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

• 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 to 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 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 

Financial Data Analyst team is responsible for producing high quality data for QRT quant and discretionary business. This team is specialized in extracting data from sources which are very complicated to automatize but proven to have lot of value to business.

In this role, you will lead the team and help expand and strengthen its capabilities. You will work closely with stakeholders across research, trading, and technology. The role combines hands-on execution with opportunities to guide projects, improve processes, and support team members.

You will play a key role in ensuring that high-quality, well-structured data is available to support informed decision-making across the organization.

Key Responsibilities: 

• Primary responsibility would be the team and project management spanning across multiple stake holders
• Propose and enforce best practices in the team in data extraction and presentation
• Support and mentor team members while contributing to a collaborative and inclusive team environment
• Develop and improve processes for extracting, validating, and organizing data from sources such as websites, PDFs, and other formats
• Build and enhance automation workflows using Python and Excel to improve efficiency and scalability
• Collaborate with cross-functional teams to understand data needs and deliver usable, high-quality datasets
• Maintain data quality by identifying and resolving inconsistencies or gaps
• Share relevant market updates and insights with stakeholders
• Stay informed about evolving tools, technologies, and data sources, including emerging applications of AI/LLMs

Your Present Skill Set: 

• Bachelor’s or master’s degree in finance, Computer Science, Data Science, or a related field
• 10+ years of experience in financial data research or a related domain
• Strong understanding of financial markets and data sources
• Experience in team management and project management
• Strong hands-on experience with Python for data extraction and processing
• Experience working with both structured and unstructured datasets (e.g., filings, earnings calls, alternative data)
• Strong analytical skills and attention to detail
• Comfortable working with stakeholders across different functions
• Effective communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
  

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 behavior and model performance over time within your strategies. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• 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. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• 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. 

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 to 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 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: 

• Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
• Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
• Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
• Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
• Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

• PhD in mathematics, statistics, machine learning, finance, computational finance.
• Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
• Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
• Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
• A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
• Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

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 to 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 behavior and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset: 

• Min 3 years of relevant experience with strong track record.
• 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 to achieve a healthy work-life balance. 

The Role: 

WorldQuant is seeking an exceptional individual to join as Quantitative Researcher (Deep Research).

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

As part of this role, you will:

• Build predictive signals using a structured and methodical research process combining fundamental knowledge, data exploration and quantitative analysis
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research
• Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

What You’ll Bring:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• At least 2 years of relevant financial research experience
• Creative problem solver with a passion for experimentation and tackling unsolved challenges
• Strong foundation in mathematics, statistics, and quantitative modeling
• Strong interest in financial markets
• Proficiency in Python and C++
• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs is a plus
• Excellent communications skills (both written and oral English)

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

WHAT YOU’LL BRING:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

The Role: We are looking for a dedicated and motivated Project Manager who will be responsible for shepherding global Research initiatives. The Project Manager will be a key member of the leadership team of the project, coordinating activities with various global managers and leaders. If you have excellent people skills, business acumen and exemplary work ethics, we’d like to meet you. The goal of the Project Manager role is to secure the functionality of the project to drive extensive and sustainable growth.

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

• Discuss/Justify/Convince/Coordinate activities with various senior and mid-level managers in various functions, in order to shepherd and expedite good ideas into decision/action/reality.
• Initiate discussions to help bring to light issues of the project, identify solutions, and lead and shepherd the implementation of those solutions.
• Collaborate with project leaders in setting and driving organizational vision, operational strategy, and hiring levels for the project.
• Develop actionable project strategies and plans that ensure alignment with short-term and long-term objectives developed in tandem with project leaders.
• Translate strategy into actionable steps for growth, implementing project goal setting, performance management, and operations planning of the project.
• Build and maintain positive relationships and drive collaboration with various colleagues to ensure successful execution and delivery of projects
• Perform regular assessment of project execution to identify areas for improvement
• To coordinate with internal resources across functions, ensuring project remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments
• Provide project updates on a consistent basis to various stakeholders about strategy, adjustments and progress
• Develop and maintain project plans documentation, report on project progress and risks to management

What You’ll Bring:

