# Analytics Engineering - Team Lead (Fraud & AML)

**Company**: Starling Bank
**Location**: Southampton, England
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://apply.workable.com/j/01018F02BC?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4f8100b-9a4

## Description

Starling Bank is looking for an Analytics Engineering Team Lead to join their Fraud & AML team.

As a Team Lead, you will manage and develop a team of analytics engineers, work closely with stakeholders to understand and prioritize key business needs, and own and improve a large analytics estate serving many different business functions.

Responsibilities:

- Manage and develop a team of analytics engineers

- Work closely with stakeholders to understand and prioritize key business needs

- Own and improve a large analytics estate serving many different business functions

- Lead and deliver multiple workstreams end-to-end

- Ensure quarterly priorities are delivered alongside standing work and ad hoc requests

- Maintain Fraud & AML-related regular reporting

- Support data science and ML model development and monitoring

Requirements:

- Extensive analytics engineering background with expert SQL and data modelling skills

- Hands-on experience with dbt (or similar framework) to build well-structured, tested, and maintainable data models

- Proficiency with Looker or a comparable BI tool

- Track record of managing, supporting, and developing analytics engineers

- Strong project management capabilities, including prioritizing incoming work and delivering cross-functional data initiatives

- Excellent communication and documentation abilities

- Solid understanding of data governance and risk management

Desirable Requirements:

- Experience working with fraud, AML or financial crime data

- Experience in a regulated financial services environment

- Experience with cloud data warehouses and CI/CD

- Experience with Git and peer-review workflows

Benefits:

- 33 days holiday (including public holidays)

- An extra day's holiday for your birthday

- Annual leave is increased with length of service

- 16 hours paid volunteering time a year

- Salary sacrifice, company enhanced pension scheme

- Life insurance at 4x your salary & group income protection

- Private Medical Insurance with VitalityHealth

- Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton

- Generous family-friendly policies

- Incentives refer a friend scheme

- Perkbox membership

## Skills

### Required
- SQL
- data modelling
- dbt
- Looker
- project management
- data governance

### Nice to have
- fraud
- AML
- financial crime data
- cloud data warehouses
- CI/CD
- Git

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Source: [Apply at apply.workable.com](https://apply.workable.com/j/01018F02BC?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)