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Senior Investment Risk Analyst, Newcastle-upon-Tyne, Tyne and Wear
Location: Newcastle-upon-Tyne, Tyne and Wear, 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 good communication and interpersonal skills, a solid understanding of risk models and investment processes, along with self-sufficiency and initiative.
You will:
* Design processes to ensure accurate risk analytics are available promptly.
* Analyse risk attribution reports for Portfolio Managers, Heads of Departments, Asset Class Heads, senior management, board directors, marketing, and compliance teams.
* Participate in regular risk review meetings and off-cycle discussions covering 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 direct requests from Portfolio Managers and proactively engage with them.
* Contribute to developing portfolio risk analysis, improving existing risk models, and creating new insightful analyses on funds.
* Work with Technology and external vendors to streamline systems and workflows, enhancing efficiency.
Must have skills:
Experience:
* Degree or equivalent in a relevant field such as Quantitative Finance or Statistics.
* Background 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 of these areas, and ability to learn others quickly.
* Strong knowledge of derivatives, including types, valuation, pricing, and risks.
* Strong understanding 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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