• Hold a Bachelor’s degree or advanced degree(s) from a leading university
• 5+ years of experience as a Project Manager or in similar role
• Experience as a team leader
• Excellent verbal and written communication skills
• Fluent in spoken and written English
• Self-starter: has shown an ability to set up initiatives and see them to the end without supervision.
• Proven ability to solve problems creatively
• Strong familiarity with project management methodologies and best practices
• Experience seeing projects through the full life cycle
• Excellent analytical skills
• Strong interpersonal skills and extremely resourceful
• Proven ability to complete projects according to outlined scope, budget and timeline
• Ability to diagnose problems quickly and foresee potential issues
• Ability to multitask, work independently and as an integral member of the team with minimal supervision
• Any of the following would be an added bonus:
  • Experience in business management
  • Experience in the quant or finance domains

What We Offer:

• Competitive financial compensation
• Friendly and collegial working environment
• Flexible working hours
• Competitive employee benefits
• A culture of continuous learning

About the Role

This is not a traditional engineering role. This is a seat at the table.

You will work directly with Prodigal's CTO across the full breadth of building a frontier AI company — technical roadmap, AI projects, customer conversations, GTM collaboration, hiring, and everything in between. Think of it as an accelerated apprenticeship for a future CTO or technical founder. You will be handed ambiguity, context, and trust — and expected to run with it. Over one year, you will touch more dimensions of company building than most engineers see in a decade.

We are looking for someone in explore mode — technically sharp, intellectually restless, and hungry to understand how great companies are built from the inside.

What You'll Own

AI Projects & Technical Execution

• Lead high-priority AI projects end-to-end — voice AI, LLM reasoning, evaluation frameworks, and agentic systems — from research to production
• Work hands-on with frontier models, prompt engineering, real-time voice pipelines, and PIE, Prodigal's Intelligence Engine powering millions of live consumer finance conversations
• Evaluate emerging AI capabilities and support pragmatic build-vs-integrate decisions alongside the CTO

Strategy, Customers & GTM

• Participate in roadmap discussions, competitive analysis, and translating customer insights into engineering direction
• Join customer conversations and escalations; collaborate with Sales, Marketing, and Customer Success on technical enablement and thought leadership that represents Prodigal at the cutting edge

Hiring, Culture & Operations

• Participate in recruiting — evaluating submissions, interviewing, building assessment frameworks — particularly for campus hiring from premier institutions
• Be a sounding board for architectural decisions, tradeoffs, and team dynamics; help identify gaps before they become problems

What You Bring

• Strong CS fundamentals with hands-on Python and/or TypeScript — you write clean, production-ready code
• 0 to 5 years of experience; in explore mode, not exploit mode — still building, still hungry, not optimizing a narrow lane
• Genuine curiosity about AI — you read papers, build side projects, and form opinions about where the technology is heading
• High bias for action, comfort with ambiguity, and clear communication across engineers, customers, and executives
• A builder's mentality — you've made things that required sustained effort to bring into existence

Even Better

• Hands-on experience with LLMs — prompt engineering, evaluation, fine-tuning, or building LLM-powered applications
• Exposure to voice AI, real-time systems, or agentic architectures
• Considering a Masters in CS or AI, or recently completed one

Why This Role

Compounding Learning at an Uncommon Pace

Most early-career engineers spend years getting depth in one domain. This role gives you breadth and depth simultaneously — AI, product, customers, hiring, company building — all in one year, directly alongside a technical co-founder.

Proximity to the Frontier

Voice AI that reasons, decides, and acts in real-time financial conversations is one of the hardest applied AI problems being worked on right now. You will be building it, not reading about it.

A Blueprint for What You Want to Become

Whether you want to be a CTO, a technical founder, or a world-class AI researcher — this role is designed to accelerate that path. Real ownership, real stakes, increasing responsibility as you demonstrate it.

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

IMC is a leading global market maker, using algorithmic trading and advanced technology to buy and sell securities on multiple trading venues worldwide. We provide liquidity to the financial markets, driving efficiencies for buyers and sellers. Founded in 1989, we are an ambitious, innovative company and identified early on the importance technology would play in the fast-paced evolution of trading. This entrepreneurial spirit still drives us today and can be found in all of our offices around the world.

