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 

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed! 

Responsibilities

• Contribute directly to impactful improvements to HRT’s low-latency trading systems
• Analyze large datasets to understand how complex systems and networks behave in real-world conditions, such as exchange technology and performance of HRT systems
• Build Python-based tools and scripts to collect, clean, and visualize data in a clear and actionable way
• Design and run experiments to measure the impact of changes and identify opportunities for improvement
• Collaborate closely with HRT’s Algorithm Development, Trading Technology, and Business Development teams to discover, research, and implement improvements to HRT’s architecture
• Liaise with exchanges globally to better understand their technology and stay up to date on changes and improvements

Qualifications

• A technical degree or equivalent practical experience
• Experience with Python and Pandas 
• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Strong curiosity about how financial systems, networks, and cutting-edge technology work, and a willingness to learn new concepts quickly
• Ability to think analytically, ask insightful questions, and approach unfamiliar problems methodically
• Strong cross-functional communication skills and an interest in collaborating with others

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.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

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.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

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.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

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.

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:

• Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
• Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
• Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
• Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).

Required Qualifications:

• Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
• Strong programming skills: Python (pandas, NumPy, backtesting).
• Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
• Hands-on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
• Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non-negotiable.

Highly Valued (but not strictly required):

• Prior profitable trading experience in prediction markets, options, or event-driven strategies (personal or professional).
• Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
• Experience with low-latency systems, FIX protocol, or Web3 integrations.
• Track record of building and backtesting quantitative models with real historical data.
• Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).

Who We’re Looking For: We are especially interested in exceptionally sharp, self-motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Apply With: 

• Resume
• Cover letter explicitly detailing your genuine interest in prediction markets (specific examples of your engagement: trades you’ve made, resolutions you’ve studied, models you’ve built, protocols you follow, etc.)
• GitHub, personal blog, or portfolio links showing relevant work

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location:  Flexible.  US-based preferred.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with DevOps, databases, big data, or frontend frameworks;
• Experience with Docker, Kubernetes, and Linux environments;
• Experience working with financial data;
• Foundational knowledge of quantitative trading concepts and equity/index options;
• Exposure to web/API frameworks such as FastAPI and React;
• Experience with automated testing and CI/CD pipelines;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
• Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.

#LI-DNI

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

WHAT YOU'LL DO

• Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge product
• Collaborate closely with other teams (e.g., UI/UX, Product, Research, Implementation) to create scalable and dynamic Braze product components 
• Apply your extensive knowledge of TypeScript, JavaScript and their ecosystem to build a clean, reliable, and extensible user interface for the web
• Influence Braze’s product strategy and roadmap
• Support teams implementing Braze for customers to ensure their success
• Tech stack:
  • Web: TypeScript, JavaScript, Vue.js (v3) and its ecosystem (VueCLI with webpack), Node.js, Strapi, PostgreSQL, HTML5, CSS3
  • Data Science/ML Pipeline: Python (Pandas, TF, Fast API, Great Expectations), SQL (not required for this role although some experience with Python would be helpful)
  • We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development

WHO YOU ARE

• Exceptional coder: you write clean code and you care about good design and development best practices
• Tinkerer: you regularly explore and learn new technologies and methods
• Problem solver: you recognize patterns, synthesize information and come up with creative, simple, and practical solutions
• Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
• Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

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 

Position Overview:

Come join the team at Zynga making an impact across all of the company’s games - Mobile Game Tech! Do you love developing data models and visualizations to help teams make strategic decisions? This analyst role is a key figure in our cost transparency efforts on the FinOps team, delivering critical insights into service costs. This position also provides dashboards, data visualizations, and analyses for areas that make our org effective at serving our internal customers, allowing all teams to make better decisions.

What You'll Do:

• Lead financial analysis activities with regards to internal cost allocations for technology spend
• Lead data model design and data analysis aspects of the FinOps team’s software development, including close collaboration with other FinOps software engineers
• Engage with customers and stakeholders to design and iterate upon user-facing data visualizations
• Develop data ingestion and normalization to serve data visualizations and dashboards, as well as owning maintenance and ensuring ongoing data quality
• Support FinOps guidelines and work with other teams and partners to implement cost analysis and optimizations for technology spend across Zynga
• Interact with members of Finance and the C-suite with regards to technology cost allocations, forecasts, and ad hoc FinOps-related requests

What You Bring:

