The Role

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. As a Quantitative Researcher, you’ll operate near the tip of the spear in a collaborative, dynamic environment. This includes close partnership with other researchers, traders, and engineers on quantitative problem-solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of one of our Quant teams at CTC! 

We prioritize team matching at the outset of our hiring process, thoughtfully considering which of our two teams (Vol Overlay or Delta Force) offers the best fit for each candidate’s strengths and interests while also aligning to the firm’s highest priority needs. 

What We’re Looking For   

We are seeking a Quantitative Researcher who can seamlessly blend academic rigor with practical application in our fast-paced trading environment. This individual will partner with our Trading and Technology teams to strengthen, scale, and evolve the firm's trading capabilities. The ideal candidate will possess a unique combination of analytical prowess, programming skills, and eye for business, driving innovation and results in quantitative finance. 

Responsibilities 

• Analyze market data to come up with economic and microstructure hypotheses 
• Build predictive and explanatory models to describe financial markets 
• Add revenue by applying thorough research processes to real life business problems 
• Contribute to ongoing improvement of research and trading infrastructure 

Qualifications 

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) 
• Proven ability to conduct independent, high-quality research 
• Exceptional ability to communicate complex ideas and research results, both in writing and verbally 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes. 
• Demonstrated expertise in applying quantitative modeling techniques to large, complex datasets 
• Strong track record of publications in an industry setting 
• Advanced Python programming skills 

Nice to Have 

• Proficiency in C++ 
• Experience in financial markets 
• Experience using NumPy and Pandas libraries 
• Experience with the software development lifecycle 

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

This opportunity is also available in our New York City and Austin offices.

What you’ll do:

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get:

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

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2026 and available to start full-time employment upon graduation
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Experience in machine learning, with practical applications in time-series analysis and pattern recognition
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Who we are: 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

Optiver is growing our Systematic Volatility Trading team and looking for an exceptional Quantitative Researcher to join us in the early stages. This is a rare opportunity to help define the direction of a fully automated options trading strategy, leveraging cutting-edge research to drive performance and profitability.

What you’ll do:

• Develop and refine alpha-driven strategies for fully automated options trading
• Research and implement novel signals, models, and execution techniques to optimize trading performance
• Play a key role in shaping the future of the team

What you’ll get:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 4-5+ years of quantitative research experience, focused on alpha generation in equity or index options
• BS, MS, and/or PhD in a quantitative or technical field
• Strong individual contributor who thrives in a fast-paced, high-ownership environment.
• Strong programming and data analysis skills (Python, C++, or similar)
• Ability to think differently, challenge assumptions, and identify unique trading opportunities
• Excited to be an early-stage team member, helping to build and scale a world-class systematic vol trading effort

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is expanding its Systematic Options Trading Team and seeking exceptional Quantitative Researchers and Traders to drive its next phase of growth. You’ll join a team at the forefront of designing and optimizing our automated systems that work autonomously or alongside our operational options traders. With significant resources, cutting-edge infrastructure, and a collaborative environment, you'll help shape the direction of our trading systems and execution models.

What you’ll do

• Design, develop, and refine systematic trading strategies to optimize market reactions, order placement, and execution in order to maximize trading performance
• Utilize modelling, machine learning, and other techniques to gather insights from data in this pursuit

What you’ll get

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

• 3+ years of index options experience focused on systematic trading
• BS, MS, or PhD in a quantitative or technical field
• Strong analytical and mathematical skills, with a track record of applying them to trading problems
• Proficient in programming (Python, C++, or similar)
• Collaborative team player with experience working across departments and partnering closely with development
• A self-starter who identifies opportunities to make an impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver Chicago is seeking a seasoned Data Architect to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

The Role

We are seeking a talented and experienced software engineer to join our specialized TAPE team within the Post Trade Technology group. Our team owns and operates the firm's critical trade and positions system, delivering real-time risk awareness and seamless integration across every trading desk in the organization.  As a key contributor to TAPE - our next-generation based platform engineered for enhanced scalability, volume capacity, and support for sophisticated trading strategies - you will drive the modernization of our core infrastructure. This role presents an exciting opportunity to tackle complex technical challenges in distributed architecture, high-throughput processing, and low latency systems while collaborating closely with both your immediate TAPE team members and the broader Post Trade Technology organization. You'll be instrumental in shaping the future of our trade processing capabilities, working at the intersection of cutting-edge technology and critical financial operations that power our firm's trading activities

