Meridianpay

Data Analyst - Fraud Job at Meridianpay in New York

Meridianpay, New York, NY, United States, 10261

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Job Description:

At Meridian, we are on a mission to make low-cost, instant financial services and payments globally consistent for everyone.

Job Description:

At Meridian, we are on a mission to make low-cost, instant financial services and payments globally consistent for everyone.

We're working together to create the first global money network, linking together a worldwide collection of wallets and accounts as the foundation for a new payments network.

We are seeking a Fraud & Growth Analyst to join our team. The ideal candidate has strong experience in data analytics and and proven excellence with tackling payment fraud while optimizing conversion in an online environment.

Responsibilities:

Collaborate with Business, Product and Engineering teams to ever-improve our fraud prevention and user conversion efforts
Research and propose new ideas, improvements, and features based on client needs and leveraging the latest tools available
Design Rules and Scoring logic with rigorous backtesting
Establish benchmarks and reporting with a focus on continuous, iterative improvement
Become highly competent at leveraging the fraud prevention platforms used by Meridian
Work with external parties to ensure maximum value from their systems
Support QA and product testing
Run reports and queries to examine fraud patterns and enhance performance
Creation and monitoring of rules and setup of alert systems
Produce graphical reports for internal and external parties
Comfortable using AI (GPT) to better analyze rule efficacy and overall patterns within the data
Design an efficient process for reviewing rules, making iterative changes, with a goal of lowering fraud and minimizing false positives

Qualifications:

Experience working in a fast-paced environment, ideally a startup
Fraud prevention experience (3+ years)
A proven track record of combating fraud attacks
Data fluency, including high comfort with SQL
Strong grasp of applied statistics (e.g., hypothesis testing, confidence intervals, regression analysis) to support fraud model validation and rule performance analysis
US payments experience with domain knowledge around ACH Reversals
Experience operationalizing systems through the implementation of robust processes
Experience creating presentations to illustrate findings within large data sets
Understanding of various fraud schemes, including - account takeover, friendly fraud, and synthetic identity fraud
Comfortable using AI (GPT) to better analyze rule efficacy and overall patterns within the data
Startup mindset: high ownership, bias to action, low ego

Bonus Requirements:

BSA and/or AML know-how
Knowledge around CTF, AML, OFAC and other relevant legal & regulatory frameworks
Experience working on projects involving international payments such as P2P remittances
Strong communication skills and a collaborative mindset

Requirements:

Working alignment with US East Coast
Full-time
Remote

Benefits:

Unlimited Vacation
Work From Home
Equity

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Job function
Information Technology

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