• B.S. in Computer Science, Math, Statistics, Engineering, or other quantitative field (or equivalent experience)
• Demonstrated proficiency with Python for data cleaning and data wrangling (pandas, NumPy), and ability to work with source code via pull requests, CICD pipelines, etc
• 8+ years of hands-on experience with the following: SQL, data warehouses, Tableau or similar data visualization tools
• Ability to design monitoring rules for validating data quality within data pipelines
• Experience collaborating with customers to assess their analysis and visualization needs and design solutions that present the data effectively and clearly
• Ability to think through the UI/UX of data visualizations to best serve the target audience's needs
• Comfort interacting with stakeholders at a much more senior level, ability to adjust communication style to the audience
• Experience working autonomously and capable of tackling solo projects with ease

Bonus Points:

• Familiarity with FinOps practices
• Familiarity with financial concepts related to budgeting, forecasts, amortization, etc
• Previous experience with software engineering platforms such as AWS, Splunk, Datadog

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site.

The pay range for this position in Ontario at the start of employment is expected to be between $119,140 and $169,140 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

We are looking for a data-focused engineer with a strong operational focus to support the Performance Team’s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.

The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.

What you’ll do:

• Own the operational health of the Performance Team’s data platform
• Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
• Design and maintain data quality checks, reports, and alerting specific to performance data
• Investigate and resolve data issues and pipeline failures, driving problems to root cause
• Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
• Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
• Build and maintain operational tooling, automation, and runbooks
• Continuously tune data pipelines and workloads to improve performance and resource efficiency

What you bring:

• 3+ years of experience in software engineering or data engineering with an operational or production focus
• A Bachelor’s Degree in Computer Science or a related field is strongly preferred
• Proficiency in Python, with hands-on experience using PySpark and Pandas
• Experience supporting production ETL or data processing systems
• Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
• Strong analytical skills and attention to detail
• Comfortable taking ownership in a performance- and reliability-critical environment

Nice to Have

• Experience working with performance-critical or high-throughput systems
• Exposure to workload scheduling, resource management, or cluster-based compute

What Success Looks Like

• Performance data pipelines are reliable, observable, and trusted
• Issues are detected early and resolved quickly with clear root-cause ownership
• Workloads are well-balanced and systems run efficiently

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available.

Quantitative Researcher (Requisition ID: 4453347101)

Your Skills and Experience

This position requires a PhD, or foreign equivalent, in Finance, Financial Mathematics, Financial Engineering, Statistics, Computational Mathematics or similarly quantitative and mathematical field.

Must have demonstrated experience in each of the following skill(s):

• Application of analytical and quantitative techniques to solve complex problems;
• Designing and implementing mathematical models and algorithms, including linear modeling, convex optimization, and numerical methods for large-scale data and parameter estimation;
• Developing and using computational data analysis tools for research;
• Statistical programming techniques (including Python or C++) and designing and executing independent quantitative research projects, including formulation of hypotheses, development of models, empirical testing, and clear documentation of results;
• Time series analysis, applied statistics, and theoretical mathematics (such as probability, measure theory/real analysis, and linear algebra);
• Implementing algorithms, conducting data analysis, and building research pipelines using numerical and scientific computing libraries (such as NumPy, pandas, SciPy) and version control (such as Git);
• Experience with time series modeling and forecasting, including stochastic processes and state-space or related frameworks, such as applied to real-world data; and
• Conducting literature reviews and replicating and extending prior work with methodological rigor and reproducibility.

#LI-DNI

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

Jump’s Client Market Making business provides clients with direct access to our liquidity across a wide range of asset classes in all market conditions. Leveraging our proprietary pricing platform, we deliver fully customizable and disclosed liquidity solutions designed to meet the unique needs of each of our clients.

As a Trading Services Specialist in our Client Market Making business, you will play a key role in onboarding clients, supporting global platform operations, and collaborating with business development, product, technology, and back-office teams to enhance the client experience.

This role is based in either Chicago, Illinois or New York, New York.

What You'll Do:

• Manage the entire client onboarding process including connectivity, session setup, conformance testing, and pilot trades.
• Monitor and resolve production issues to ensure a seamless client trading experience.
• Collaborate with developer and production reliability engineer teams to identify workflow and system issues, document/prioritize tickets, and deliver solutions.
• Partner with trading, product, and sales teams to turn client requests into actionable roadmap items.
• Create and maintain clear up-to-date documentation that enables team-wide knowledge sharing.

