Senior Market Risk Developer – Historical Timeseries (Vice President)

Senior Market Risk Developer – Historical Timeseries

Position / Group description:

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

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