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

Jefferies· London, United KingdomEquityLicensed sponsor
Posted 8 May 2026 · Added 28 Jun 2026, 10:33
Jefferiesfounded 2004
AI summary

You will work with Python, C# .NET, Snowflake SQL, AWS (EC2, S3), Airflow/MWAA, Kubernetes/EKS, and messaging tools (ZMQ, RabbitMQ, Kafka). The Orchestration team builds and operates a high‑scalable, AWS cloud-based risk platform that generates risk reports for tens of thousands of cash and derivative trades. You will design and support Python risk engines using Snowflake databases.

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Description

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.

Position / Group description

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. The system generates risk reports for tens of thousands of cash and derivative trades which the firms risk managers use to assess Jefferies exposure to movements in equity prices, interest rates, FX rates, volatility and other market inputs. The system leverages a combination of external vendor and internally developed analytics libraries to handle curve and vol surface construction and pricing of trades.

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.

Primary Responsibilities

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

Essential Experience/ Skills

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 (in order of importance) 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

Nice to have

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.

Personal Attributes

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

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