Data Scientist Fraud
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
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 Data team within Plaids Fraud organization builds the machine learning systems that power Plaids newest fraud detection products leveraging the breadth of Plaids network data to stop fraud before it occurs. We manage the full lifecycle of these systemsfrom feature pipeline development and model training to deployment serving and monitoringensuring our solutions scale reliably as we grow to support hundreds of customers.
As a Data Scientist on Plaids Fraud Data team you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. Youll build dashboards and performance metrics that create a clear shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance uncover high-value opportunities and generate insights that support sales motions and customer expansion. Youll also design the underlying data models and schemas that enable efficient reliable analysis and close partnership with Product and Engineering you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
***We are open to remote candidates***
Responsibilities
- Work at the intersection of product analytics machine learning and fraud/risk to drive meaningful product improvements.
- Own the metrics dashboards and experimentation frameworks that inform product strategy and decision-making.
- Analyze complex datasets to uncover clear actionable insights that shape product direction.
- Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
Qualifications
- 35 years of total experience including at least 23 years working deeply with product analytics experimentation or data-driven products.
- Strong proficiency in SQL and Python.
- Hands-on experience with product analytics experimentation frameworks or backtesting methodologies.
- Skilled in designing building and maintaining dashboards and core product performance metrics.
- Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
- Excellent communicator with strong stakeholder-management skills across diverse teams.
- Background in fraud or risk domains Nice to have.
- Familiarity with data-insights products and a solid understanding of model-performance metrics Nice to have.
- Exposure to customer-facing or GTM-facing analytics Nice to have.
$162000 - $222000 a year
The target base salary for this position ranges from $162000/year to $222000/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
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan including medical dental vision and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position candidates work experience and skillset and location. Pay and benefits are subject to change at any time consistent with the terms of any applicable compensation or benefit plans.
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.
Key Skills
- Electrical
- Academics
- Customer Service
- Computer Data Entry
- Cardiac Surgery
- Freight Forwarding
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.
