Job Description

Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention.

Responsibilities

• Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid
• Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products
• Drive post-retro follow-through to convert retro results into production usage
• Serve as a feedback loop between customers and product to drive our Protect roadmap

Qualifications

• 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech)
• Experience working closely with data science teams
• Experience managing consultative customer engagements where you owned the deliverable and the relationship
• Comfort interpreting ML model output (e.g., precision/recall, score distributions) and explaining it to a non-technical audience
• [Nice to have] Background in data science or ML engineering, particularly on a fraud or risk team
• [Nice to have] Experience in fraud, identity, or risk — either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements

$190,800 - $286,800 a year

The target base salary for this position ranges from $190,800 to $286,800 per year in Zone 1. The target base salary will vary based on the job's location.

Our geographic zones are as follows:

Zone 1 - San Francisco / New York City / Seattle

Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego

Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh

Zone 4 - All other US cities

The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.

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 accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

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