Senior Machine Learning Engineer Finance Management
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We believe that the way people interact with their finances will drastically improve in the next few years. Were dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo SoFi several of the Fortune 500 and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaids network covers 12000 financial institutions across the US Canada UK and Europe. Founded in 2013 the company is headquartered in San Francisco with offices in New York Washington D.C. London and Amsterdam.
The Earned Wage Access (EWA) team is building Plaids industry-leading solution for assessing repayment risk in EWA. By leveraging Plaids unique data and modeling capabilities the team aims to deliver the most accurate and scalable EWA score in the marketsurpassing existing offerings and setting a new standard for how partners evaluate and manage risk in this emerging space.
As a Data Scientist on the EWA team youll work across the full product lifecyclefrom pre-launch evaluation through post-launch retrospectivesto analyze performance assess repayment patterns and design strategies that optimize outcomes for partners and end users. Youll refine Plaids EWA risk models identifying opportunities to improve predictive accuracy and uncover new behavioral signals unique to EWA this role youll also develop new features to strengthen risk prediction build scalable data pipelines with tools like dbt to automate ETL processes and create metrics alerts and dashboards to continuously monitor production model performance.
Responsibilities
- Shape Plaids first zero-to-one repayment risk framework for earned wage access setting a new industry standard.
- Empower millions of workers with safer more accessible EWA products by helping partners manage repayment risk responsibly.
- Dive deep into Plaids unique transaction and balance data to uncover new repayment risk signals.
- Partner closely with customers to conduct retros and design repayment strategies demonstrating real-world impact.
- Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior.
- Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance.
- Collaborate across product engineering and data teams to scale Plaids EWA risk solutions and improve product-market fit.
- Join a high-ownership bottom-up driven team building the leading EWA score to surpass competitors in the space.
Qualifications
- 5 years of experience in applied analytics decision science or risk modeling ideally within credit lending or payments.
- Strong ability to analyze and interpret large-scale financial datasets (transactions balances repayment behaviors) to generate insights.
- Proficiency in SQL Python and data visualization/analysis tool.
- Experience in model performance evaluation monitoring and feature development for credit or risk models.
- Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements.
- A track record of owning projects end-to-end and driving measurable business or customer impact.
- Familiarity with financial services fintech or EWA/payroll products is a strong plus.
- Advanced degree or equivalent work experience in Statistics Economics Mathematics Data Science or a related field.
$174000 - $260400 a year
The target base salary for this position ranges from $174000/year to $260400/year in Zone 1. The target base salary will vary based on the jobs location.
Our geographic zones are as follows:
Zone 1 - New York City and San Francisco Bay Area
Zone 2 - Los Angeles Seattle Washington D.C.
Zone 3 - Austin Boston Denver Houston Portland Sacramento San Diego
Zone 4 - Raleigh-Durham and all other US cities
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesnt fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race color national origin ethnicity religion or religious belief sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age military or veteran status disability or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories consistent with applicable federal state and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability please let us know at emailprotected.
Please review our Candidate Privacy Noticehere.
Required Experience:
Senior IC
Key Skills
- Farm
- IT Business Analysis
- Home Care
- Fleet
- Credit Operations
About Company
Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.
