Quantitative Risk Analytics Strategist

Morgan Stanley

London, United Kingdom
Hybrid
Strong knowledge of python, c++, or java
Minimum 3 years professional experience in data role
Solid problem solving and math foundations
This role focuses on supporting Trading Risk Management by delivering accurate and timely data through robust reporting solutions

Job Summary

  • This role focuses on supporting Trading Risk Management by delivering accurate and timely data through robust reporting solutions.
  • The position involves writing, testing, and maintaining KDB+/Q code for data ingestion, transformation, and querying while optimizing system performance.
  • Morgan Stanley offers a culture of collaboration and creativity with comprehensive employee benefits and opportunities for flexible working arrangements.

Matching Summary

This role focuses on supporting Trading Risk Management by delivering accurate and timely data through robust reporting solutions.

Skills & Requirements

Must-have

  • Strong knowledge of Python, C++, or Java
  • Minimum 3 years professional experience in data role
  • Solid problem solving and math foundations

Nice-to-have

  • Familiarity with KDB+/Q programming language
  • Ability to collaborate with risk managers and engineers
  • High resilience in business decision-making environments

Key Requirements

  • Degree in Computer Science, Math, Engineering, Physics or quantitative field
  • Minimum 3 years of professional experience in data focused or backend engineering role

Work Rights

Not specified

Tailored Resume

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