Data Scientist - Financial Crime

HSBC Group

Sheffield

On-site

GBP 40,000 - 75,000

Full time

8 days ago
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Job summary

HSBC is seeking a Technical Delivery Lead to drive production-grade AI and Agentic AI solutions for financial crime risk detection and investigations. You will lead cross-functional delivery, influence design decisions, and ensure compliant, timely releases in a regulated banking context.

Join HSBC’s Financial Crime Risk team to shape AI-driven investigations, collaborate across engineering, ML, product, and security, and deliver measurable outcomes with robust production support.

Qualifications

  • Delivery leadership for complex technology initiatives in regulated environments.

Responsibilities

  • Lead end-to-end delivery of production-grade AI and Agentic AI solutions for financial crime risk detection and investigation.
  • Contribute to solution design and build where needed, including LLM/agent workflow design, API/service integration, and evaluation harnesses.
  • Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controls.
  • Create clear decision packs with options and trade-offs across risk, cost, time, and value, and steer stakeholders to timely decisions.
  • Manage releases through build, test, deployment, and hypercare, while tracking benefits and outcomes.

Skills

Delivery leadership
Financial Crime domain experience
AI production delivery
Python
JVM
REST/gRPC APIs
Kubernetes
CI/CD
SQL
Data integration
Observability

Tools

Kubernetes
JVM
Python
REST
gRPC
CI/CD
SQL
Microservices
LLM
API

Job description

Salary: £40,000 - 75,000 per year

Requirements
  • Proven delivery leadership for complex technology initiatives in regulated environments
  • Financial Crime Risk domain experience (AML/sanctions/fraud/investigations) with evidence of operational adoption
  • Hands-on experience delivering AI solutions to production (GenAI/LLM and/or agentic patterns) with measurable operational outcomes
  • Strong technical grounding in several of the following: Python and/or JVM languages, REST/gRPC APIs, microservices, containers/Kubernetes, CI/CD, release management, SQL and data integration patterns (batch/stream), data quality controls, LLM/agent patterns, observability and production support
Responsibilities
  • Lead end-to-end delivery of production-grade AI and Agentic AI solutions for financial crime risk detection and investigation
  • Contribute to solution design and build where needed, including LLM/agent workflow design, API/service integration, and evaluation harnesses
  • Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controls
  • Create clear decision packs with options and trade-offs across risk, cost, time, and value, and steer stakeholders to timely decisions
  • Manage releases through build, test, deployment, and hypercare, while tracking benefits and outcomes
Technologies
  • Agentic AI
  • AI
  • API
  • CI/CD
  • Support
  • JVM
  • Kubernetes
  • LLM
  • Network
  • Python
  • REST
  • SQL
  • Security
  • gRPC
  • microservices
  • RAG
More

We are HSBC, one of the largest banking and financial services organisations in the world, with a network covering more than 50 countries and territories. We offer opportunities, support, and rewards to help you go further, along with tailored professional development opportunities and a competitive pay and benefits package for UK employees, including private healthcare, enhanced maternity and adoption pay, support on returning to work, and a contributory pension scheme with a generous employer contribution. We are committed to diversity, inclusion, and accessibility, and we take pride in being a Disability Confident Leader. In this role, you will join our Financial Crime Risk team as a Technical Delivery Lead, working on production-grade AI and Agentic AI solutions that support investigations and meet regulated-bank standards.

last updated 36 week of 2026

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