Consultant / MRM AML

Join Our Team: Model Risk Management Financial Crime Analytics

Deloitte

qualitative assessments and quantitative modeling

What You’ll Do

In this role, you'll contribute to cutting-edge financial crime risk initiatives and support leading global banks in strengthening their risk modeling frameworks.

Key Responsibilities:

• Develop and maintain

  Financial Crime models

  , including AML Feeder Models and Sanction Screening Models, using statistical methods and robust documentation practices.
• Tackle complex

  data analytics problems

  in risk management and deliver actionable insights to enhance risk tools.
• Apply deep

  quantitative and conceptual expertise

  to design, validate, and enhance risk models aligned with banking regulatory standards.
• Use programming tools such as

  Python, R, SAS, and SQL

  for model development and deployment.
• Translate complex modeling concepts into simple language for diverse stakeholders — from executives to technical experts.
  
• Create

  technical documentation

  , model validation reports, and regulatory submissions.

Required Skills & Experience

• Sound understanding of

  statistical and mathematical concepts

  : regression, classification, time series, hypothesis testing, distribution analysis, A/B testing, performance monitoring, etc.
• Hands-on experience with

  AI/ML techniques

  : ANN, Decision Trees, Ensemble Methods (e.g., XGBoost).
• Experience with

  vendor-based AML systems

  and models (e.g., Event Processor Next Gen, Quantifind, Customer Risk Assessment).
• Expertise in

  Financial Crime Case Generation Analytics

  .
• Proficient in

  R, Python, SAS, SQL

  , with experience deploying models into production and performing data calibration.
• Understanding of

  AML and sanction screening

  regulatory frameworks.
• Strong skills in

  technical writing

  , executive reporting, and stakeholder communication.
• Exceptional

  time management and multitasking

  ability in a dynamic, global work environment.
• Flexibility to work with

  US/UK counterparts

  during extended or overlapping shifts.

Preferred Skills

• Solid

  data science foundation

  with an understanding of end-to-end data pipelines and model lifecycles.
• Experience working in a

  banking or consulting environment

  , ideally on financial crime or risk analytics projects.

Qualifications

• Bachelor’s

  ,

  Master’s

  , or

  Ph.D.

  in a relevant quantitative field (e.g., Statistics, Mathematics, Financial Engineering, Computer Science, or related disciplines).