Is the Apply position at MoneyGram fully remote?

Yes, this Apply position at MoneyGram is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Apply role?

This is a full-time Apply position at MoneyGram.

What are the main requirements for the Apply role?

Key requirements include: Proactively identify fraud trends, Design detection strategies, Influence data-driven decision-making, and more.

What benefits does MoneyGram offer for this position?

MoneyGram offers the following benefits: 401k Matching, Health Insurance, Paid Time Off, Remote Work, Stock Options.

What is the salary range for the Apply position?

The salary range for this Apply role is $75k+.

How do I apply for the Apply position at MoneyGram?

You can apply for this Apply position by clicking the "Apply Now" button on this page, which will take you to MoneyGram's application portal.

Apply at MoneyGram

United States

$75k+

Sr. Risk Data Analyst - (25010636)<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Description</h2> <ul role="list"><li aria-setsize="-1" role="listitem">***This role is 100% remote and can be located anywhere in the US</li><li aria-setsize="-1" role="listitem"> </li></ul>We’re rebuilding one of the most trusted names in fintech—and doing it like a startup. MoneyGram has been a global leader in cross-border payments for decades, and now we’re entering our most exciting chapter yet: a full-speed, full-scale re-founding led by Anthony Soohoo, with the backing of private equity firm Madison Dearborn Partners. With a globally recognized brand, deep infrastructure across 200+ countries, and millions of loyal customers, the foundation is strong—and the scale is unreal. We’re now reimagining just how much further we can take it. We’re rebuilding our growth engine —faster, smarter, and more customer-obsessed than ever. Fewer layers. Sharper strategy. Disciplined execution. A bias for action. We’re looking for bold operators and builders ready to run at this opportunity, shape the future of a scaled business, and leave their mark. About This PositionIn this role, you will use your analytical and technical expertise to proactively identify fraud trends, design detection strategies, and influence data-driven decision-making across the organization. You’ll partner closely with fraud operations, engineering, data science, and compliance teams to build scalable fraud analytics capabilities and enhance our defenses against evolving threats. What You Will Do:· Analyze large volumes of transactional, behavioral, and customer data to identify suspicious activity and emerging risk patterns.· Design, develop, and maintain dashboards, KPIs, and visualizations to monitor fraud risk and operational performance · Build and optimize risk detection rules, scorecards, and machine learning features in collaboration with data scientists· Perform root cause analysis on fraud cases and translate findings into actionable insights and system improvements· Evaluate the effectiveness of existing fraud risk controls and recommend enhancements based on quantitative analysis· Support A/B testing and impact assessments of new fraud tools, controls, or policy changes· Assist with fraud loss forecasting, scenario modeling, and cost-benefit analysis for mitigation strategies· Provide ad hoc analysis and insights to support leadership decisions and cross-functional initiatives. · Stay up to date on fraud risk tactics, tools, and industry benchmarks to ensure continuous innovation in detection strategies Who We’re Looking For: · Bachelor’s or master’s degree in a quantitative field (e.g., Data Science, Statistics, Economics, Computer Science, Mathematics)· 3+ years of experience in fraud risk analytics, ideally in fintech, payments, or financial services· Strong SQL skills and experience working with large-scale data sets (e.g. BigQuery, Snowflake)· Proficiency in Python or R for data analysis, statistical modeling, and automation· Experience with BI tools (e.g., Looker, Tableau, Power BI) to create reports and dashboards· Strong understanding of fraud patterns such as social engineering, synthetic identity, ATO, money mules, etc. · Ability to turn complex data into actionable insights and communicate findings clearly to both technical and non-technical stakeholdersLocation:· This position will be remotely based in the United StatesHere Are Some Reasons You Will Love Working At MoneyGram!· Remote first flexibility· Generous PTO· 13 Paid Holidays· Medical / Dental / Vision Insurance· Life, Disability, and other benefits· 401k with competitive Employer Match· Community Service Days· Generous Parental LeaveAnticipated Base Pay: $75,000 – 135,000 + participation in our annual bonus plan. The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. MoneyGram does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. MoneyGram also does not hire F-1’s working on EAD for this position. About MoneyGram MoneyGram International, Inc. is a global financial technology leader, empowering consumers and businesses to send and manage money across over 200 countries and territories. With an industry-leading app and one of the world’s largest cash distribution networks, MoneyGram processes more than $200 billion annually, serving over 50 million people. A pioneer in blockchain technology, the company enables customers to buy, sell, and hold digital currencies, with over 50% of transactions now digital. Headquartered in Dallas, Texas, MoneyGram is celebrated for its strong culture, earning the Top Workplaces USA award three years in a row. <h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Qualifications</h2> Risk Analyst <h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Primary Location</h2>: United States of America-New York-New York<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Other Locations</h2>: United States of America-Texas-Dallas<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Work Locations</h2>: Virtual-NewYork <h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job</h2>: Retail and Risk Mgmt<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Organization</h2>: Digital<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"></h2>: Full-time<h2 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job Posting</h2>: Jan 28, 2026, 8:53:16 PM

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MoneyGram

Full Time

$75k+

8 months ago

Sr. Risk Data Analyst - (25010636)Description ***This role is 100% remote and can be located anywhere in the US We’re rebuilding one of the most trusted names in fintech—and doing it like a startup.