What you'll do

• Architect, develop and maintain resilient Java services to power TAPE's critical post-trade processing workflows, including trade capture, position aggregation
• Engineer highly scalable distributed systems capable of processing millions of daily trades across multiple asset classes, optimizing for low latency in position updates while maintaining data consistency.
• Work closely with other engineers and stakeholders within the Post Trade Technology team to ensure seamless integration and alignment with broader post-trade processing initiatives and systems.
• Collaborate with cross-functional teams—including traders, quant developers, and other technical groups—to design, build, and enhance client APIs in Java, C++, and Python.
• Contribute to building and refining user interfaces using Angular, ensuring seamless integration with underlying APIs.
• Leverage distributed caching solutions (e.g., Hazelcast, Oracle Coherence, or Redis) and container orchestration with Kubernetes to optimize system performance and reliability.
• Drive technical innovation by evaluating and integrating emerging technologies, architectural patterns, and industry best practices to enhance system resilience, processing throughput, and operational efficiency.
• Proactively monitor system health, diagnose performance bottlenecks, resolve production incidents, and maintain detailed technical documentation to support 24/7 operations and regulatory compliance requirements

What we are looking for

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Proven experience in developing Java-based applications and services, preferably in a high-volume, low-latency environment.
• Proficiency in building and integrating APIs using Java, C++, and Python.
• Solid understanding of distributed systems and caching solutions (e.g., Hazelcast, Oracle Coherence, Redis).
• Exposure to trading systems and capital markets with an understanding of how real-time risk management and trade processing systems operate.
• Excellent problem-solving skills and a proactive approach to tackling complex technical challenges within a collaborative team environment.

Nice to have

• Experience with post-trade processing systems including trade capture, position management, settlement workflows, and real-time risk calculations in capital markets environments.
• Understanding of trade lifecycle events, reconciliation processes, and the integration points between front-office trading systems and back-office settlement operations.
• Experience working on critical trading systems or financial applications.
• Additional certifications or training in cloud architecture, containerization, or financial markets technology.
• Experience deploying and managing applications using Kubernetes.

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are seeking a Quantitative Researcher to partner with Trading and Technology to strengthen, scale, and evolve the firm's trading capabilities within one of the quant research teams. As a Quantitative Researcher, you will be embedded on a research desk, working close to the tip of the spear in a dynamic environment. This includes partnership with other researchers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC! 

What You’ll Do

• Analyze market data to come up with economic and microstructure hypotheses 
• Build predictive and explanatory models to describe financial markets 
• Add revenue by applying thorough research processes to real life business problems 
• Conduct independent, high quality research in quantitative finance 
• Communicate complex ideas and research results effectively, both in writing and verbally 
• Drive innovation and results through analytical prowess and business acumen 

What We’re Looking For

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Applied Mathematics, Operations Research, Electrical Engineering) strongly preferred 
• Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team 
• Demonstrable track record of generating positive PnL 
• Advanced programming skills and experience with the software development lifecycle 
• Proven ability to blend academic rigor with practical application in fast-paced trading environments 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes 
• Python skills including Numpy and Pandas libraries 

Nice to Haves

• Experience with a wide variety of market and alternative data  
• Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques  
• Strong track record of publications in an industry setting 

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Mission

The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals.

This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. 

The Impact You Will Have

• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry  assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations 
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.

What We Look For

• Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator
• Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).
• Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers
• Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)

We are seeking a Senior AI / ML Engineer to help define and build how CTC leverages AI across the firm. You will work closely with executive stakeholders to identify where AI creates real leverage for our engineers, quants, and traders, and then build it. The AI landscape is moving fast and the strategy needs to evolve with it — this role carries both the technical and strategic responsibility of figuring out what bets to make and executing on them. This role sits within our Developer Experience organization.

WHAT YOU'LL DO

• Partner with leadership to shape CTC's AI strategy as the space evolves.

• Evaluate emerging AI technologies and make informed recommendations on what to adopt, what to watch, and what to skip.

• Build and ship AI capabilities that drive real adoption across engineering, quant, and trading teams.

• Work across the firm to understand workflows, identify high-value use cases, and build tools that fit how people actually work.

• Establish sensible practices for deployment, security, and governance as the function matures.

WHAT WE'RE LOOKING FOR

• 7+ years of engineering experience with a strong track record of building and shipping developer tools, platforms, or internal tooling that achieved broad adoption.

• Demonstrated applied experience with LLMs and generative AI; deep curiosity and strong opinions about where this space is heading.

• Python proficiency required; C++ or low-latency systems experience is a strong plus.

• Background working in demanding technical environments - proprietary trading, hedge funds, or similar settings where reliability and developer productivity directly impact the business.

• Good judgment about where AI adds value and where it doesn't, in a space that moves quickly.

• Comfort with ambiguity and working closely with senior leadership.

• Strong communication skills across technical and non-technical audiences.

• Financial sector experience strongly preferred.

• Advanced degree in Computer Science, Machine Learning, Statistics, Engineering, or related field is a plus.

