Data Scientist
16 hours ago
Description
• This is a Contract role for 3 to 6 months. • The Risk Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making. • The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation. • Developing complex business rules to research and apply state of the art machine learning modeling methodologies. • Your work will have a direct and immediate impact on the business’ profitability. • Develop, implement, and continuously improve machine learning models and strategies that support various credit, risk, and operational procedures. • Proactively identify opportunities to apply advanced machine learning approaches. • Explore and leverage in-house, external, and other open-source machine learning software/algorithms. • Collaborate with Model Risk Management team to ensure rigorous model development. • Work closely with Product and Engineering teams for model deployment. • Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking. • Present model performance and insights to Credit, Risk, and Business Unit leaders.
Requirements
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. • 2 to 3 years of relevant work experience with building and implementing machine learning models • Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. • Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.) • Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. • Effective communication skills and ability to explain complex models in simple terms • Experience in a financial organization • Experience with model documentation and delivering effective verbal and written communication • Experience in working closely with Product, Engineering, and Model Risk Management teams • Experience with AWS or GCP • Solid knowledge of leveraging graph neural networks or Gen AI to solve some practical problems • Experience with graph databases
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