5 дней назад
Data Analyst, Credit Risk (Fintech)
109 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Credit Risk (Fintech) (SQL/Python): Owning underwriting, limit assignment, and loss forecasting strategies for MyPay, an earned wage access product, with an accent on credit risk analytics, predictive modeling, and experimentation. Focus on designing A/B tests, improving automated risk decisioning, managing portfolio performance, and translating complex analysis into strategies for executive stakeholders.
Location: San Francisco, CA, USA; onsite role
Salary: $109,000–$150,000 annual base salary, plus bonus, equity, and benefits.
Company
is a financial technology company providing user-friendly banking services and financial tools that help members make financial progress.
What you will do
- Own the MyPay credit risk lifecycle, including underwriting policies, dynamic credit limits, and repayment strategies.
- Design, launch, and analyze A/B tests to optimize credit limits, member experience, and risk-reward trade-offs.
- Apply statistical modeling and data science techniques to identify risk signals, improve predictive models, and automate risk decisions.
- Partner with Product Management, Engineering, Data Science, and Finance to integrate risk strategies and align with financial targets.
- Build dashboards and reporting frameworks for portfolio performance, loss metrics, and program financial health.
- Manage, mentor, and develop a team of Data Analysts.
Requirements
- 3+ years of experience in credit risk, data science, or advanced analytics, preferably in consumer lending, fintech, or earned wage access.
- Expert proficiency in SQL for complex data extraction and manipulation.
- Strong Python programming skills, including Pandas, NumPy, and Scikit-learn.
- Hands-on experience designing, launching, and analyzing A/B tests and multivariate experiments.
- Understanding of consumer credit risk, loss forecasting, and unit economics.
- Ability to translate complex technical concepts into actionable strategies for executive stakeholders.
Nice to have
- Master’s or PhD in Statistics, Mathematics, Economics, Computer Science, or another quantitative field.
- Experience with earned wage access, cash advance, or short-term liquidity products.
- Familiarity with Snowflake, dbt, or Looker.
Culture & Benefits
- In-office policy with four days per week in the office and Fridays from home for employees near an office.
- Comprehensive health, financial, and wellbeing benefits.
- Backup child, elder, and pet care, plus subsidized commuter benefits for eligible employees.
- Generous vacation policy, company-wide paid days off, and paid parental leave.
- Annual wellness stipend and family planning reimbursement.
- Opportunity to work on financial products serving millions of members.
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