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Sobre esta vaga de Fraud Risk Analyst na Fiserv

Fiserv · Presencial · Berkeley Heights, New Jersey

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Fraud Risk Analyst

What does a successful Fraud Risk Analyst at Fiserv do?

As a successful Fraud Risk Analyst, you will be responsible for executing analytical based processes to detect fraud attacks, analyze impacts, determine effective prevention and mitigation and monitor the performance of the fraud risk ecosystem. Additionally, you will conduct analysis relative to root cause evaluation and associated observed volumes as well as financial and operational impacts with associated recommended remediation paths. You will ultimately create fact and data-based insights, which will be used to inform and influence change across the organization.

What you will do:

-Enhance and execute analysis for identifying new fraud attacks, detect attack signatures and determine root cause of fraud events observed or attempted in the network using data associated with cardholder accounts that includes both financial and non-financial data.
-Maintain and monitor a robust suite of early warning monitors to systemically identify abnormal activity and possible pre-cursor attack activity; produce monitors via dashboards, daily monitoring reports and ad-hoc reporting.
-Quickly source, analyze and deduce root cause and effective mitigation options consistently and accurately across the network.
-Manage fraud ecosystem measures to monitor the effectiveness and performance of all fraud controls.
-Conduct ad-hoc analysis to ensure accuracy and speed by maintaining a robust set of analytical capabilities and datasets.

What you will need to have:

-Bachelor’s degree in Business and/or Computer Science or equivalent work experience.
--3+ years of related work experience in Fin Tech, Ecommerce, Banking and/or fraud prevention.
-3+ years of experience as a Data Analyst.
-Competency in Python/PySpark/SQL and/or comparable data analysis skills in Snowflake, Palantir, AWS, Azure, Splunk, PowerBI, Actimize and/or other Fraud Prevention Platform building Fraud Prevention Rules and Artificial Intelligence Machine Learning models.
-Experience mining complex datasets and generating business reports.
-Experience developing, creating and presenting complex concepts and outcomes to senior leaders in support of a positive ROI and decreasing Fraud.

What would be great to have:

-Master's degree in Computer Science or a related field.
-Fraud Certification in ACAMS CAFS, ACFE.
-Coding Certification and/or documented supporting use case, education.


You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Salary Range

$74,000.00 - $122,400.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.

Thank you for considering employment with Fiserv.  Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact [email protected]. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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Como este salário de Risk Analyst se compara

Esta vaga paga $98,200/yr — em linha com da faixa típica para vagas de Risk Analyst.

$75,475 a mediana $129,788 $199,850

Faixa típica $97,142–$162,388/yr, com base em 652 vagas de Risk Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Risk Analyst →

Sobre a Fiserv

There's a reason why Fiserv is the global leader in information management and electronic commerce systems for the financial services industry. It's our people. If you are a talented professional who gets excited by the challenge of helping Fiserv lead the transformation of financial services technology for our clients' benefit, we encourage you to explore career opportunities with Fiserv, where turning possibilities into realities is the norm.

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