At a Glance
- Tasks: Design and implement scalable risk engines using Python and Snowflake databases.
- Company: Join Jefferies, a leading global investment banking and securities firm.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative team culture with excellent career advancement opportunities.
- Why this job: Make an impact in risk management with cutting-edge technology in a dynamic environment.
- Qualifications: 7+ years in development, strong Python skills, and experience in risk management systems.
The predicted salary is between 80000 - 100000 £ per year.
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 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.
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.
- 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.
Senior Developer - Risk Technology - Python, C# .NET, Snowflake SQL (Vice President) in London employer: Jefferies Financial Group
Jefferies Financial Group Inc. is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Risk Technology group. Employees benefit from a strong focus on professional development, competitive compensation, and the opportunity to work with cutting-edge technologies in a global financial services firm. Located in the U.K., Jefferies promotes a culture of teamwork and inclusivity, making it an ideal place for talented individuals seeking meaningful and rewarding careers in finance and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Developer - Risk Technology - Python, C# .NET, Snowflake SQL (Vice President) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those using Python and C#. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to risk management systems. Practice coding challenges to keep your skills sharp and ready for anything they throw at you.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Developer - Risk Technology - Python, C# .NET, Snowflake SQL (Vice President) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Developer in Risk Technology. Highlight your experience with Python, C# .NET, and Snowflake SQL, as well as any relevant projects that showcase your skills in risk management systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about risk technology and how your background makes you a perfect fit for our team. Don’t forget to mention specific experiences that align with the job description.
Showcase Your Problem-Solving Skills:In your application, be sure to highlight examples where you've tackled complex problems, especially in distributed systems or risk management. We love seeing how you approach challenges and find solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Jefferies!
How to prepare for a job interview at Jefferies Financial Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python, C# .NET, and Snowflake SQL. Brush up on your knowledge of distributed systems and data structures, as these are crucial for the role. Be ready to discuss how you've used these technologies in past projects.
✨Understand Risk Management
Familiarise yourself with risk measures like delta, gamma, and vega, as well as the market data needed for risk generation. Prepare examples of how you've tackled pricing and risk issues in previous roles to demonstrate your expertise.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss complex problems you've solved in your previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills and attention to detail.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