Your Core Responsibilities: 

• Monitor Indian corporate/macro news, sentiment, material catalysts and translate into tradable actions
• Provide daily reports and commentary on themes relevant to our trading strategies
• Maintain constant expertise of Indian market structure, companies, economy and politics
• Collaborate with traders on strategies across market-making and position taking
• Assess impact of various corporate actions and upcoming events on pricing
• Communicate with other IMC Analysts across EU, US, Asia on trading research and strategies

Your Skills and Experience: 

• Bachelor’s or higher degree in Economics/Finance/Business OR STEM from a Top University. CFA would be a plus
• 3+ years of experience in Indian equities. Team handling experience is preferred
• Experience with Excel and Bloomberg is necessary
• Strong written, analytical, and financial research skills supported by natural curiosity
• Indian Macro/ Indian X-Asset exposure a plus
• Ability to multitask and perform under pressure in a fast paced, dynamic environment
• Skills to contribute and communicate in a team environment are essential
• Exposure to Python and Options knowledge including understanding of the Greeks is a plus

IMC is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our Options business. If you enjoy solving complex problems, working with large datasets, and building models that drive trading performance, this role could be a great fit.

You will focus on researching and developing statistically robust signals and models to better understand and predict options market behaviour. Your work will directly inform trading strategies and have a measurable impact on performance. You will also help shape the research direction by exploring new approaches and improving existing methodologies.

IMC has strong advantages across market access, technology, and execution, and you will work in a collaborative environment alongside traders and engineers to translate research into production.

Your Core Responsibilities

• Develop and test alpha signals and predictive models for Indian options markets 
• Perform large-scale data analysis to uncover patterns and trading opportunities
• Apply rigorous statistical methods to ensure robustness and reliability of results
• Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies
• Collaborate with traders and engineers to translate research into production strategies
• Continuously improve models and identify new areas of research

Your Skills and Experience

• 3+ years of experience in quantitative research in NSE/BSE, ideally within derivatives or options
• Strong foundation in probability, statistics, and quantitative modelling
• Proven track record of developing impactful trading signals or models
• Experience working with large datasets and time-series data
• Strong programming skills in at least one language (Python preferred)
• Curious, analytical mindset with a focus on problem-solving and innovation

At IMC we run volatility trading strategies which are separate from our usual low-latency, execution based market making strategies. We rely on macro research and historical signals to place opinionated, relative value trades on asset classes globally. IMC is successfully ramping up its volatility trading strategies. To accelerate growth we are looking to expand the team with experienced traders.

Your Core responsibilities:

• Maximize revenue by both finding, and then capitalising on short term mispricing, as well as managing larger positions
• Work closely with our best-in-class research and quant teams to analyse your results and improve your approach
• Take responsibility and ownership early to drive strategies forward and be successful
• You will be instrumental in assisting us with our strategic goal to build our options trading globally, with a focus on positional market making and relative value strategies

Your Skills and Experience:

• 4+ years of experience as a Trader at a prop trading firm / market maker managing your own book
• Prior experience of options position trading in Indian markets is good to have.
• Experience in computer programming is desirable (Python, C/C++, Java, Matlab, SQL).
• Entrepreneurial mindset, healthy risk appetite, competitive by nature and fast decision maker
• Excellent numerical and analytical skills.

IMC is looking for an experienced Quantitative Trader to run and grow our Options trading book. If you have a strong track record managing an options book, a sharp instinct for real-time decision-making, and a disciplined approach to risk, this role could be a great fit.

You will take ownership of trading decisions and performance of the Options book, using signals, models, and tools developed in collaboration with our research and engineering teams. You will be responsible for pricing, hedging, and managing risk in real time, operating in a fast-paced environment where trading outcomes are immediate and measurable.

At IMC, trading performance is highly visible and directly tied to impact. You will play a key role in driving P&L and shaping how we compete in options market making.

You will work in a collaborative environment alongside traders, researchers, and engineers, with open idea sharing across teams, desks, and global offices.

Your Core Responsibilities

• Own and manage the Options trading book, with direct responsibility for P&L and risk
• Make real-time trading decisions based on market conditions, volatility, and order flow
• Dynamically adjust pricing, hedging, and positioning to optimise performance
• Use signals, models, and trading tools to inform execution and decision-making
• Provide feedback to researchers and engineers to improve model performance and execution quality
• Identify trading opportunities and respond quickly to changing market conditions
• Mentor junior traders and contribute to the development of the desk

Your Skills and Experience

• 3+ years of experience managing an options book at a trading firm in NSE/BSE, market maker, or financial institution
• Proven track record of profitability and disciplined risk management
• Strong understanding of options theory, including Greeks, volatility, and pricing dynamics
• Ability to make fast, high-quality decisions under pressure
• Strong intuition for market behaviour, liquidity, and trading dynamics
• Quantitative mindset, with the ability to effectively use and interpret models and signals

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

Job description

This role does require travel to colocation facilities in the area. We are seeking a dedicated and experienced Data Center Engineer to join our Mumbai team. This role requires hands-on work with our physical servers, network infrastructure, and IT components across various colocation facilities. You'll be responsible for the physical setup, maintenance, and troubleshooting of server and network hardware, as well as ensuring smooth operations and efficient documentation practices. The ideal candidate is energized by working in a cutting-edge datacenter environment that enables IMC to continue to be at the forefront of the evolving global financial markets.

