Senior Developer - Risk Technology - C#.NET, Python, Snowflake SQL (Vice President)

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our asset management platform.

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit. The Orchestration team are responsible for building and supporting Jefferies cloud based cross asset risk management platform.

We are seeking a hands‑on Senior Developer to build and operate a high‑scalable, AWS cloud-based risk platform leveraging a Snowflake database containing trade data, reference data and market data needed to produce the firm's risk. The majority of development is done in Python. The ideal candidate brings deep knowledge of distributed systems and data structures, and can optimize for performance, reliability, and cost.

• Design, implement, and support scalable Python based risk engines leveraging position, reference and market data stored in Snowflake databases
• Optimize the risk generation process to deliver accurate risk results in the least possible time
• Optimize distributed computation using strong data structures and algorithms
• Reconcile risk results produced by the new Orchestration platform with metrics from legacy internal risk systems to identify and correct trade breaks
• Investigate pricing and risk issues reported by risk management
• Collaborate with other internal IT teams to ensure a seamless end to end process for delivering risk.
• Participate in an on-call support rota

• 7+ years of development experience, Python & ideally C# .NET.
• Experience building and supporting pricing and risk management systems for one or more of the following asset classes: equities, fixed income, credit, FX & commodities
• Understanding of cash and derivative products and the risk measures for each i.e. delta, gamma, vega, theta, rho etc.
• Understanding of the market data required to generate risk i.e. yield curves, volatility surfaces, credit curves, correlation matrices, spot fx etc.
• Understanding of VAR, historical PNL vector generation, PNL generation, PNL attribution, custom risk scenarios etc.
• CI/CD, unit testing (pytest), and observability tooling.
• Strong grasp of distributed computing
• Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

• Snowflake SQL expertise
• AWS Cloud experience – Including EC2 & S3 experience
• Airflow/MWAA or equivalent job scheduler experience
• Kubernetes, EKS, Lambda or serverless experience in AWS as beneficial
• Messaging layer experience ZMQ, RabbitMQ, Kafka etc.

• Team player with strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex pricing issues and risk issues
• Strong verbal and written communication skills
• Self-starter and entrepreneurial in approach
• Ability to escalate and follow-up proactively
• Good time management skills
• Attention to detail

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live.

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law.

Full time

Posting Date: 2026-05-08