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Senior Investment Risk Analyst, Crawley, West Sussex
Location: Crawley, West Sussex, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Views: 2
Posted: 06.06.2025
Expiry Date: 21.07.2025
Job Description:
Location: London
Hybrid Working Model
Paritas is aligned with a leading & global asset management client who is seeking a Senior Risk Analyst to support across multi-strategy, multi-asset portfolios. The role requires a quantitative mindset, programming skills, and good knowledge of factor models and derivatives. You should have strong communication and interpersonal skills, a good understanding of risk models and investment processes, and be self-sufficient and proactive.
You will:
* Design processes to ensure accurate risk analytics are available promptly.
* Analyze risk attribution reports for Portfolio Managers, Heads of Departments, Asset Class Heads, senior management, board members, marketing, and compliance.
* Participate in regular risk review meetings and off-cycle discussions on investment risk, performance, and other metrics to ensure portfolios are managed in the best interest of clients.
* Collaborate with investment teams on fund structuring and portfolio optimization strategies.
* Respond to requests from Portfolio Managers and proactively engage with them.
* Contribute to the development of portfolio risk analysis, improve risk modeling, and create insightful analyses on funds.
* Work with Technology and external vendors to streamline systems and workflows for efficiency.
Must have skills:
Experience:
* Degree or equivalent in Quantitative Finance, Statistics, or related fields.
* Experience in investment risk, quantitative finance, or front-office risk management.
Technical skills:
* Experience across multiple asset classes (e.g., equities, commodities, fixed income, rates, currencies), with good understanding of risk and return in at least two areas, and ability to learn others quickly.
* Knowledge of derivatives (types, valuation, pricing, risks).
* Knowledge of risk models, especially factor models.
* Proficiency in Excel, Python, and SQL for risk analytics and data processing.
* Understanding of risk concepts, stress testing, and scenario analysis.
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