Build analytical tools, dashboards, and data pipelines to measure and optimize risk across trading businesses. Partner with Risk Managers and cross-functional teams to design, develop, and deploy production systems for exposure analysis, scenarios, capital, liquidity, and other risk factors.
We are seeking a Software Engineer to help build the technology and analytical frameworks used to understand, measure, and optimize risk across the firm's trading businesses.
Working directly with Risk Managers and software engineers globally, you will develop systems that help the firm analyze exposures, scenarios, capital, liquidity, and other risk factors across all asset classes. You will have significant autonomy to improve existing platforms, build new tools, and pursue opportunities that make the risk organization more effective.
This role is ideal for someone who enjoys combining software engineering, data science, and financial markets to solve complex, high-impact problems.
Your Core Responsibilities:
Your Skills and Experience:
Preferred Technical Experience
Working directly with Risk Managers and software engineers globally, you will develop systems that help the firm analyze exposures, scenarios, capital, liquidity, and other risk factors across all asset classes. You will have significant autonomy to improve existing platforms, build new tools, and pursue opportunities that make the risk organization more effective.
This role is ideal for someone who enjoys combining software engineering, data science, and financial markets to solve complex, high-impact problems.
Your Core Responsibilities:
- Design and build analytical tools that help Risk Managers understand portfolio exposures, stress scenarios, capital usage, and emerging risks
- Build high-end dashboards and visualization tools for stakeholders globally.
- Work with large data sets, data pipelines that support storage, retrieval, and analysis across the risk organization.
- Partner directly with Risk Managers to identify opportunities and rapidly translate ideas into production systems while collaborating within the firm's global risk development organization.
- Collaborate with engineering, trading, quantitative research, operations, and data teams across the firm
- Take ownership of projects from concept through production deployment
Your Skills and Experience:
- 3-5+ years of professional software engineering experience
- Strong development skills in Java and/or Python
- Experience building and supporting production systems
- Interest in financial markets, risk management, data science, and quantitative analysis
- Strong analytical and problem-solving skills
- Self-starter with a high degree of ownership and initiative
Preferred Technical Experience
- Distributed systems and service-oriented architectures
- Kubernetes and containerized applications
- React and modern web development
- PostgreSQL, ClickHouse, and analytical databases
- Parquet, Hadoop, and large-scale data platforms
- Data pipelines, ETL frameworks, and APIs
Similar Jobs at IMC Trading
Fintech • Machine Learning • Software • Financial Services
Develop and maintain high-performance algorithms for pricing and risk management, collaborate with traders and quants, and ensure accurate model outputs.
Top Skills:
C++Java
Fintech • Machine Learning • Software • Financial Services
As a Software Engineer, you will develop trading algorithms, collaborate with teams, and maintain the trading platform, leveraging your programming skills and problem-solving abilities.
Top Skills:
C++Java
Fintech • Machine Learning • Software • Financial Services
Partner with traders, quants, and engineers to identify, monitor, and manage market, credit, capital, and operational risks for Delta One and exchange-traded products. Develop quantitative risk methodologies, build Python-based risk tools and reporting, evaluate new strategies, and drive improvements to risk frameworks and automation.
Top Skills:
PythonSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


.png)