Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- 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
Job title
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Not specified
Degree requirement
Tech skills
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