Senior Data Scientist building statistical and ML/AI based solutions in the Compliance space. Involved in data modeling, analysis, and hands-on optimization for compliance programs.
Responsibilities
Conduct hands-on querying, analyzing, proposing and implementing optimization solutions
Conduct user acceptance testing and support business stakeholders’ enquiries on ad hoc basis
Collaborate with internal stakeholders across business units and regulated entities to enhance alignment in implementing MRM policy/standards
Supervise and work with the Model Risk Management team to support model validations across multiple business entities
Prepare technical documentation, including model architecture, implementation details and model methodology
Requirements
Bachelor's/Master’s Degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
At least 8 years of experience in data science, analysis, reporting, statistical analysis, research, data mining, trend analysis etc.
At least 8 years of experience in machine learning model development and implementation using tools like SAS, SQL, Python/R , Hive and/or Spark
Building predictive and descriptive statistical models using AI/ML algorithms (e.g., logistic regression, random forests, SVMs, XGBoost, CNNs/RNNs)
Compliance domain knowledge primarily for transaction monitoring, screening and client due diligence
Excellent knowledge of database management, data extraction and data manipulation skills
Superior communication, business writing and stakeholder management skills
Self-motivated and proactive in talking to business partners/clients to identify and understand problem statements
Passionate about building end-user experiences that deliver measurable value without increasing complexity
Willing to work on a flexible schedule across different time zones
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