We have an exciting and rewarding opportunity for you to advance your AI-ML modeling career in our Finance Modeling team.

As an AI-ML Modeler in the Finance Modeling team, you design and deliver innovative models that support informed decision-making and business growth. You collaborate with diverse teams and contribute to the firm’s success through advanced analytics and model development.

Job Responsibilities

• Identify data anomalies and cases requiring further investigation during model development

• Perform advanced quantitative and statistical analysis of large datasets to uncover trends and insights

• Prepare and clean modeling datasets for analysis

• Build statistical, econometric, or machine learning models for budgeting, financial analysis, regulatory requirements, and pricing decisions

• Communicate analytical results to Finance partners, modeling teams, and Model Governance

• Mentor team members in model development and effective communication of results

Required qualifications, capabilities, and skills

• Graduate degree (M.S. or Ph.D.) in Statistics, Economics, Mathematics, Operations Research, Engineering, or Computer Science
• Hands-on experience of 5 + years of model development
• Proficient in Python or R or Scala, with strong programming and development skills
• Experience developing budget, regulatory (CCAR), and PPNR models for deposit growth, fee revenue, and wealth management portfolios
• Experience with statistical and econometric modeling techniques, including time series, panel data, Bayesian, and non-parametric methods
• Strong foundation in machine learning theory and end-to-end development, including NLP, computer vision, or reinforcement learning
• Proficient in big data processing tools such as Spark or Hadoop and Unix operating systems
• Ability to communicate complex concepts effectively with non-technical stakeholders
• Proven ability to create price elasticity models for deposit and loan products (Auto, Home Lending, Cards), and implement scalable machine learning and big data frameworks, including model-based automatic machine learning.
• Deep understanding of machine learning explainability to support risk control and regulatory compliance, promoting transparency and robust risk management.

Preferred qualifications, capabilities, and skills

• Hands-on experience in budget and regulatory (CCAR) modeling for Deposit/Wealth Management or lending products
• Experience with machine learning models and familiarity with Gen AI applications
• Expertise in Python, with knowledge of Py Spark or Tensor Flow
• Excellent written and oral communication and presentation skills
• Scalable Machine Learning / Big data framework