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About the Role

This position will execute processes to identify fraud methodologies, points of compromise, root cause evaluation, and associated impacts. The role will create fact-based insights to influence change across the organization and within participating financial institutions. The position will also manage a compromised credential discipline to control risk from exposed data.

Responsibilities

Execute analysis for identifying and consistently categorizing the root cause of fraud events observed or attempted in the network.
Develop fraud analysis to quickly source, analyze and deduce root cause consistently and accurately across the network.
Effectively articulate and influence within the organization and at participating financial institutions on recommended actions based on insights derived from advanced analytics.
Execute a discipline to identify exposed network credentials, social tokens and payment information; categorize the risk and apply appropriate risk treatments.
Support the company’s commitment to protect the integrity and confidentiality of systems and data.

Requirements

Must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
Position is ineligible for employment Visa sponsorship.
Bachelor’s Degree.
Minimum 5 or more years of progressive experience in advanced data analytical skills.
Minimum 3 years of SAS/SQL/R/Python or comparable analytic coding experience.
Proven track record of converting concepts to analysis to cases for change.
Exceptional written and verbal communication skills.
Experience with digital banking, payments and/or payment networks.
Background and drug screen.
Post Graduate degree – Math / Statistics / Data Science / MBA.
SAS/SQL/R/Python or comparable analytic coding certification.
Experience with two or more financial institutions in the area of fraud risk management.
Experience in both consumer and commercial banking applications.
Additional related education and/or experience preferred.

Skills

Advanced data analytical skills
SAS/SQL/R/Python or comparable analytic coding
Digital banking
Payments
Payment networks
Fraud risk management
Consumer banking applications
Commercial banking applications

Location

Phoenix, AZ
Chicago, IL
New York, NY
San Francisco, CA

Work Type

Hybrid
Onsite

Experience Level

5 or more years of progressive experience in advanced data analytical skills
3 years of SAS/SQL/R/Python or comparable analytic coding experience

Education Level

Bachelor’s Degree
Post Graduate degree – Math / Statistics / Data Science / MBA

Salary/Compensations

$104,000 - $130,000 (Phoenix, AZ/ Chicago, IL)
$125,000 - $156,000 (New York, NY/ San Francisco, CA)

Benefits

Discretionary incentive plan
Competitive medical (PPO/HDHP), dental, and vision plans
Company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Flexible Time Off for Exempt (salaried) employees
Generous PTO for Non-Exempt (hourly) employees
11 paid company holidays
Paid volunteer day
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

About the Company

Early Warning has powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze®, and so much more.
As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Equal Opportunity

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws.
The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.