Your Core Responsibilities: 

• Oversee the lifecycle of physical servers, network devices, and other IT infrastructure components
• Perform installation, configuration, and upkeep of server and network components in our datacenters
• Plan and implement efficient rack layouts, cabling schemes, and patching schedules to optimize data center operations
• Diagnose hardware issues, coordinate with vendors for repairs or replacements (RMA process), and ensure timely resolution
• Handle incoming and outgoing shipments, maintain accurate hardware inventory, and manage stock levels of IT components
• Develop and maintain comprehensive documentation of physical infrastructure, cabling layouts, rack configurations, and associated processes
• Build and maintain strong working relationships with hardware vendors, colocation partners, and remote hands teams to ensure efficient operations
• Maintain office IT infrastructure, including hardware and network systems. The position requires a willingness to work outside regular business hours.

Your Skills and Experience: 

• 5+ years of hands-on experience in data center engineering
• Strong understanding and basic troubleshooting of server hardware, network devices, and datastorage systems
• Knowledge of network cabling, fiber optics, and optical transceivers
• Experience with fiber and optic testing 
• Basic knowledge of Linux operating systems and networking protocols
• CCNA certification is a plus
• Proven experience in racking, cabling, and working with data center facilities management tools (power, cooling, etc.)
• Familiarity with basic scripting in Bash and Python within a Linux environment is a plus
• Strong ability to manage time effectively, prioritize tasks in a fast-paced environment, and adapt to changing requirements
• A collaborative mindset, with the ability to work both independently and as part of a team, often with minimal supervision
• Ability to safely lift and move equipment weighing up to 60 pounds
• Willingness to work flexible hours, including evenings and weekends, as required
• A valid driver’s license is required for travel between facilities

We are seeking a dedicated and experienced Software Developer to join our Mumbai team. The ideal candidate is energised by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.

Core Responsibilities

• Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
• Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
• Collaborate with development teams on data modeling, data ingestion, and capacity planning
• Work with users to ensure data integrity and availability
• Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience

• 5+ years' experience working in a mature data engineering environment
• 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
• 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
• Experience with Apache Spark, Apache Flink or similar tools
• Strong Java, Python, and SQL development skills
• Experience with common data-science toolkits, especially python-based
• Hands-on experience with Kubernetes and Docker
• Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
• Strong statistical analysis skills
• Demonstrated ability to troubleshoot and conduct root-cause analysis
• Unix scripting experience (bash, python, etc.)

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

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

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

Responsibilities

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

As a Quant Trader

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

As a Quant Researcher:

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

As a Quant Developer:

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

Requirements

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

Benefits

• Base salary of 85 lakh INR, with total compensation (including performance-based bonuses) expected to be 500k + USD annually
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package
• Comprehensive health insurance coverage
• 20 vacation days each year
• Meals during work hours
• Social events and after-work drinks

Join our forward-thinking team as a Network Engineer, where you will play a key role in designing, implementing, and supporting high-performance, low-latency network infrastructure.
At IMC, the Trading Infrastructure team is responsible for the WAN, LANs, and all low-latency connectivity to trading venues. You will work closely with Systems Engineers, internal teams, and external partners to deliver best-in-class solutions that support our trading business and help evolve our infrastructure to meet the demands of a dynamic industry.

Your Core Responsibilities:

• Design, implement and support the networking infrastructure. Key areas include Low-latency networking, Unicast and Multicast routing, OSPF, BGP, PIM SM, as well as things like QoS, STP, NAT, protocol tuning, etc.
• Monitor, guard and analyze the proper functioning of our network infrastructure. Take adaptive, retentive and corrective measures and perform structural maintenance.
• Proactively improve our infrastructure by contributing scripts and code to our automation efforts (e.g. Bash, Python).
• Accurately create and maintain documentation detailing the implemented network components, as well as relevant procedures and other documentation.
• Responsibility for our IT security related platforms. Key areas include Palo Alto firewalls, VPNs, Security policies, etc.
• Work flexible hours. We are proud of the uptime of the trading environment, so every now and then you will be working outside of regular business hours to apply critical changes. This could be from your desk, your couch at home or also inside of one of our datacenters abroad.
• Liaise with external vendors, exchanges and providers to explore new technology solutions, implement new services or troubleshoot problems.

