
• Free virtual coaching sessions through Headspace
• Free daily snacks in-office
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues

*Benefits may vary depending on location.

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications:

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
• Practical experience with imitation learning and behavior cloning techniques.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

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

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

We provide flexible arrangements to our remote contract talents with:

• Work from home to help you find the perfect balance between work, family and personal life
• Paid holidays and leave so you won’t miss out any important events
• Team building & offsite events to bring our global team closer
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

#LI-CH1

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

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 incentivizing 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.

We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. This team will leverage new and differentiated approaches to research and will be comprised with top talent across the fields of Quantitative Research, ML/LLM & Engineering.

What You'll Do: 

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in global 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.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems

• Proven experience developing successful quantitative trading strategies is highly preferred, though not required

• Demonstrable experience leveraging forecasting and machine learning techniques, such as linear regression analysis, neural networks or other state-of-the-arts models

• Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics (or related subject)

• Strong programming skills in C++/python in a Linux environment 

• Desire to work within a collaborative, team-driven, fast-paced environment

IMC is hiring a Quantitative Trader to focus on monetization research and back testing for high- to mid-frequency delta-one equity strategies. This role emphasizes research depth, systematic evaluation, and capital efficiency, partnering closely with quant researchers and engineers to turn signals into scalable, profitable trading strategies.

Based in Sydney, this role is ideal for candidates who excel at research-driven trading problems, large-scale data analysis, and rigorous performance validation. For exceptional candidates from top global trading firms, Hong Kong location may be considered.

Core Responsibilities

• Research and evaluate new trading signals and strategy ideas with a focus on monetization potential
• Design and run large-scale back tests to assess PnL, risk, capacity, and robustness
• Analyse transaction costs, market impact, and execution assumptions within back testing frameworks
• Optimize portfolio construction, capital allocation, and risk controls across strategies
• Work with engineers to improve back testing infrastructure, data quality, and research tooling
• Partner with live traders to ensure research assumptions align with real-world execution behaviour
• Drive strategies from research validation through production readiness

Skills & Experience

• Degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, or similar)
• 3+ years of experience in quantitative trading or monetization research, preferably in equities
• Strong experience with back testing frameworks, large datasets, and systematic performance evaluation
• Deep understanding of market microstructure, transaction costs, and scalability constraints
• Strong programming skills (Python/C++ strongly preferred); ability to write clean, research-grade code
• Rigorous, detail-oriented mindset with strong statistical intuition
• Experience at leading systematic or proprietary trading firms is a strong plus

IMC is seeking an experienced Quantitative Trader to focus on live trading operations and performance analysis for high to mid-frequency, delta-one equity strategies in APAC markets. Based in Hong Kong, this role sits close to production trading and is responsible for maximizing PnL through real-time monitoring, execution optimization, and rapid feedback loops between trading, research, and engineering.

This is a hands-on trading role with strong ownership of day-to-day strategy behaviour in live markets, requiring sound judgment under pressure and deep understanding of market microstructure.

Core Responsibilities

• Operate and oversee live high- to mid-frequency equity trading strategies across APAC markets
• Monitor intraday performance, risk, and execution quality; identify and act on anomalies in real time
• Analyse fills, slippage, adverse selection, and market impact to continuously improve execution outcomes
• Work closely with quant researchers to translate research ideas into robust, production-ready trading behaviour
• Partner with engineers to diagnose production issues, improve system stability, and enhance trading infrastructure
• Contribute to post-trade analysis, performance attribution, and feedback into strategy iteration
• Ensure strategies operate within defined risk limits and respond appropriately to changing market conditions

Skills & Experience

• Degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, or similar)
• 3+ years of experience in systematic equity trading, with direct exposure to live trading environments
• Strong understanding of market microstructure, order books, and execution dynamics in APAC markets
• Proven experience analysing execution quality, market impact, and intraday performance drivers
• Strong programming and data analysis skills (Python/C++ strongly preferred)
• Ability to make sound decisions under pressure and manage multiple live priorities simultaneously
• Excellent communication skills and a collaborative, team-oriented mindset

Who We Are

#LI-ONSITE

Who We Are

#LI-ONSITE

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

ABOUT CUBIST 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required.

RESPONSIBILITIES

• Provide research assistance to full-time researchers
• Assist with data collection and preliminary analysis
• Follow, digest, analyze and improve upon the latest academic research

DESIRABLE CANDIDATES

• Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline.
• Programming in any of the following: R, Python, or C++.
• Experience with SQL.
• Solid research experience in the field of the candidate’s specialty.
• Strong analytical and quantitative skills.
• Detail-oriented.
• Demonstrated ability to learn and apply new methodologies to real life problems.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Prior experience in the financial services industry is not required. 

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Role:

Point72 is looking for a Fund Flow Strategist to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. 

Responsibilities:

• Create content targeted at discretionary portfolio managers.
• Refine and advance current product offerings.
• Assist in daily workflow contributing to internal communications and data production.
• Contribute to research efforts formalizing and building new models.
• Work with PMs and analysts to answer questions and identify needs and additional features.

