Hiring: Financial Crime Data & Technology Lead

Hiring: Financial Crime Data & Technology Lead

Full-Time 59400 - 72600 Β£ / year (est.) No working from home possible
Cosegic Limited

At a Glance

  • Tasks: Lead data-driven projects to combat financial crime and enhance compliance.
  • Company: Join FINTRAIL, a leader in financial crime prevention and technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on impactful solutions.
  • Why this job: Make a real difference in the fight against financial crime using innovative technology.
  • Qualifications: Strong knowledge of AML regulations and experience in data architecture.

The predicted salary is between 59400 - 72600 Β£ per year.

FINTRAIL is seeking an Associate Director, Financial Crime (Data and Technology) to lead data-centric and technology-enabled engagements across the financial crime spectrum. You will partner with payments firms, banks and regulators to assess risk, design analytic models and implement monitoring systems, blending advisory strategy with hands-on delivery.

The role requires strong knowledge of AML and financial crime regulations in the UK and EU, experience in data architecture, ML/AI concepts.

Hiring: Financial Crime Data & Technology Lead employer: Cosegic Limited

At FINTRAIL, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team members benefit from continuous professional development opportunities, competitive remuneration, and the chance to work at the forefront of financial crime prevention in a dynamic environment. Located in the heart of the financial district, we offer a unique blend of flexibility and engagement, making it an ideal place for those looking to make a meaningful impact in the industry.

Cosegic Limited

Contact Details:

Cosegic Limited Recruitment Team

We think you need these skills to ace Hiring: Financial Crime Data & Technology Lead

Financial Crime Regulations
AML Knowledge
Data Architecture
Machine Learning Concepts
Artificial Intelligence Concepts
Risk Assessment
Analytic Model Design