All Locations
London

About The Role

FDM is a global business and technology consultancy seeking a Lead Developer for Financial Crime Prevention Models to work for our client within the Financial Services sector. This is initially a 3-month contract with the potential to extend and will be a fully remote role based in London.

Our client is seeking an experienced Financial Crime and Model Development professional to lead the development, validation and governance of Transaction Monitoring models. This role will play a key part in enhancing the effectiveness of Financial Crime controls through robust model design, governance, validation and continuous improvement. The successful candidate will work closely with analytics, model risk, compliance and technology teams to ensure models are effectively designed, documented, monitored and aligned with regulatory expectations.

Responsibilities

  • Lead the development, validation and optimisation of Transaction Monitoring models to support Financial Crime detection and prevention.
  • Own model governance activities, including validation assessments, model reviews and implementation of feedback from second-line risk and compliance functions.
  • Define and execute model development strategies, balancing analytical rigour, regulatory requirements and operational constraints.
  • Produce and maintain high-quality model documentation, including methodology, assumptions, limitations and validation outcomes.
  • Support the design and execution of model testing, experimentation and analytical methodologies to improve model performance.
  • Develop and implement model governance frameworks, standards and operating procedures covering model lifecycle management.
  • Establish best practices for model monitoring, calibration, tuning and performance measurement.
  • Provide technical leadership and mentorship to analytics teams, supporting model design, testing and implementation activities.
  • Collaborate with stakeholders across Financial Crime, Risk, Compliance and Technology functions to deliver effective model solutions.
  • Represent the organisation professionally in engagements with internal and external stakeholders, including audit, regulatory and governance forums.

About You

  • Advanced degree in Computer Science, Statistics, Mathematics, Actuarial Science, Data Science or a related quantitative discipline.
  • Experience within Financial Crime, AML or Transaction Monitoring environments.
  • Experience as a Model Validator, Quantitative Risk Analyst, Data Scientist or Model Governance Specialist is highly desirable.
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets and model outputs.
  • Organised, proactive and able to manage multiple priorities in a dynamic environment.
  • Excellent written communication skills, including academic, technical or regulatory documentation.
  • Minimum of 5+ years' experience in Model Development, Quantitative Analytics, Data Science, Financial Crime Analytics or Model Risk Management.

About Us

FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. 
 
Diversity and Inclusion
 
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

 
Why join us
 
  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
  • Annual leave and work-place pension

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