Your Skills and Experience:

• 5+ years of experience as a Network Engineer, with a passion for all aspects of networking
• Proven ability to design, implement, and support high-performance networks
• Strong appetite for accuracy and willingness to go beyond standard textbook networking concepts
• Collaborative mindset with experience working closely across cross-functional teams
• Ability to motivate and encourage peers while maintaining a high technical standard
• Excellent verbal and written communication skills, including the ability to explain technical topics to both technical and non-technical stakeholders

IMC’s Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You’ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you’ll see your work  move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning—where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success.

Your Core Responsibilities:

• Collaborate closely with traders to refine existing strategies and generate new ideas.
• Build, maintain, and enhance research frameworks  and data pipelines that enable trading and quantitative research.
• Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Drive end-to-end research cycles — from ideation through production deployment.

Your Skills and Experience:

• Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively.
• Foundational knowledge of quantitative trading concepts and equity/index options —  whether through coursework, projects, internships, or professional work.
• Exposure to web/API frameworks such as FastAPI and React is advantageous.
• Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial.

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

Your Core Responsibilities: 

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits.

Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

These are just some of the technologies our C++ software engineers are currently working with: C++ 20, Linux, Docker, Kubernetes, Apache Kafka, Apache Spark, Impala, Hadoop, Python and FPGAs.

Your Skills and Experience: 

• Strong academic background in Computer Science (B. Tech/B.E), with 4-8 years of work experience in C++

• Natural problem-solvers, who enjoy tackling fresh challenges each day

• Team players: to succeed, SWEs must be able to build strong relationships with those around them

• Excellent written and verbal communication skills; fluency in English

We’re seeking a Linux Engineer with deep systems expertise and Python/scripting experience to join our growing global team. You will be responsible for engineering and operating Linux at scale across our mission[1]critical environment, while also improving automation and self-service tools that enhance our ability to manage IMC’s servers.

The Linux Engineering team is responsible for the provisioning, configuration, performance, and reliability of a large-scale Linux infrastructure that supports a diverse set of workloads. These include ultra-low latency systems critical to high-frequency trading, as well as high-throughput environments that run research workflows and a wide variety of Kubernetes-based applications. This role requires strong Linux fundamentals applied at scale, with automation as a key enabler for consistency and efficiency across the fleet. Your initiative, collaborative attitude, problem-solving skills, and focus on continuous improvement will help ensure IMC stays competitive by bringing the latest technologies and practices into production.

Your Core Responsibilities: 

• Apply deep Linux engineering expertise to troubleshoot and resolve complex issues on enterprise systems, ensuring stability and performance
• Enhance configuration management code and processes that we use to manage over 10,000 bare-metal Linux systems globally
• Develop and maintain Python/Bash tools to support large-scale Linux systems management
• Improve provisioning workflows to seamlessly build bare servers into production-ready platforms
• Extend Linux-focused metrics, logging, monitoring, and alerting integrations for full fleet visibility
• Communicate updates and status clearly and frequently with peers and stakeholders through meetings, tracking tickets, code reviews, chats, and merge requests

Your Skills and Experience: 

• Hands-on Linux systems engineering, administration, and provisioning expertise applied at scale, preferably on bare-metal systems
• Configuration management at scale, preferably on bare-metal servers with Puppet and Hiera
• Python development for automation, APIs, design, testing, and debugging
• Ansible playbook authorship and complex task automation
• RPM design, build, publishing, and in-house repository management
• CI/CD pipelines, Git version control, branching and merging best practices
• Strong system and network troubleshooting with tools such as EBPF, tcpdump, strace, systemd, ntp/ptp, lsof, and nc
• Networking fundamentals: routing, DNS, TCP/UDP/multicast
• Experience building and publishing Docker images
• Working familiarity with Kubernetes
• Exposure to monitoring stacks such as Prometheus, Grafana, and AlertManager, with a focus on Linux telemetry and exporter development
• Bachelor’s degree in Computer Engineering or a related field, or equivalent professional experience