Fraud Model Consulting Lead

Plaid

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 17 hours 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.

Our Fraud teams 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.
The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e. the role will not build the models but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.)

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

$190800 - $286800 a year

The target base salary for this position ranges from $190800 year to $286800/year in Zone 1. The target base salary will vary based on the jobs 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.

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.
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 ...
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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.

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