Lead Data Scientist

Quick Facts

• Reports into: Director of Data Science & Analytics
• Team focus: Financial Services Analytics (client-facing)
• Work style: Hybrid; regular virtual work plus in-person at an assigned office location at least two days a week

Description

You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for B2B customers in the US financial services segment.

Responsibilities

• Lead analytic client engagements using descriptive, predictive, and prescriptive analysis across the consumer lending portfolio lifecycle
• Develop predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks
• Leverage techniques such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis
• Design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using R, SAS, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms
• Deliver analytic insights and recommendations in succinct presentations for internal/external and executive audiences
• Develop project proposals, sales presentations, and promotional collateral to enable adoption of integrated customer solutions
• Identify strategies and opportunities for customers to test and adopt analytic products and services
• Mentor and train junior colleagues and maintain progress under limited direct supervision

Requirements

• Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
• Track record of academic excellence
• At least four (4) years of professional experience performing analytic work in Financial Services or related industries
• Multiple examples of demonstrated success in client-facing roles over at least three (3) years
• Advanced programming skills with mastery of R or SAS
• Experience using other programming and data manipulation languages: SQL, Hive, Pig, Python, C/C++ or Java
• Familiarity with relational, MPP, and/or Hadoop data management frameworks
• Proficiency with Microsoft Office tools
• Strong project management skills to manage multiple assignments effectively

Benefits

• Medical, dental, and vision coverage (day-one eligibility) and supplemental options; dependent coverage on select plans; tax-advantaged HSA and FSA accounts
• Company-paid basic life and AD&D; optional voluntary life and AD&D; short- and long-term disability; legal plan; pet insurance; travel accident coverage
• Adoption assistance, fertility planning coverage, caregiver support; Dependent Care FSA; Care@Work membership; up to 12 weeks paid parental leave
• 401(k) with employer match; Employee Stock Purchase Plan (ESPP); financial wellness resources and career coaching; optional long-term care insurance
• Tuition reimbursement; flexible time off; paid time off and up to 12 paid holidays; commuter benefits; employee discounts; charitable gift matching; paid volunteer time off; corporate volunteer events
• 24/7 support including therapy, coaching, and emotional well-being programs; guided meditation and resources for physical, mental, social, and financial wellness