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Senior investment risk analyst

Edinburgh
JR United Kingdom
Investment risk analyst
€80,000 - €100,000 a year
Posted: 10 June
Offer description

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Client:


Location:

edinburgh, United Kingdom


Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2


Posted:

06.06.2025


Expiry Date:

21.07.2025

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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 demands 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, and be self-sufficient and proactive.

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 to monitor investment risk, performance, and other metrics, ensuring portfolios are managed in the best interest of clients.
* Collaborate with investment teams on fund structuring and portfolio optimisation strategies.
* Respond to requests from Portfolio Managers and proactively communicate with them.
* Enhance risk analysis and modelling, developing new insights and decompositions of risk and performance.
* Work with Technology and external vendors to streamline systems and workflows, improving efficiency.

Must have skills:

Experience:

* Degree or equivalent in Quantitative Finance, Statistics, or related fields.
* Background in investment risk, quantitative finance, or front-office risk management.

Technical skills:

* Experience with multiple asset classes (e.g., equities, commodities, fixed income, rates, currencies), with good understanding of risk and return in at least two areas.
* Knowledge of derivatives (valuation, pricing, 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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