Senior Counterparty Credit Risk Manager

JR United Kingdom; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A fast-growing bank in London is seeking a Senior Counterparty Credit Risk Manager to join their Model Validation team. This role involves validating important financial models, engaging with stakeholders, and managing model risk in a hybrid working environment. Ideal candidates will possess advanced quantitative degrees and experience in risk management.

Qualifications

• Advanced knowledge of financial mathematics and risk models.
• Experience with validating counterparty risk models (PFE and XVA).
• Proficiency in coding (preferably C++) and financial analytics tools.

Responsibilities

• Validating counterparty credit exposure and XVA models.
• Documenting validation testing and findings.
• Communicating with stakeholders and regulators.

Skills

Financial mathematics

Stochastic processes

Monte Carlo simulation

Strong communication skills

Education

Masters or PhD in a quantitative field

Tools

C++

Excel

Adaptiv Analytics

Murex

Job description

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Senior Counterparty Credit Risk Manager, London

Client:

JSS Search

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

10.06.2025

Expiry Date:

25.07.2025

Job Description:

This is a new Senior Counterparty Credit Risk Manager (Model Validator) role at a fast-growing bank based in London. The role offers hybrid working flexibility.

The successful candidate will join a high-performing Model Validation team responsible for validating quantitative models as part of the independent model validation process. The team acts as a second line of defence in the control structure, reporting to the Head of Model Validation. The role involves validating models used in the bank, including pricing and risk models.

Responsibilities include:

• Validating counterparty credit exposure and XVA models, including risk factor simulation models, backtesting, and calibration.
• Implementing benchmark models, including product-specific features like CSAs and netting.
• Reviewing models from a mathematical and implementation perspective, assessing their applicability, strengths, weaknesses, assumptions, and limitations.
• Documenting validation testing and findings, and following up with stakeholders on modelling issues.
• Participating in model validation of other risk models.
• Communicating with stakeholders and oversight bodies such as front office, risk, regulators, and auditors.
• Conducting validations with minimal supervision in line with regulatory expectations.
• Presenting validation documents in technical committees.
• Managing model risk, including monitoring and ongoing validation.
• Building relationships with key stakeholders in front office, finance, and risk functions.
• Responding to day-to-day requests while maintaining long-term objectives.

Ideal Candidate:

• Masters or PhD in a quantitative field.
• Advanced knowledge of financial mathematics, stochastic processes, and Monte Carlo simulation.
• Experience validating counterparty risk models (PFE and XVA).
• Knowledge of Basel III and SACCR standards.
• Understanding of CCR and XVA risk measurement and management.
• High-level cross-asset product knowledge.
• Proficiency in coding (preferably C++) and Excel.
• Experience with Adaptiv Analytics, Murex, or similar tools is a plus.
• Strong communication skills and ability to work independently.
• Flexibility to adapt to changing priorities and meet deadlines.