Skills You Need:

• Bachelor’s degree with demonstrated experience in a fast-paced, client-facing trading environment.
• 3 to 6 years of relevant experience working with trading systems, order entry protocols, market data protocols, troubleshooting technical issues and providing production support.
• Strong understanding of the client onboarding lifecycle, including FIX protocol, conformance testing, and network routing.
• Product expertise in at least one asset class (e.g., FX, CFDs, equities, fixed income).
• Proven ability to successfully lead and complete technical projects.
• Experience with data analysis using tools like Python (Pandas, NumPy), SQL, or KDB+.
• Flexibility to collaborate across time zones, including occasional off-hours work.

Benefits include:

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

At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a curious and driven Product Operations Analyst to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience.

Who You Are:

• An early-career professional, from a recent graduate up to 2 years of experience, looking to build a career in product operations.
• A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle.
• Curious about AI: You don't need to be an expert, but you're an enthusiast who is interested in learning about the latest AI technologies and tools and their potential to improve user experiences.
• Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis.
• A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem.
• Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to learn is most important.
• Collaborative & Hands-On: You are a team player who is ready to roll up your sleeves and help with a variety of tasks, from testing new features to analyzing user feedback.

What You'll Do:

• Support Product Rollouts & Adoption: Work closely with product, design, and operations teams to help execute outreach and rollout plans for new features.
• Contribute to Product Development: Act as a key tester for new product capabilities. You'll document your findings, share user feedback with the product team, and help identify areas for improvement.
• Analyze Feature Performance: Assist in monitoring the performance of new features by tracking key metrics, analyzing user behavior, and summarizing insights for the team.
• Champion the User Experience: Be a voice for our users. You'll help gather, organize, and analyze user feedback from various channels to inform the product roadmap.
• Streamline Team Operations: Support the team by identifying opportunities to make our processes more efficient, whether through better documentation, improved feedback loops, or simple automations.

Nice To Have:

• Familiarity with Automation Tools: Any experience playing with tools like Zapier or other no-code/low-code platforms is a bonus.
• Data Analysis Exposure: Basic experience with SQL, Python (Pandas), or data visualization tools like Tableau or Looker.
• Internship or Project Experience: Previous internships or relevant project work in a tech, startup, or marketplace environment.
• Customer-Facing Experience: Experience in a role where you directly interacted with users or customers (e.g., customer support, community management).

For IL based applicants:

• The base salary for this position is $80,000 - $100,000
• This position is eligible for equity in the form of stock options
• This position is eligible for Instawork benefits, including:
• A variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

At Instawork, our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. To empower these individuals and ensure our technology truly serves them, we're seeking a curious and driven Product Operations Intern to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience.

To help us evaluate your skills in a hands-on context, you will receive an email invitation to complete a practical case study upon applying to this role. 

Who You Are:

• Currently enrolled in an undergraduate program with a strong interest in product operations.
• A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle.
• Curious about AI: You don't need to be an expert, but you're an enthusiast interested in learning about the latest AI technologies and tools and their potential to improve user experiences.
• Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis.
• A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem.
• Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to learn is most important.
• Collaborative & Hands-On: You are a team player who is ready to roll up your sleeves and help with a variety of tasks, from testing new features to analyzing user feedback.

What You'll Do:

• Support Product Rollouts & Adoption: Work closely with product, design, and operations teams to help execute outreach and rollout plans for new features.
• Contribute to Product Development: Act as a key tester for new product capabilities. You'll document your findings, share user feedback with the product team, and help identify areas for improvement.
• Analyze Feature Performance: Assist in monitoring the performance of new features by tracking key metrics, analyzing user behavior, and summarizing insights for the team.
• Champion the User Experience: Be a voice for our users. You'll help gather, organize, and analyze user feedback from various channels to inform the product roadmap.
• Streamline Team Operations: Support the team by identifying opportunities to make our processes more efficient, whether through better documentation, improved feedback loops, or simple automations.

Nice To Have:

• Familiarity with Coding Agents: Extensive experience building with autonomous agents like Replit Agent and Cursor to move from natural language prompts to production-ready code and complex workflows.
• Data Analysis Exposure: Basic experience with SQL, Python (Pandas), or data visualization tools like Tableau or Looker.
• Internship or Project Experience: Previous internships or relevant project work in a tech, startup, or marketplace environment.
• Customer-Facing Experience: Experience in a role where you directly interacted with users or customers (e.g., customer support, community management).

