Senior Data Scientist

As a Senior Data Scientist, you will conceptualize, develop, and execute statistical, mathematical, and econometric models for business decision making, risk assessment, and strategic initiatives. You will be responsible for financial planning models, fraud detection models, customer analytics, credit risk management, and asset liability management. This position will also assist in addressing model validation requirements, including remediation of validation findings.

Responsibilities:

• Social media images and text mining to build models for strategic business direction for the company's financing program. Provide analysis and deliver insights from the model.
• Build solutions and scenarios with creativity to support decision making.
• Identify opportunities to apply quantitative methods to improve efficiency and outputs.
• Develop a model monitoring plan, monitor statistical model performance, and provide technical guidance to business leadership.
• Maintain sustainable model code and follow best practices for collaboration and version control.
• Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions.
• Analyze trends and connect data in new and innovative ways.
• Communicate results, explain the behavior of models, and set appropriate expectations with stakeholders.
• Act as a backup for the technical manager.

Minimum Requirements:

• Bachelor's Degree/Post Graduate Diploma/Professional Degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.
• At least 5 years of work experience as a model developer or model validator at a bank, financial firm, or credit bureau agency.
• Knowledge of stress testing and regulatory requirements related to model risk management.
• Experience with industry best practice modeling techniques and demonstrable skills in prototyping, benchmarking, and empirical analysis.
• Experience with credit risk models and consumer banking models preferred.
• Working knowledge of R/Python/SAS/SQL or other advanced statistical/econometric analysis software.
• Ability to forge strong partnerships with business units across the bank or financial firm.