Risk Quant Analyst - (Cournterparty Market Credit Risk) Python - Investment Bank

Quant with experience in credit risk, market risk or counterparty risk is Essential.

• Someone who has experience with back testing & building risk metrics.
• Python- must be able to write some bits of code/scripts to analyse data and build out metrics.
• A strong academic background, with at minimum a Masters in mathematics, physics or quantitative finance;
• Proven experience in a quantitative finance environment, preferably in a counterparty credit risk or similar model risk capacity;
• Practical knowledge of derivatives, their risk drivers and pricing models;
• Experience with design and implementation of prototype models;
• Ability to contribute and operate with low level of supervision.

This role will expose the candidate to a wide range of professionals within the bank. Accordingly he / she will also require good communication skills (both written and verbal) and the ability to work as part of a multi-disciplinary team.

Accordingly, the role does require a solid background in counterparty credit risk (preferred). Continuous interaction with other teams in Risk business.

Working in close partnership with other quantitative analysts working on Risk Systems and backtesting team members, as well as other stakeholders in risk, the successful candidate will be expected to:

• Contribute to the delivery of regulatory projects focused around the backtesting of CCR metrics. This includes gathering and documenting requirements, considering all stakeholders' interests, regulatory constraints and any potential deficiencies in the current methods exposed by quality assurance and regulatory processes;
• Investigate, analyse and design the metrics, reporting requirements and report structure, respecting the aims of accurately capturing risks whilst considering regulatory, system or other environmental constraints;
• Design, develop and test code changes required to implement the risk methods in the risk systems, whilst assisting the technical teams responsible for the production environment;
• Ensure the methods are adequately documented to support internal reviews and validation by internal auditors or regulators, by providing sufficient developmental evidences (i.e. materiality studies, description of assumptions, benchmarking against external methodologies and justification of methodological choices); take the lead in ensuring the successful review by model validation teams.

Inside IR35; Partly Remote

Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location