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Full timeTechnology

Risk Manager

Anson McCadeLondon🇬🇧United Kingdom

Why this role stands out

This Risk Manager role offers a significant opportunity to shape risk frameworks within a leading global investment firm, leveraging cutting-edge technology for impactful decision-making. You will thrive here if you possess a strong quantitative background and a passion for driving innovation in a collaborative, research-driven environment with a highly competitive compensation package. Apply now to join a dynamic team at the forefront of quantitative finance.

Quick overview

Salary£100k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationLondon, United Kingdom
Data Analysis

Job description

£100,000 GBP
+Sign-On + EOY Bonus
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
Our client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research.

As a technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world.

Position Overview

  • Identify and evaluate risk associated with discretionary trading strategies
  • Collaborate with Quantitative Researcher and Traders on the strategies analysis
  • Ensure the strategies are run within the risk allocation defined by the Investment Committee
  • Analyze risk at the portfolio level and performance drivers
  • Help with trade portfolio construction across the discretionary business
  • Drive the build out of risk framework by improving the firm's processes and infrastructure for management of the discretionary business
Qualifications
  • Education: Bachelor's degree in a quantitative or related field (includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics); advanced degree preferred.

Years Experience: (guidelines)

  • From graduate level up to 3 years of commercial experience
Required Skillset:
  • Demonstrated interest in Risk Management
  • Demonstrated interest in a quantitative approach
  • Capacity to collaborate with the trading, analysts and quants team
  • Strong communication skills with the ability to collaborate with teammates globally
  • Strong sense of urgency with the ability to work well in a fast-paced environment.

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