United States

Finance

Senior

Data-Driven Decision Making

Data Science

Compliance

+2 more

Job Description

Sr. Risk Data Analyst - (25010636)

Description

***This role is 100% remote and can be located anywhere in the US

We’re rebuilding one of the most trusted names in fintech—and doing it like a startup.

MoneyGram has been a global leader in cross-border payments for decades, and now we’re entering our most exciting chapter yet: a full-speed, full-scale re-founding led by Anthony Soohoo, with the backing of private equity firm Madison Dearborn Partners.

With a globally recognized brand, deep infrastructure across 200+ countries, and millions of loyal customers, the foundation is strong—and the scale is unreal. We’re now reimagining just how much further we can take it.

We’re rebuilding our growth engine —faster, smarter, and more customer-obsessed than ever. Fewer layers. Sharper strategy. Disciplined execution. A bias for action. We’re looking for bold operators and builders ready to run at this opportunity, shape the future of a scaled business, and leave their mark.

About This Position

In this role, you will use your analytical and technical expertise to proactively identify fraud trends, design detection strategies, and influence data-driven decision-making across the organization. You’ll partner closely with fraud operations, engineering, data science, and compliance teams to build scalable fraud analytics capabilities and enhance our defenses against evolving threats.

What You Will Do:

· Analyze large volumes of transactional, behavioral, and customer data to identify suspicious activity and emerging risk patterns.

· Design, develop, and maintain dashboards, KPIs, and visualizations to monitor fraud risk and operational performance

· Build and optimize risk detection rules, scorecards, and machine learning features in collaboration with data scientists

· Perform root cause analysis on fraud cases and translate findings into actionable insights and system improvements

· Evaluate the effectiveness of existing fraud risk controls and recommend enhancements based on quantitative analysis

· Support A/B testing and impact assessments of new fraud tools, controls, or policy changes

· Assist with fraud loss forecasting, scenario modeling, and cost-benefit analysis for mitigation strategies

· Provide ad hoc analysis and insights to support leadership decisions and cross-functional initiatives.

· Stay up to date on fraud risk tactics, tools, and industry benchmarks to ensure continuous innovation in detection strategies

Who We’re Looking For:

· Bachelor’s or master’s degree in a quantitative field (e.g., Data Science, Statistics, Economics, Computer Science, Mathematics)

· 3+ years of experience in fraud risk analytics, ideally in fintech, payments, or financial services

· Strong SQL skills and experience working with large-scale data sets (e.g. BigQuery, Snowflake)

· Proficiency in Python or R for data analysis, statistical modeling, and automation

· Experience with BI tools (e.g., Looker, Tableau, Power BI) to create reports and dashboards

· Strong understanding of fraud patterns such as social engineering, synthetic identity, ATO, money mules, etc.

· Ability to turn complex data into actionable insights and communicate findings clearly to both technical and non-technical stakeholders

Location:

· This position will be remotely based in the United States

Here Are Some Reasons You Will Love Working At MoneyGram!

· Remote first flexibility

· Generous PTO

· 13 Paid Holidays

· Medical / Dental / Vision Insurance

· Life, Disability, and other benefits

· 401k with competitive Employer Match

· Community Service Days

· Generous Parental Leave

Anticipated Base Pay: $75,000 – 135,000 + participation in our annual bonus plan.

The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

MoneyGram does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. MoneyGram also does not hire F-1’s working on EAD for this position.

About MoneyGram

MoneyGram International, Inc. is a global financial technology leader, empowering consumers and businesses to send and manage money across over 200 countries and territories. With an industry-leading app and one of the world’s largest cash distribution networks, MoneyGram processes more than $200 billion annually, serving over 50 million people. A pioneer in blockchain technology, the company enables customers to buy, sell, and hold digital currencies, with over 50% of transactions now digital. Headquartered in Dallas, Texas, MoneyGram is celebrated for its strong culture, earning the Top Workplaces USA award three years in a row.

Qualifications

Risk Analyst

Primary Location

: United States of America-New York-New York

Other Locations

: United States of America-Texas-Dallas

Work Locations

: Virtual-NewYork

Job

: Retail and Risk Mgmt

Organization

: Digital

: Full-time

Job Posting

: Jan 28, 2026, 8:53:16 PM

Requirements

Proactively identify fraud trends
Design detection strategies
Influence data-driven decision-making
Partner closely with fraud operations, engineering, data science, and compliance teams
Build scalable fraud analytics capabilities

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Stock Options

Skills

Data-Driven Decision Making

Data Science

Compliance

fraud analytics

fraud operations

Ready to Apply?

Join MoneyGram today

Salary Range

$75k+

Posted 8 months ago

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