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Data Science Lead - Job Opportunity at Sumitomo Mitsui Banking Corporation

North Carolina, USA
Full-time
Senior
Posted: February 3, 2025
Remote
USD 158,000 - 198,000 per year

Benefits

Competitive annual discretionary incentive award
Comprehensive benefits portfolio aligned with major financial institutions
Professional development opportunities within global banking organization
Work-life flexibility with remote arrangement
Access to enterprise-level resources with startup agility

Key Responsibilities

Lead development of advanced credit risk models utilizing traditional and alternative data sources
Drive regulatory compliance and model validation processes
Shape strategic direction of data science initiatives across risk management
Build and mentor high-performing data science teams
Establish data science best practices and innovation culture
Direct cross-functional collaboration with Risk, Engineering, Product teams

Requirements

Education

Bachelor's degree in mathematics, finance, industrial engineering, statistics, data science, or related discipline; master's preferred

Experience

7+ years of experience, with at least 4 years in Consumer financial services industry or PhD with 5+ years professional experience

Required Skills

Statistical modeling methodologies ML and logistic regression Advanced data analysis Reject inferencing Python SQL GCP and Vertex AI Power BI or Looker Credit risk modeling Alternative data analysis Cross-functional leadership Communication skills
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Sauge AI Market Intelligence

Industry Trends

Digital banking transformation driving increased demand for advanced risk modeling capabilities Integration of alternative data sources reshaping traditional credit decisioning Regulatory focus on model risk management creating premium for documentation expertise Convergence of traditional banking and fintech approaches in risk assessment

Salary Evaluation

The offered range of USD 158-198K is competitive for senior data science roles in digital banking, reflecting the specialized nature of credit risk modeling and regulatory expertise required. Top performers could command up to USD 220K with bonus potential.

Role Significance

Likely leading a team of 3-5 data scientists with matrix management across risk and analytics functions
Senior leadership position with significant influence on credit risk strategy and model governance

Key Projects

Credit underwriting model development incorporating alternative data Portfolio risk management strategy implementation Regulatory model validation frameworks Credit decisioning automation initiatives

Success Factors

Deep understanding of regulatory requirements in model risk management Ability to balance innovation with compliance requirements Strong stakeholder management across technical and business teams Track record of implementing production-grade credit risk models

Market Demand

High demand with growing emphasis on digital transformation in banking and increasing regulatory scrutiny of AI/ML models

Important Skills

Critical Skills

Credit risk modeling expertise crucial for core business strategy Regulatory compliance knowledge essential for model governance Leadership skills vital for team development and stakeholder management

Beneficial Skills

Knowledge of emerging alternative data sources Experience with cloud platforms and MLOps Understanding of digital banking customer journey

Unique Aspects

Rare opportunity to shape credit risk modeling in a new digital bank backed by major global institution
Balance of startup culture with enterprise resources
Focus on alternative data integration in traditional banking context

Career Growth

2-3 years in role before progression to executive positions, depending on business growth and success of credit strategy implementation

Potential Next Roles

Chief Risk Officer Head of Analytics Director of Credit Strategy VP of Data Science

Company Overview

Sumitomo Mitsui Banking Corporation

SMBC is leveraging its global banking strength to create a digital-first banking presence in the US market

Part of the 12th largest bank globally, with significant resources for digital transformation
Strategic US market expansion with focus on digital banking innovation
Blend of traditional banking stability with startup-like agility in digital initiatives
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