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Block · 2 months ago

Senior Data Scientist, Square Financial Services, Credit Policy

Bay Area, CA, United States of America

Full-time

Onsite

Senior Level

$198K/yr - $297K/yr

6+ years exp

Block is a company focused on economic empowerment, and they are seeking a Senior Data Scientist within the Credit Policy team of Square Financial Services. The role involves analyzing large datasets to inform product and credit strategy, collaborating with various teams, and ensuring regulatory compliance.

Financial Services

H1B Sponsor Likely

Responsibilities

Analyze large datasets using SQL and Python to surface actionable insights that directly inform our product and credit strategy that drive business decisions

Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior and loan performance

Partner closely with ML engineers throughout the modeling lifecycle to develop, deploy, evaluate, and monitor models and credit policies

Maintain and improve our systems for simulating the impacts of model/policy changes and the decision engine that implements those rules in production

Develop KPIs and measurement systems focused on credit resiliency and product performance monitoring

Build, visualize and report on metrics that drive strategy and facilitate decision making for key business initiatives

Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualification

SQLPythonData analysisData visualizationCredit risk managementStatistical modelingMathematical modelingCommunication skillsProblem-solvingCollaboration

Required

Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience

A background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field

Advanced proficiency with SQL and Python for data analysis

Advanced proficiency building product metrics in data visualization tools (e.g. Mode, Looker)

Direct experience in credit, lending, risk management, or financial services

Ability to turn unstructured business problems into concrete analyses that yield actionable insights and recommendations

Working understanding of core ML concepts, with a focus on usage in decision making

Benefits

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Modern family planning

Company

Block

Glassdoor3.9

Block is one company built from many blocks, all united by the same purpose of economic empowerment.

Founded in 1990

Oakland, California, US

10001+ employees

https://block.xyz/

H1B Sponsorship

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2022 (297)