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: Diverse culture, career growth, and opportunities for all employees.
- Other info: Collaborative environment focused on innovation and diversity.
- Why this job: Make an impact in risk management with cutting-edge technology and data solutions.
- Qualifications: 7+ years in application development, strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 £ 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.
Essential Experience/ Skills
- 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.
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.
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 Timeseries (Vice President) in London employer: Jefferies
Jefferies is an exceptional employer that fosters a dynamic and inclusive work culture, providing employees with the opportunity to engage in meaningful projects within the global investment banking sector. With a strong emphasis on diversity and professional growth, employees benefit from collaborative teamwork, cutting-edge technology, and a commitment to innovation, all while being part of a firm that values their unique perspectives and contributions. Located in a vibrant city with access to a wealth of resources and networking opportunities, Jefferies empowers its workforce to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Market Risk Developer – Historical Timeseries (Vice President) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Jefferies. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or any projects related to market risk or data engineering, share them. It’s a great way to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and Snowflake, and how you've tackled real-world data challenges in the past.
✨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, it shows you’re genuinely interested in joining our team at Jefferies.
We think you need these skills to ace Senior Market Risk Developer – Historical Timeseries (Vice President) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in market risk and technical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
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 skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Since this role requires strong technical abilities, make sure to highlight your experience with Python, SQL, and Snowflake. We’re looking for specific examples of how you’ve used these tools to solve problems or improve processes.
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 track your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Jefferies
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills required for the role, especially Python, SQL, and Snowflake. Brush up on your data engineering best practices and be ready to discuss how you've used these technologies in past projects.
✨Understand Market Risk Concepts
Familiarise yourself with key market risk concepts like VaR, SVaR, and stress testing. Be prepared to explain how these concepts relate to the role and provide examples of how you've applied them in your previous work.
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific instances where you've tackled complex data-related issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical abilities.
✨Communicate Effectively
Strong verbal and written communication skills are essential. Practice explaining technical concepts in a clear and concise manner, as you’ll need to collaborate with various teams. Consider preparing a few questions to ask your interviewers about their processes and challenges.