Lead Quantitative Analytics Associate II Business Banking & Consumer Analytics

Location:

• Bachelors degree (or its equivalent) in statistics mathematics economics financial engineering data sciences predictive modeling or other quantitative disciplines and at least 2 years of relevant experience; 1 with Masters or PhD

• Understanding of and ability to:
  • Create data structures / transformations
  • Identify and capture different types of information for business needs or necessary for analysis
  • Data controls
  • Hypothesis testing / root-cause analysis
• Leverage and anticipate considerations in implementation

• Advanced Microsoft Office Suite
• Traditional (e.g. Linear Regression Logistic Regression) with the ability to design and optimize modeling evaluate challenge and validate model design and performance testing
• Intermediate Python/SQL:
  • Write and Read functions (Py) and Windows function (SQL)
  • Understand Data Import and Joins
  • Can build code controls and translate code into commentary

• Advanced modeling techniques including machine learning methods (e.g. XGBoost LightGBM Random Forest) with the ability to design and optimize modeling evaluate challenge and validate model design and performance testing
• Git
  • Can build strong code controls
  • Resolve Conflict
  • Work Collaboratively contributing to one Codebase
• Advanced Python/SQL:
  • Write and Read Class and Unite Test
  • Write and Read Advanced Windows functions
  • Can build strong code controls and translate code into high-level commentary
• Understanding of and ability to leverage:
  • Cloud-based computing
  • Distributed computing
• Agentic AI (LLM MCP RAG)

• Understanding of:
  • Model use requirements and implementation needs
  • Testing for deterioration and model health
  • fundamental concepts of Machine Learning
  • How statistical measurements are used
• Ability to:
  • Produce and identify information through statistical analysis
  • Effectively explain model insights to peers and analytics community
• Identify preferred approach given the problem statement
• Understanding of:
  • Model Risk Management process and foundations
  • Scale concepts of Machine Learning
• Advanced data techniques for modeling frameworks

• Leadership: Some self-direction likely will need some guidance and supervision; Starting to anticipate possible business problems improving something that already exists
• Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or working group level; Building influencing skills; demonstrated in area of expertise or assigned LOB
• Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
• Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the why question; Starting to understand impacts / intersections with others
• Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

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