Fraud Product Owner

Manchester
3 days ago
Create job alert

Join us as a Fraud Product Owner

Build your career as an influential fraud data and analytics leader and evangelist

You’ll lead a cross functional team of data scientists, engineers, analysts and technologists to deliver impactful and innovative change projects transforming the way in which we protect our customers and the bank from fraudsters

This is a chance to collaborate with wider business and peers to deliver on the joint fraud and bank vision and help transform and deliver our team’s culture

What you'll do

In this role, you’ll bring the point of view of our customers, end users or stakeholders to the forefront of understanding the product vision set by you and the bank. With exceptional leadership skills, you’ll drive your team towards this vision, regularly stopping along the way to check-in, adjust, calibrate and move forward.

We’ll also look to you to make sure that stories and enablers meet acceptance and quality criteria, keeping them in-line with the vision, features and programme increment objectives.

Your responsibilities include:

Setting a vision, strategy and roadmap for your team, driving delivery against commercial and business targets maximising return on investment

Leading and supporting the development of your feature teams by prioritising features, answering questions and removing blockers

Making sure that the backlog is maintained, and that your delivery teams are frequently collaborating with customers or users to populate and refine the backlog

Helping to drive programme iteration objectives at a team or enterprise level, and coordinating with other product owners and system teams

Owning a product vision and roadmap, inspiring and motivating your team to deliver cutting edge, data driven fraud prevention solutions

Tracking and reporting progress, and attending any retrospective, spanning all delivery teams that are involved with delivering the product

The skills you'll need

We’re looking for a creative thinker, with a good understanding of Agile methodologies and experience of working in an Agile team. You’ll need to be able to relate your everyday work to the broader strategic vision set for your feature team, along with the ability to maintain a strong focus on business outcomes. And, you’ll have excellent communication and influencing skills.

You’ll also need:

Knowledge or experience of working with modern cloud technologies, streaming pipelines and data science platforms

Experience leading product deliveries from concept to production across data and fraud domains such as orchestration systems, data science models and data lakes

The ability to convey complex technical topics to a non-technical audience through storytelling

Commercial and business acumen to drive an entrepreneurial mindset within the team

Experience of changing team or department mind-sets, culture and structure whilst maintaining strong drive and motivation

Related Jobs

View all jobs

Fraud Product Owner

Fraud Product Owner

Fraud Product Owner

Data Protection Officer

Forensic Financial Data Analyst (Assistant Manager)

Stock Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Data‑Engineering Jobs for Non‑Technical Professionals: Where Do You Fit In?

Building the Data Highway Needs More Than Coders When you hear “data engineer,” you might picture someone wrangling Spark clusters and writing Terraform scripts. Yet, just as motorways rely on planners, surveyors and safety inspectors, modern data platforms need strategists, product owners, quality guardians and communicators. Deloitte’s UK Data Talent Study 2024 found that 38 % of open “data‑engineering” vacancies are primarily non‑technical, focusing on governance, quality, programme delivery and stakeholder alignment. With British organisations investing an estimated £24 billion in data modernisation through 2026 (Gartner), demand for professionals who can translate business objectives into data strategy has never been higher. If you excel at process design, storytelling or change management, this guide shows where you fit in—no SQL required.

Atos Data‑Engineering Jobs in 2025: Your Complete UK Guide to Architecting the Backbone of Digital Transformation

From building the data lake that powers the 2024 Paris Olympic Games to operating one of Europe’s fastest exascale supercomputers, Atos (and its digital spin‑off Eviden) sits at the heart of large‑scale data transformation. The company’s Big Data & Security and Digital Business Platforms units design, build and run cloud‑native analytics stacks for governments, telecoms, financial services and retailers worldwide. With the split of infrastructure services into Tech Foundry and digital/AI into Eviden completed in January 2025, Atos is doubling down on data engineering talent. The Atos careers site currently lists 400+ UK vacancies, more than 150 tagged “Data & AI”. Whether you’re a Python‑Spark aficionado, an ELT wizard on Azure Synapse, or a solution architect who can turn legacy mainframe feeds into real‑time dashboards, this guide explains how to land an Atos data‑engineering job in 2025.

Data Engineering vs. Data Science vs. Data Analytics Jobs: Which Path Should You Choose?

In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.