At Early Warning, we've 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.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
This role is accountable to analyze, create and deploy the rules and scores from both internally and externally develop fraud risk models and applications with the associated outcomes as it applies to decisions rendered to optimize the balance of risk, expense and experience while using the payment network in a variety of operating environments. This work must be done directly or in partnership with financial institutions in decisioning fraud risk.
Essential Functions
- Assess, recommend and modify the application of scores and rules to deliver the optimal balance of risk, expense and experience for clients, consumers and partners in the network.
- Implement the fraud detection strategies for the network.
- Create and apply data driven insights for constant monitoring of effectiveness, efficiency and opportunities in the application of scores, rules and logic in the execution of managing fraud risk.
- Create appropriate communications to internal and external stakeholders regarding emerging risks, observed trends and related opportunities.
- Perform the analysis of fraud events for the purpose of identifying and consistently categorizing the root cause of fraud events observed or attempted in the network.
- Support the company's commitment to protect the integrity and confidentiality of systems and data.
Minimum Qualifications
- Bachelor's degree or equivalent education/experience required.
- Minimum 5 years of fraud risk management experience.
- SQL/SAS competencies or comparable data analytics skills.
- Proven track record of converting concepts to analysis to cases for change.
- Exceptional executive presence, written and verbal communication skills.
- Experience with digital banking, payments and/or payment networks.
- Experience with financial institutions in the area of fraud risk management.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
Compensation
The pay scale for this position in:
Phoenix, AZ/ Chicago, IL in USD per year is: $80,000 - $95,000.
New York, NY/ San Francisco, CA in USD per year is: $100,000 - $115,000.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Additionally, candidates are eligible for a discretionary bonus, and benefits.
Benefits
- Healthcare Coverage-Competitive medical (PPO/HDHP), dental, and vision plans as well as 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.
- Paid Time Off -Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a 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.
And so much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Early Warning Services, LLC ("Early Warning") 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.
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