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: Dynamic environment with a commitment to 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 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.
- 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.
About Us: 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) 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 and access to cutting-edge technology, ensuring they are well-equipped to excel in their roles. Located in a vibrant city with over 40 offices worldwide, Jefferies offers a stimulating environment where innovative ideas thrive, making it an attractive place for talented individuals seeking rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Market Risk Developer – Historical Timeseries (Vice President)
✨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 on what they're really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with Python, SQL, or market risk concepts, make sure to share them during interviews. It’s all about proving you can walk the walk!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of VaR, SVaR, and data quality issues. Being able to discuss these topics confidently will show you’re not just a techie but also understand the market risk landscape.
✨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 the team at Jefferies.
We think you need these skills to ace Senior Market Risk Developer – Historical Timeseries (Vice President)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with 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 expertise, make sure to highlight your proficiency in Python, SQL, and Snowflake. We’re looking for specific examples of how you’ve used these skills in past projects, so get into the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferies
✨Know Your Market Risk Concepts
Make sure you brush up on your knowledge of market risk concepts like VaR and SVaR. Being able to discuss these topics confidently will show that you understand the domain and can translate those requirements into technical solutions.
✨Demonstrate Your Technical Skills
Prepare to showcase your Python and SQL skills during the interview. You might be asked to solve a problem or explain how you've used these technologies in past projects, so have some examples ready that highlight your experience with data engineering best practices.
✨Familiarise Yourself with Snowflake and AWS
Since the role involves building and enhancing Snowflake-based infrastructure, it’s crucial to understand its features and capabilities. Be ready to discuss how you've used Snowflake in previous roles, especially in relation to time series data.
✨Showcase Your Collaboration Skills
This position requires working closely with various teams, so be prepared to talk about your experience collaborating with stakeholders. Highlight any instances where you’ve successfully defined data contracts or maintained data lineage, as this will demonstrate your ability to work effectively in a team environment.