At a Glance
- Tasks: Design and enhance market risk time series infrastructure using Snowflake and AWS.
- Company: Join a leading firm in risk technology with a global impact.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Make a difference in risk management while working with cutting-edge technologies.
- Qualifications: Experience in Python, SQL, and market risk concepts required.
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.
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:
- + 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.
Senior Market Risk Developer Historical Timeseries in London employer: Jefferies
Jefferies is an excellent employer that fosters a dynamic and inclusive work culture, encouraging innovation and collaboration among its teams. With a strong focus on employee growth, the company offers numerous opportunities for professional development and advancement in the finance sector. Located in a vibrant financial hub, Jefferies provides a stimulating environment where employees can thrive while contributing to impactful projects in AI-driven finance and audit.
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We think you need these skills to ace Senior Market Risk Developer Historical Timeseries in London
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