At a Glance
- Tasks: Lead the design and build of a cutting-edge Financial Crime data platform.
- Company: Join a leading organisation transforming its Financial Crime technology landscape.
- Benefits: Competitive salary up to £120k, bonus, and hybrid working model.
- Other info: Collaborative environment with opportunities for professional growth and AI-driven projects.
- Why this job: Make a real impact in financial crime prevention with innovative data solutions.
- Qualifications: Strong SQL, Python, and experience in data engineering or architecture.
The predicted salary is between 100000 - 120000 £ per year.
We are currently working with a leading organisation undergoing a major transformation of its Financial Crime, Risk and Compliance technology landscape. As part of this journey, they are looking to hire a Financial Crime Data Lead to play a central role in designing and building a new enterprise-wide Financial Crime data platform that will underpin key capabilities including transaction monitoring, client screening, onboarding, risk assessment and future AI-driven decision making.
The Role
- Data Engineering
- Financial Crime Data Architecture
- Governance
- AI Enablement
You’ll be responsible for creating a trusted Financial Crime data layer that brings together multiple systems and data sources into a single foundation supporting reporting, controls, workflow automation and analytics.
Key Responsibilities
- Design and deliver the Financial Crime data platform and canonical data model
- Integrate data from onboarding, CRM, screening, monitoring and compliance systems
- Build and maintain scalable data pipelines using modern cloud technologies
- Develop trusted datasets supporting KYC, AML, transaction monitoring and risk processes
- Implement data quality, lineage, governance and reconciliation controls
- Create MI and reporting solutions that provide visibility of alerts, investigations, risk trends and operational performance
- Support future AI and automation initiatives through AI-ready data products
- Partner with Compliance, Risk, Operations and Technology teams to define and deliver data requirements
- Establish data engineering standards, documentation and governance frameworks
Key Skills & Experience
- Strong SQL and Python experience
- Commercial Snowflake experience (or equivalent modern cloud data platform)
- Data Engineering, Data Architecture or Data Product leadership background
- Experience building complex integrations, APIs and data pipelines
- Financial Crime Experience Including Areas Such As KYC, AML, Transaction Monitoring, Screening, Risk Ratings, Compliance, Case Management
- Strong data governance, lineage and data quality experience
- Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling
- CI/CD, Git and modern engineering practices
- Strong stakeholder engagement and communication skills
Data Lead (Financial Crime) employer: Data Science Jobs UK
At Synthesia, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. As a Remote Staff Research Engineer, you'll have access to cutting-edge resources and opportunities for professional growth, all while working from the comfort of your own home. Join us in shaping the future of multimodal generative AI, where your contributions will be valued and recognised in a dynamic and supportive environment.
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We think this is how you could land Data Lead (Financial Crime)
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We think you need these skills to ace Data Lead (Financial Crime)
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