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Senior Financial Market Risk Analyst

Convex • London, City of London, GB • 1d ago

Senior Financial Market Risk Analyst

Department: Risk

Employment Type: Permanent

Location: London, UK

Description

Convex is looking for a Senior Financial Market Risk Analyst. The role will be based in London. Joining an innovative and exciting green field insurer/reinsurer, the incumbent will report to the Group Head of Financial Market Risk with the Financial Market Risk function covering the Convex Group and its risk-bearing legal entities.

The successful candidate will play a key role in the risk oversight of the Group’s investment portfolios as well as any financial market risk arising from the business. The incumbent will work closely with the first line functions (capital modelling, analytics and investment management) to support and challenge how financial market risk is measured and modelled across the business.

Key Responsibilities

Oversight over monthly and quarterly risk reports in line with the group and entity risk frameworks
Oversight over the liability-based benchmarks for use at the Group level and entity level.
Oversight over the calibration and validation of market and credit risk parameters for use in capital modelling.
Contributing to quantitative and qualitative reviews of risk on a regular basis, including deep-dive analysis.
Support the independent risk opinion of the investment plan.
Oversight over the derivation and monitoring liquidity risk.
Running the quarterly RCSA process including liaising with stakeholder first line teams.
Supporting the ORSA reporting process from a market, credit and liquidity risk perspective.
Assisting with risk reviews of new investment products and due diligence on new investment managers.
Engaging with internal and external investment managers to share market insights and risk assessments.
Maintain a strong relationship with the first line teams by attending regular meetings and staying on top of developments within those areas.

Skills Knowledge and Expertise

Financial risk experience (minimum 3 years) in the context of an insurance company or actuarial consulting.
Strong understanding of investment fundamentals, asset classes, sectors and principles behind deriving both systematic and non-systematic risk.
Good understanding of risk management methodologies such as Value-at-risk (VaR).
Good understanding of risk-based economic and capital models including Solvency II.
Experience with quantitative risk modelling, ideally with some practical experience with stochastic risk models.
Graduate degree in financial modelling, economics, quantitative risk, actuarial or equivalent.
Making progress towards a relevant professional qualification (Actuarial, CFA or FRM).
Prior experience of using Algo is an advantage.