Requirements:

• Undergraduate degree or higher in a technical field.
• Passion for research, markets, and problem solving.
• Strong written and verbal communication skills.
• Strategy, data science, or quant research experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment.
• Commitment to the highest ethical standards.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

ABOUT CUBIST 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance.

RESPONSIBILITIES

• Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas.
• Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization.
• Maintaining and improving portfolio trading in production environments.

REQUIREMENTS

• Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline.
• 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus.
• Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning.
• Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas.
• Ability to work both independently and collaboratively within a team.
• Commitment to the highest ethical standards.

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

• Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
• Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Strong analytical and quantitative skills
• Demonstrated interest in financial markets and systematic trading
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

JOB RESPONSIBILITIES:

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.

Key responsibilities may include:

• Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
• Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
• Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:

• Master’s or PhD in machine learning, computer science, statistics, or related fields.
• Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
• Prior research experience utilizing machine learning over large, possibly noisy, data sets.
• Strong analytical and quantitative skills, and a detail-oriented mindset.
• Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
• Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
• Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
• Commitment to the highest ethical standards.

ABOUT CUBIST 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Our research center in Hong Kong is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code
• Evaluate new datasets for alpha potential
• Follow, digest, analyze and improve upon the latest academic research 

DESIRABLE CANDIDATES

• 2+ years of research experience in Equities.
• Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline.
• Programming in any of the following: R, Python, or C++.
• Experience with SQL.
• Demonstrated ability to learn and apply new methodologies to alpha generation.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Willingness to take ownership of his/her work.

Flow Traders is looking for a Quantitative Researcher to join our growing trading team in Hong Kong. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry.

A successful candidate is curious and seeks to provide their quantitative expertise to our trading desks. The ideal candidate must be an expert in mathematics and statistics, have an affinity for numbers and have strong programming experience. You should have an innate desire to generate and backtest new trading ideas, with generation of alpha and automated strategies as ultimate output goals. If you have the passion to solve and code mathematical problems, while having a direct impact on the business, then this opportunity is for you.

What you will do

• Create new trading strategies by identifying opportunities in the market through extensive research and analysis
• Collaborate with Traders and Quantitative Researchers to build, test and optimize current trading models
• Research and analyze large financial datasets to find exploitable patterns
• Design and implement complex quantitative models

What you need to succeed

• Minimum 3 years of work experience within the industry with prior experience working on mid to high frequency trading strategies
• Bachelor’s degree or higher in Econometrics, Mathematics, Physics, Statistics, Computer Science or other relevant STEM fields
• Python programming knowledge is a must, experience with other scientific programming language (e.g. MATLAB, C++, JAVA, R or similar) is beneficial 
• Strong analytical skills to easily manipulate large datasets
• Ability to reason logically, deliver under pressure and take ownership
• Competitive attitude, eager to learn, proactive and able to work in a team
• Excellent communication skills to be able to communicate complex problems in an efficient manner

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

Flow Traders is looking for an experienced Quant Trader to join our Equity Delta One desk in Hong Kong. You'll design and execute mid-frequency (minutes to hours) and relative value strategies across exchange-traded equity products in Asia, directly impacting desk P&L. This is a market-facing role with opportunities to expand into cross-asset strategies and collaborate with technology teams on cutting-edge trading infrastructure.

What You Will Do 

• Trade and manage positions in single stocks, single-stock futures, index futures, and ETFs.
• Develop, deploy, and refine systematic trading strategies, with a focus on mid-frequency horizons.
• Conduct quantitative research, probability and statistical analysis to identify opportunities.
• Translate trading intuition into structured, production-ready strategy deployment plans.
• Optimize execution algorithms and partner with technology teams to optimize trading and research infrastructure
• Perform post-trade analytics to improve models and execution quality.

What You Need to Succeed

• Bachelor's/Master's in Finance, Mathematics, Engineering, Computer Science, Physics, or related.
• Experienced in systematic trading strategies, with slight preference for mid-frequency strategies (holding times from minutes to hours).
• Strong knowledge of probability and statistics.
• Experience in deployment and productionization of trading strategies.
• Ability to translate trading intuition into structured strategy deployment plans.
• Strong programming skills in Python or C++ (NumPy, pandas, statistical packages).
• Strong work ethic and ability to perform under pressure.
• Analytical, detail-oriented, and comfortable in fast-paced, systematic environments.

Nice-to-Have Skills:

• Experience with market microstructure, transaction cost analysis, and execution optimization.
• Familiarity with portfolio construction and risk models.

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

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.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to 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.

*Candidates for this off cycle internship should be graduating in 2026 or 2027 and be interested in working in Hong Kong for their full-time job after graduation. 

Who Should Apply? 

• We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
• No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
• Machine Learning (ML) and Large Language Model expertise (LLM) is highly desired.
• Reliable and predictable availability required.
• Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math, ML, and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.