National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Owner - Credit Risk Stress Testing

London
1 month ago
Create job alert

Product Owner - Credit Risk Stress Testing - 12 month FTC (strong likelihood of extension) - £100/110k 

SoCode are delighted to be partnering with a business at the forefront of software innovation and digital transformation, their client -
a Tier 1 Bank are on the lookout for an exceptional Product Owner with direct Credit Risk Stress Testing experience.

A perfect blend of Agile Product Ownership and Business Analysis, this role serves as a key interface between the business and a cross-functional technology team. 

Domain expertise is absolutely essential for this role as candidates will have to demonstrate a clear understanding at interview stage experience in Credit Risk Stress Testing and Risk Methodologies for PD (Probability of Default), LGD (Loss Given Default) and RWA (Risk Weighted Assets) Calculations.

What are the key responsibilities for this role?

Act as a Product Owner for the scrum team - owning the backlog and prioritising features in collaboration with stakeholders.
Perform business analysis and write clear, structured user stories and acceptance criteria.
Interpret complex requirements from the credit risk and stress testing business units.
Liaise with credit risk model team and interpret requirements covering modelling and data
Engage in Agile ceremonies and contribute to continuous delivery practices.
Perform functional and data analysis with hands-on data investigations using SQL.
Ensure alignment between technical teams and business goals.
Communicate effectively across business and technology stakeholders.What skills can I bring to this role?

Prior experience working for global financial institutions or Tier 1 banks
Deep understanding of risk methodologies (as listed above)
Proven experience in Credit Risk - Stress Testing
Soft Skills - stakeholder management, communication skills
Technical competency - writing SQL for data analysis, understanding of cloud data platforms
Experience working with Agile delivery teams (Scrum, SAFe)Benefits include:

25 days holiday plus bank holidays
pension
Death in service (4x salary)
Dental 
Private medical
flexible working policy - 2 days on siteInterested in the role? Then you can either:

Submit your CV by clicking ‘apply now’ – We appreciate that you may not have an updated CV in-hand, send what you have, and we can discuss further.
Connect with me on LinkedIn for an informal discussion – Ricardo Dacosta at Socode
Call our Cambridge office phone number – Google Socode Cambridge, call the number and ask for Ricardo

Related Jobs

View all jobs

Product Owner

Product Owner - Credit Risk Stress Testing

Senior Data Business Analyst

Senior Data Business Analyst

Senior C# Developer Bank

Senior Backend Developer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.