£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 employs a diversified range of systematic and quantitative strategies aross financial markets, with the objective of delivering high-quality, uncorrelated returns for clients.

They attribute their success to rigorous scientific reseach and possess deep expertise in trading, technology, and operations. As a technology and data driven firm, they design and build their own cutting-edge sustems, ranging from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true global collaboration by functionally aligning their investment, technology, and operations teams worldwide.

Position Overview

• Drive the development of the discretionary risk framework by enhancing firm-wide processes and infrastructure.
• Ensure discretionary strategies operate within riks limits and allocations defined by the Investment Commitee.
• Identify and evaluate risks associated with discretionary trading strategies.
• Analyze portfolio-level risk exposures and key performance drives.
• Collaborate with quantitative researchers and traders on strategy analysis.
• Support trade and portfolio construction across 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

• Graduate level up to 3 years of relevant experience.

Required Skillset

• Shows a keen interest in Risk Management and understanding complex risk frameworks.
• Applies a quantitative approach to problem-solving and decision-making.
• Thrives in fasst-paced environments with a strong sense of urgency and proactive mindset.
• Communicates effectively with global teammates to drive alignment and results.
• Demonstrates strong collaboration skills with trading, analyst, and quantiative teams.