For IL based applicants:

• The pay range for this position is $30 - $40 per hour

A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a curious and driven Product Operations Analyst to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience.

Who You Are:

• An early-career professional, from a recent graduate up to 2 years of experience, looking to build a career in product operations.
• A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle.
• Curious about AI: You don't need to be an expert, but you're an enthusiast who is interested in learning about the latest AI technologies and tools and their potential to improve user experiences.
• Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis.
• A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem.
• Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to learn is most important.
• Collaborative & Hands-On: You are a team player who is ready to roll up your sleeves and help with a variety of tasks, from testing new features to analyzing user feedback.

What You'll Do:

• Support Product Rollouts & Adoption: Work closely with product, design, and operations teams to help execute outreach and rollout plans for new features.
• Contribute to Product Development: Act as a key tester for new product capabilities. You'll document your findings, share user feedback with the product team, and help identify areas for improvement.
• Analyze Feature Performance: Assist in monitoring the performance of new features by tracking key metrics, analyzing user behavior, and summarizing insights for the team.
• Champion the User Experience: Be a voice for our users. You'll help gather, organize, and analyze user feedback from various channels to inform the product roadmap.
• Streamline Team Operations: Support the team by identifying opportunities to make our processes more efficient, whether through better documentation, improved feedback loops, or simple automations.

Nice To Have:

• Familiarity with Automation Tools: Any experience playing with tools like Zapier or other no-code/low-code platforms is a bonus.
• Data Analysis Exposure: Basic experience with SQL, Python (Pandas), or data visualization tools like Tableau or Looker.
• Internship or Project Experience: Previous internships or relevant project work in a tech, startup, or marketplace environment.
• Customer-Facing Experience: Experience in a role where you directly interacted with users or customers (e.g., customer support, community management).

For CA based applicants:

• The base salary for this position is $80,000 - $100,000
• This position is eligible for equity in the form of stock options
• This position is eligible for Instawork benefits, including:
• A variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

Join our team as Sr. Engineer in the systematic vol trading space. Lead the development of a cutting-edge options research and trading platform that directly influences our market position and drives pnl. Bridge the gap between development, research and trading teams to deliver technical solutions that give us a market edge.

What You’ll Do

• Develop, test, and maintain high-performance trading applications, backtesting tools, and libraries using Python, with a focus on volatility products.
• Work closely with traders to translate strategies into technical requirements, and with researchers to optimize the integration of models into live trading systems.
• Create and drive a technical roadmap developing strong, dependable, and easy-to-maintain code in accordance with established guidelines and industry norms.
• Participate in code reviews, provide constructive feedback, and contribute to continuous improvement within the team.
• Keep up-to-date with the latest advancements in trading technology, Python development, and related libraries and frameworks.

What We’re Looking For

• Significant experience in working directly on a systematic trading desk. Options experience strongly preferred.
• Experience in an architect-level role.
• Hands-on experience with Python and proficiency in modern Python concepts such as asyncio.
• Experience designing and implementing systems capable of processing real-time market data at low latencies and integrating seamlessly with research pipelines.
• Experience designing and implementing high-performance and flexible research systems capable of hosting and processing terabytes of data on a computer cluster with GPU and tens of thousands CPU cores.
• Experience using numerical toolkits such as pandas and NumPy is preferred but not required.

How You’ll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.

A Day in the Life

• Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.

• Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.

• Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.

• Partner with data scientists to design experiments and apply statistical concepts to real-world data.

• Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation’s leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:

• Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC

• Infrastructure: AWS, Snowflake, Docker, GitHub

• Techniques & Tools:

  • Regression (with and without Bayesian priors)

  • Vector embeddings, similarity, clustering

  • Core statistics and distributions for EDA

  • Optimization methods (multi-armed bandit, mixed integer programming)

  • Causal inference and probabilistic modeling

What We’re Looking For
We’re seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:

• Strong experience implementing ML models in Python.

• Familiarity with regression, embeddings, causal inference, and optimization techniques.

• Experience applying statistical methods to exploratory data analysis.

• Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:

• NLP tasks (LLMs, spaCy, neural networks).

• Recommender systems, latent factors, matrix factorization.

• Graph algorithms.

• Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000

Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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