Market Risk Business Analyst
| Dyddiad hysbysebu: | 13 Mawrth 2026 |
|---|---|
| Cyflog: | £700.0 i £800.0 bob dydd |
| Gwybodaeth ychwanegol am y cyflog: | £700-£800pd Inside IR35 via Umbrella |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 20 Mawrth 2026 |
| Lleoliad: | City of London, London, EC2V 6DN |
| Cwmni: | Hays Specialist Recruitment |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 4778323_1773423356 |
Crynodeb
A leading financial institution is currently seeking an experienced Market Risk Business Analyst to join their Risk Transformation team. This role will support the development and enhancement of market risk platforms, working closely with business stakeholders and technical teams across multiple regions.
Job Details:
- Start date: ASAP
- Duration: Initial 12 months
- Rate: £700-£800pd Inside IR35 via Umbrella
- Location: London
- Hybrid: 3 days in the office
Key Requirements:
- Strong experience working across large‑scale business and technology change programmes within financial services.
- Deep understanding of market risk measures, including Greeks, sensitivities, VaR and Expected Shortfall.
- Familiarity with a broad range of asset classes (fixed income, equities, derivatives).
- Ability to gather and document business and functional requirements, achieving consensus among global stakeholders.
- Experience producing functional specifications, interface specifications, and supporting documentation to established standards.
- Skilled in supporting UAT, including test planning, manual testing, defect triage and coordination with development teams.
- Proficiency in SQL for querying relational databases; experience with tools such as JIRA and Confluence.
- Ability to manage multiple concurrent workstreams, engage senior stakeholders, and operate across multiple jurisdictions.
Nice to Have:
- Experience with FRTB (SA or IMA) implementations.
- Exposure to vendor integration and mixed delivery (vendor + in‑house development).
- Knowledge of counterparty credit risk measures.
- Experience with ActivePivot, MDX queries or MongoDB.
- Exposure to Python for scripting or data analysis.
What you need to do now
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