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Staff Pricing Analyst

$153,600 - $264,000/Yr

Sofi - Seattle, WA

posted 21 days ago

Full-time - Senior
Remote - Seattle, WA
Credit Intermediation and Related Activities

About the position

We are seeking a Staff Data Scientist to join our Pricing & Profitability Analytics team to help develop, implement, and continuously improve the pricing strategies and improve the analytical frameworks used for decision making. This is an exciting role for someone to make a direct impact on the revenue of SoFi. SoFi lending business launched various loan products in the last three years and is at an important juncture. At present, SoFi is in the process of developing several major Pricing Initiatives to drive business growth, revenue and client acquisition, retention and engagement. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen/ problem solving: you know how to plow through data with SQL/Tableau, surface insights using math/statistics/industry experience, and measure the business impact using efficiency/conversion/profit metrics.

Responsibilities

  • Develop and test pricing strategies that optimize for profitability through the improvement of revenue, credit risk, and/or cost per customer acquisition
  • Innovate and own new pricing strategies to drive company profits
  • Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
  • Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi's customer credit portfolio
  • Build reporting pipelines and dashboards to deliver results of pricing strategies to the business
  • Build intuitive and analytical models to help decision makers understand the price elasticity of customer segments
  • Routinely present analyses to SoFi business leaders
  • Continuously discover trends in customer behavior to inform decision making and recommend changes to strategies as needed

Requirements

  • B.S. or M.S. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position. M.B.A preferred, not required.
  • 7+ years of industrial experience working in the area of pricing, financial services, consulting, and/or credit risk strategies
  • Proven track record of end-to-end experience in utilizing and laying strategic framework for model development, testing, implementation and performance tracking in the financial services industry
  • Self starter with experience managing a portfolio and/or product. Have the ability to develop the vision and goals and drive the vision forward
  • Exceptional programming skills in SQL and preferably Python
  • Strong knowledge of Tableau and experience building production-level dashboards
  • Ability to work in a dynamic, cross-functional environment, with strong attention to detail
  • Effective communication skills and ability to explain complex concepts in simple terms
  • Strong relationship building and collaborative skills
  • Excels in a fast moving environment with outstanding stakeholder management abilities
  • Exceptional problem-solving skills

Nice-to-haves

  • Experience working with product and/or engineering teams
  • Experience working in the consumer unsecured lending space
  • Experience with Snowflake, Gitlab, & DBT
  • Experience with machine learning and statistical modeling methods for supervised and unsupervised learning

Benefits

  • Base pay range: $153,600.00 - $264,000.00
  • Eligible for a bonus
  • Long term incentives
  • Comprehensive and competitive benefits
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