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- Tasks: Design and implement solutions for sourcing and delivering end-of-day market data.
- Company: Join a leading firm in risk technology with a global impact.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in risk management using cutting-edge technology.
- Qualifications: Experience in Python, SQL, Snowflake, and knowledge of market data across asset classes.
- Other info: Collaborative environment with strong focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
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.
We are seeking a Market Data Developer to design and implement solutions for sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS, and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide accurate and timely market data inputs for pricing engines and risk models.
Primary Responsibilities:
- Data Sourcing & Integration: Source EOD market data by region from various front-office marking systems and external providers. Validate and normalize data across asset classes for pricing and risk consumption.
- Data Modeling & Storage: Design and implement data models in Snowflake to persist end-of-day prices, volatility surfaces, credit spread curves, discount curves, and other risk-related market data.
- Infrastructure Development: Provide solutions to pricing engines to deliver market data by region with high reliability and performance. Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance. Implement data quality checks and ensure auditability. Integrate with AWS SQS messaging for data readiness events.
- Collaboration: Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage. Work closely with the Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.
Essential Experience/Skills:
- 5+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
- Technical: Strong Python (pandas, numpy, data engineering best practices). Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization). ETL/ELT pipeline development.
- Domain Knowledge: Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities). Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
- Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline.
Personal Attributes:
- Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues.
- Strong verbal and written communication skills.
- Self-starter and entrepreneurial in approach.
- Ability to escalate and follow-up proactively.
- Good time management skills.
Senior Market Risk Developer - Market Data in London employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Risk Developer - Market Data 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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your Python, SQL, or Snowflake expertise, make sure to share them during interviews. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for those tricky questions! Brush up on market data concepts and be ready to discuss how you’d tackle real-world problems. We want to see your analytical skills in action!
✨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 keen to join us directly.
We think you need these skills to ace Senior Market Risk Developer - Market Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Market Data Developer role. Highlight your experience with Python, SQL, and Snowflake, and don’t forget to mention any relevant market data knowledge you have. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about market data and risk management. Share specific examples of your past work that relate to the responsibilities listed in the job description. Let us know why you’d be a great fit for our team!
Showcase Your Technical Skills: Since this role requires strong technical skills, make sure to highlight your experience with data sourcing, integration, and infrastructure development. Mention any projects where you’ve implemented solutions using AWS or built scalable data models. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your CV and cover letter directly. Plus, it helps us keep track of all applications in one place. We can’t wait to hear from you!
How to prepare for a job interview at Jefferies
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Snowflake skills. Be ready to discuss specific projects where you've used these technologies, especially in relation to market data. They’ll want to see how you’ve tackled challenges and optimised performance.
✨Understand Market Data Concepts
Familiarise yourself with end-of-day pricing and risk inputs, especially across different asset classes like Rates, FX, and Credit. Being able to speak confidently about these concepts will show that you’re not just technically savvy but also have the domain knowledge they’re looking for.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical and problem-solving skills. Think of examples where you’ve resolved complex data issues or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to discuss how you’ve collaborated in the past. Highlight any experiences where you’ve defined requirements or maintained data lineage with other departments, showcasing your communication skills and teamwork.
