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

Jefferies; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Jefferies is looking for a Senior Developer in Greater London to build and operate a cloud-based risk platform. You will design and implement scalable risk engines in Python, optimizing for performance, reliability, and cost. The role requires at least 7 years of development experience and strong knowledge of distributed systems. Candidates should have experience with risk management across various asset classes. The position offers an opportunity to work with AWS and Snowflake technologies.

Qualifications

• 7+ years of development experience in Python and ideally C# .NET.
• Experience with pricing and risk management systems across multiple asset classes.
• Strong understanding of market data required for risk generation.

Responsibilities

• Design and implement scalable Python-based risk engines.
• Optimize risk generation processes to improve performance.
• Collaborate with internal teams to ensure end-to-end risk delivery.

Skills

Python

C# .NET

Distributed systems

CI/CD

Unit testing (pytest)

Snowflake SQL

AWS Cloud

Data structures

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or similar

Tools

AWS EC2

AWS S3

Kubernetes

RabbitMQ

Kafka

Job description

Job Description

We are seeking a hands‑on Senior Developer to build and operate a highly‑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.

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 is 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 firm's 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.

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 P⊃N (LC) vector generation, P⊃N (LC) generation, P⊃N (LC) 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 a 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 elevate and follow‑up proactively.
• Good time management skills.
• Attention to detail.

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. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.