At a Glance
- Tasks: Design and maintain market risk time series infrastructure using Snowflake and AWS.
- Company: Join Jefferies, a leading global investment banking and capital markets firm.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and innovation.
- Why this job: Make an impact in risk management while working with cutting-edge technology.
- Qualifications: 7+ years in application development, strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 £ 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.
The position is for a Techno-Functional Developer to design, enhance, and maintain the Market Risk Time Series infrastructure built on Snowflake and AWS. This role requires strong technical skills combined with deep domain expertise in market risk, including VaR, end-of-day market data, and historical time series. The candidate will work closely with the Market Data team and Risk stakeholders to ensure accurate, scalable, and auditable data solutions for risk analytics.
Primary Responsibilities- Data Sourcing & Integration: Source historical market data from multiple internal and external providers. Integrate with quant libraries to identify data quality issues and validate risk inputs.
- Data Quality & Remediation: Integrate with Quant APIs to detect and remediate common data quality issues (gaps, stale data, outliers, misalignments). Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations.
- Infrastructure Development: Build and enhance Snowflake-based time series infrastructure for scalability and performance. Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval.
- Collaboration & Governance: Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage. Ensure reproducibility and auditability of risk inputs for regulatory compliance.
- 7+ 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 (warehouse management, streams/tasks, query optimization).
- Domain Knowledge: Market risk concepts: VaR, SVaR, sensitivities, stress testing. Handling end-of-day market data and historical time series across asset classes.
- Techno-Functional: Ability to translate risk requirements into technical solutions and data contracts.
- Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline.
- 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.
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. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
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.
Senior Market Risk Developer – Historical Time Series employer: Jefferies
At Jefferies, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to diversity and inclusion ensures that every employee has the opportunity to thrive, while our global presence provides unique exposure to various markets and industries. With a focus on professional growth and development, we empower our team members to take ownership of their careers in a supportive environment that values creativity and fresh perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Market Risk Developer – Historical Time Series
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to market risk and data analysis. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market risk concepts. Practice common interview questions and be ready to discuss how your experience aligns with the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Market Risk Developer – Historical Time Series
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with market risk and data integration. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess in Python, SQL, and Snowflake.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about market risk and how your background makes you a perfect fit for our team. Let us know what excites you about working with data and risk analytics.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex data issues or improved processes. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jefferies
✨Know Your Market Risk Inside Out
Make sure you brush up on your knowledge of market risk concepts like VaR, SVaR, and stress testing. Being able to discuss these topics confidently will show that you understand the domain and can translate those requirements into technical solutions.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and Snowflake during the interview. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready that highlight your experience with data engineering best practices.
✨Emphasise Collaboration
Since this role involves working closely with Market Data and Risk teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve common goals, especially in data sourcing and integration.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of complex data-related issues you've encountered in the past and how you resolved them. This will help demonstrate your ability to troubleshoot effectively, which is crucial for this role.