Quantitative Analyst, Risk

Job description: Quantitative Analyst, Risk

Tasks

• Maintain and evolve our Python-based analytics platform, which is used daily to assess portfolio risks, factor exposures and signal balance
• Support stakeholder needs through the delivery of scheduled reports, board materials, data and ad-hoc analysis; with a strong focus on automation
• Develop, implement and evolve complex resources to accelerate throughput and reduce manual workflows
• Collaborate with control functions, investment teams and various risk stakeholders to build relationships and impact decision making
• Build tools that enable faster insight generation, including:
• Portfolio valuation dashboards
• Risk decomposition utilities
• Interactive visualization platforms
• Model-based analytics

Requirements

• Background in computer science, applied mathematics, engineering, physics or similar
• Fluent in coding, ideally with Python, and proficient with SQL, ideally with some experience in R or automation
• Familiarity with the use and navigation of a Linux/Unix environment
• Ability to quickly distill information into actionable recommendations
• Ability to build systems that scale
• Ability to ensure data quality, integrity and consistency over time
• Intrinsic motivation and appetite for learning

Technical requirements

• Breaking down the 'why' question behind the investment strategy
• Strong communication skills - both with people and with machines
• Ability to distill complex problems into several smaller ones
• Excellent numerical skills
• Positive attitude
• Curiosity
• Willingness to use modern AI tools

We offer

• A growing level of possibilities
• A work environment where inclusion is fundamental and deeply embedded in our culture and values
• Opportunities to learn, grow and develop talents
• Flexible working arrangements
• Charitable and global initiatives
• Professional development