Head of Risk Data Operations & Analytics

Fidelity Investments; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial services company is seeking a data expert to lead the Risk Platform Operations team. This role focuses on ensuring portfolio risk analytics are delivered accurately and on time, mentoring junior members, and resolving data quality issues. Successful candidates will have robust experience with market risk models, strong analytical skills, and proficiency in SQL and Python, with at least 5 years in data operations within finance. The position requires collaboration across technical and investment teams to maintain high-quality data for decision-making.

Qualifications

• 5+ years of experience in global data operations within the financial industry.
• Demonstrated leadership in mentoring junior associates.
• Ability to identify and resolve root-cause data quality issues.

Responsibilities

• Lead the Risk Platform Operations team ensuring accurate risk analytics.
• Mentor junior members, enhancing their domain expertise.
• Collaborate with internal and external data providers to resolve data issues.

Skills

Market risk models experience

Strong analytical capabilities

Proactive and self-motivated

Deep understanding of financial data

Proficiency in SQL

Proficiency in Python

Experience in data quality frameworks

Excellent communication skills

Education

Bachelor’s degree in quantitative discipline

Tools

Snowflake

Oracle

Job description

A leading financial services company is seeking a data expert to lead the Risk Platform Operations team. This role focuses on ensuring portfolio risk analytics are delivered accurately and on time, mentoring junior members, and resolving data quality issues. Successful candidates will have robust experience with market risk models, strong analytical skills, and proficiency in SQL and Python, with at least 5 years in data operations within finance. The position requires collaboration across technical and investment teams to maintain high-quality data for decision-making.