Our Options Market Making Execution team is looking for a Senior Engineer to build high-performance, elegant solutions to keep CTC's options trading infrastructure fast, efficient, and competitive. You'll partner with Engineers, Traders, and Quant Researchers to develop and fine-tune execution engines and trading strategies with the goal of reducing latency, maximizing performance and improving P&L. By simplifying system management and constantly improving our options trading engines, you'll ensure our trading infrastructure remains scalable, responsive, and cutting-edge.

WHAT YOU’LL DO

• Design and build high-performance, low-latency trading systems that power our Options Market Making business
• Work closely with traders, quants and technologists to drive ideas from inception to production in a timely and robust manner.
• Partner with other teams such as operations, option pricing, exchange connectivity to ensure your solutions seamlessly integrate into our firmwide trading infrastructure.
• Ensure operational safety and uphold the highest standards of software engineering by thoroughly testing code, following a coherent and maintainable design and architecture, and adhering to best practices—prioritizing carefully planned, well-structured solutions over ad hoc implementations.

WHAT WE’RE LOOKING FOR

• A minimum of 5 years of experience working in a production environment using modern C++
• Deep knowledge of low level systems programming, optimization, and hardware/software co-design
• Strong fundamentals in computer architecture and networking protocols
• Experience writing multithreaded and distributed systems with an affinity for delivering clean, performant code
• Ability to quickly triage issues and drive the resolution effort through completion
• Experience working at a high frequency trading firm is preferred

Are you excited by the idea of applying your hardware development expertise to power ultra-low-latency trading systems? Do you want to explore new architectures that push the limits of performance and help take some of our most sophisticated trading strategies to the next level? If so, we encourage you to read on! 

At CTC, we’re looking for a Senior FPGA Engineer to join our FPGA development team to do just that and more. As a member, you'll work closely with other specialists, traders, and quants to design and build the next generation of end-to-end trading systems. While helping craft our development environment and processes, you’ll architect solutions, influence design choices across teams, and see your work translate into real-time impact. 

Responsibilities

• Partner with a skilled team to define and implement a pragmatic architectural vision with a focus on ultra-low-latency and reliability. 
• Collaborate with senior technology leaders to continuously improve our trading platform design. 
• Build a deep understanding of trading workflows, quantitative models, and system performance needs while working with a multidisciplinary team. 
• Develop an implementation roadmap in partnership with Quant and Trading to deliver incremental improvements in trading performance and long-term architectural innovation. 
• Lead design implementation efforts, contribute to team code reviews, and champion best practices around performance, logic, standard methodologies and maintainability issues to ensure code-level consistency and scalability. 

Qualifications

• Proven experience and expertise with FPGA development. 
• Advanced proficiency using HDLs, with an emphasis on SystemVerilog or VHDL. 
• Comfortable working in Python and/or C++ for developing tools, testbenches, and integrations. 
• Demonstrated understanding of computer architectures. 
• Enthusiasm for applying modern, agile design and testing practices. 

Nice to Have 

• Experience in financial markets or trading environments. 
• Knowledge of common networking protocols like TCP/UDP and multicast. 

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are seeking a Principal Quantitative Researcher to partner with Trading and Technology to drive new revenue, scale, and evolve the firm's trading capabilities. In this role, you will lead research areas, influencing the direction of the team in a dynamic environment. This includes partnership with other researcher managers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. 

Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC! 

What You’ll Do

• Define and articulate a long-term vision that will lead to new sources of revenue, evolving with business needs and market structure 
• Conduct commercially focused revenue generating research, while supporting others with their research 
• Develop a structured roadmap and ensure quant functions remain focused, aligned, and accountable 
• Direct development of innovative infrastructure across pricing models and research platforms 
• Foster coordination across risk management, development, and quantitative research to drive measurable business impact 
• Provide thought leadership while applying academic rigor to practical trading applications  

What We’re Looking For

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Operations Research, Electrical Engineering) strongly preferred 
• Experience in a top systematic trading team of which at least 10 years as a quantitative researcher 
• Proven ability to conduct independent, high-quality research 
• Demonstrable track record of generating positive PnL 
• Exceptional ability to communicate complex ideas and research results, both in writing and verbally 
• Experience with the software development lifecycle with advanced programming skills 
• Unique combination of analytical prowess, programming skills, and acute understanding of business 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes 
• Strong Python skills including Numpy and Pandas libraries 

Nice to Haves

• Management experience leading a healthy and empowered team, driving accountability. 
• Experience with a wide variety of market and alternative data  
• Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques  
• Strong Python skills including Numpy and Pandas libraries  
• Strong track record of publications in an industry setting 

Description

TMG is seeking an Experienced Mid-Frequency Quantitative Researcher / Trader with a track record of success to lead an entrepreneurial initiative in this area at the firm. 

Description

TMG is seeking an Experienced Mid-Frequency Quantitative Researcher / Trader with a track record of success to lead an entrepreneurial initiative in this area at the firm.