Financial Crime Data Analytics Manager

GoHenry; England; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Work from Home options

Birthday Day Off

33 days holiday including public holidays

Health Cash Plan or Private Medical

Death in service coverage

Family-friendly leave policies

Enhanced maternity and paternity leave

Family-friendly leave

Job summary

A leading fintech firm in the UK seeks a Financial Crime Data Analytics Manager. You will lead a team focusing on enhancing fraud and AML processes, ensuring data-management standards, and providing insights to stakeholders. The ideal candidate has a strong background in fraud prevention, experience with transaction risks, and proficiency in analytical tools. This hybrid role offers flexibility with a mix of office and remote work.

Qualifications

• Experience in teams delivering transformation of systems/processes.
• Strong background in fraud prevention and insightful data analytics advice.
• Expertise in card payments and transaction risks associated with them.
• High proficiency in Google Suite, SQL, XML, and visualization tools.
• High proficiency in Google Suite, SQL, XML, and visualization tools.
• Self-starter who kick-starts projects, welcomes challenges, seeks feedback and perseveres on long-term goals.

Responsibilities

• Lead a team within the Financial Crime function.
• Ensure adherence to data-management standards.
• Provide data insights to board members and external partners.
• Enhance fraud-risk-management models.
• Provide data reports sourced from transactional data.
• Build relationships with internal and external stakeholders to meet business objectives.
• Ensure timely monthly Fraud and AML reporting.
• Collaborate with Compliance to document and test controls.

Skills

Fraud prevention activities

Google Suite products

SQL

XML

Visualisation tools

Transforming systems/processes

Strategic thinking

Card payments knowledge

Tools

SQL

XML

Google Suite

Job description

Financial Crime Data Analytics Manager

GoHenry is a UK‑based fintech company created by parents to pioneer financial education. We have expanded across Europe and the US, partnering with PixPay and Acorns to serve over 6 million members in five countries. We empower families with engaging money‑management tools, educational content, and a seamless product experience that creates financial well‑being from birth to adulthood.

Role Overview

We are looking for an experienced and self‑driven Financial Crime Data Analytics Manager to lead a team within the Financial Crime function. You will ensure adherence to GoHenry’s data‑management standards, focus on transaction analytics, oversee the internal fraud‑risk‑management model, transform fraud and AML processes, and provide data insights to board members and external partners.

In this permanent full‑time role (37.5 hours a week) you will report to senior management and have one direct report. Flexibility to work various hours is required to meet member service needs. The position can be based out of London or Farnborough on a hybrid basis, with travel to Farnborough required.

Responsibilities

• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Contribute to the development of the overall strategy for delivering a new, long‑term, fit‑for‑purpose payment‑systems infrastructure.
• Identify any new technologies that could be implemented to improve our Financial Crime framework.
• Monitor and identify opportunities to iterate and enhance our in‑house fraud‑risk‑management model that would help manage risk exposure within appetite.
• Provide immediate and wider management with insightful data reports sourced from transactional data.
• Create solutions based on sophisticated analytical thought, selecting complex alternatives and performing in‑depth analysis with interpretative thinking.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives.
• Ensure all monthly partner Fraud and AML compliance reporting is completed in full and on time.
• Work with the wider Financial Crime team and Compliance team to ensure business systems and controls are adequately documented and tested.

Qualifications

• Experience working in teams delivering transformation of systems/processes.
• A strong background in fraud prevention activities and providing insightful data analytics advice.
• The ability to think strategically and deliver detailed changes at a practical level.
• Expert knowledge of card payments and payment systems, and experience with transaction risks associated with them.
• High proficiency required in Google Suite products, SQL, XML, and visualisation tools.
• A self‑starter who is motivated to kick‑start projects, welcomes challenges, seeks feedback, asks “How can I help?” and “How can we make this better?” and shows perseverance on long‑term goals.

Benefits & Perks

All the essentials you would expect, including a workplace pension plan, 33 days of holiday (including public holidays), and great company events locally and abroad.

• GoFlex – Work from Home, Office, or a mix of both
• Birthday Day Off
• 25 days annual leave, in addition to 8 UK bank holidays
• Excellent induction & onboarding program with ongoing learning & development throughout your career
• Choice between Bupa Health Cash Plan or Bupa Private Medical
• Death in service – 4× your annual salary from month 1
• Physical and Mental Wellbeing support and platforms for you and your family
• Family‑friendly leave policies
• Enhanced maternity leave – 20 weeks full basic pay after 2 years’ service and 26 weeks full basic pay after 3 years’ service
• Paternity leave – 4 weeks full pay after probation
• Salary sacrifice options

Equal Opportunity Statement

GoHenry is an equal‑opportunity employer, and we’re on a mission to foster a diverse & inclusive workplace. Individuals seeking employment at GoHenry are considered without regard to race, religion, national origin, age, sex, gender identity, sexual orientation, marital status, medical condition, ancestry, disability, veteran status, or any other characteristic protected by applicable law.