Senior VP – Credit Risk SME / Developer

Morgan McKinley; Greater London; Hybrid; GBP 150,000 - 210,000; Full time

Job summary

Morgan McKinley is seeking a Senior VP-level Credit Risk Analytics Tech Lead in London to shape architecture, drive delivery and lead cross-functional teams across Risk, Technology and Front Office.

The role focuses on PFE analytics, credit risk pricing, and the application of AI within a major risk platform, with hybrid working in London.

Qualifications

• Senior engineering professionals with deep Credit Risk or PFE domain expertise.
• Ability to lead architecture and delivery across large-scale risk platforms.

Responsibilities

• Lead implementation of Potential Future Exposure (PFE) analytical solutions.
• Define technology strategy and architecture for Credit Risk Analytics.
• Lead development and delivery across large-scale applications.
• Work across feeds, data processing, pricing and reporting.
• Support regulatory change and evolving risk requirements.
• Provide technical leadership across distributed engineering teams.
• Translate business and risk requirements into scalable technology solutions.
• Identify opportunities to apply AI and emerging technologies within Credit Risk Analytics.

Skills

Strong engineering capability

Credit Risk / PFE domain

Technical leadership

Architectural design

Stakeholder engagement

Tools

NET Core API

SQL Server

Python

Kafka

Spark

Redis

HBase/HDFS

Job description

I’m working with a leading global financial institution that is expanding its Credit Risk Analytics Technology capability in London.

This is a senior technology role sitting at the intersection of Credit Risk, quantitative analytics and software engineering. The successful candidate will combine strong hands-on development capability with deep knowledge of Credit Risk and PFE analytics, helping shape the technology strategy and delivery of a critical risk platform.

The Role

You will act as a senior Credit Risk SME / Technology Lead, contributing to the architecture, development and rollout of Credit Risk Analytics solutions while working closely with Risk, Technology and Front Office stakeholders.

The role includes responsibility for:

• Leading the implementation of Potential Future Exposure (PFE) analytical solutions
• Defining technology strategy and architecture for Credit Risk Analytics
• Leading development and delivery across large-scale applications
• Working across feeds, data processing, pricing and reporting
• Supporting regulatory change and evolving risk requirements
• Providing technical leadership across geographically distributed engineering teams
• Working closely with business and risk stakeholders to translate requirements into scalable technology solutions
• Identifying opportunities to apply AI and emerging technologies within Credit Risk Analytics

Technical Environment

The core development stack includes:

• .NET Core Web API
• SQL / SQL Server
• Python
• Microservices
• Kafka / messaging
• Spark
• Redis
• HBase / HDFS

This is where the role becomes particularly specialised.

You should have strong practical knowledge of Credit Risk pricing and PFE, including areas such as:

• Counterparty Credit Risk
• Potential Future Exposure (PFE)
• Netting
• Repos
• MBS
• Stock Borrow / Lending

Experience with S&P Global Financial Risk Analytics / fraimWRX would be particularly relevant.

Exposure to Market Risk technologies such as VaR, Stress Testing or FRTB would also be advantageous.

What We're Looking For

We're interested in senior engineers, technical leads, architects and Credit Risk technology specialists who can demonstrate both:

1. Strong engineering capability

and

2. Genuine Credit Risk / PFE domain expertise

This is not a role for someone who simply has C# experience and has worked adjacent to Risk.

You should be comfortable operating as a technical SME, engaging with senior stakeholders and taking ownership of architecture and delivery across complex Credit Risk technology.

Why This Role?

You will have significant exposure to a major Credit Risk Analytics transformation, working across technology, quantitative risk and engineering rather than operating within a narrow development remit.

There is also scope to influence how AI and modern engineering practices are applied within the Credit Risk technology environment.

Location: London

Working model: Hybrid

Level: Senior VP

If you have a background spanning Credit Risk / PFE and senior software engineering, I'd be interested in speaking with you.

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