Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
We are seeking a Data Scientist to join our Pricing team in the Lending Organization. This is an exciting role for someone to make a direct impact on the revenue of SoFi. As a data scientist in our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help SoFi develop, implement, and analyze pricing strategies across our consumer lending products
What you’ll do:
- Partner with internal teams to define pricing strategy requirements, ensuring accurate execution and maintaining a robust audit trail.
- Improve algorithm performance, conduct code reviews, maintain system functionality, and develop systematic validation and new processes to enhance deployment reliability and accuracy.
- Work closely with Engineering to resolve system issues and ensure successful on-schedule deployment of pricing strategies
- Collaborate with external partners to deliver seamless price execution across affiliate environments.
- Support the creation of dashboards and alerts to monitor data pipelines and ensure pricing strategies operate as expected.
- Identify and recommend opportunities to enhance pricing strategies, driving increased revenue and profitability.
- Support ad hoc investigations and analytics requests to inform decision-making.
What you’ll need:
- B.S. or M.S.. in Computer Science, Statistics, Economics, Engineering, Mathematics or related quantitative field is required for this position;
- 2+ years of experience in the Financial Services industry working in the area of risk and data analytics.
- Strong programming skills in Python and SQL; familiarity with Tableau or other data visualization tools is preferred.
- Ability to work in a dynamic, cross-functional environment.
- Exceptional attention to detail and accuracy is a must
- Strong relationship-building and collaborative skills
Nice to have:
- Prior experience in data engineering
- Experience with Snowflake, Gitlab, Tableau
- Experience working with product and/or engineering teams
- Experience in building pricing models/strategies
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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