Analytics Analyst I – Fraud (SQL Required)
FISAbout the role
Job Description
We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?
About the role:
The Fraud Prevention Analyst will review various data and reporting on a daily basis in an effort to identify any type of card fraud, trend, or event that has took place, is currently taking place, or may take place in the future. Once identified, the Fraud Prevention Analyst will work both individually and with the FIS Card Fraud Analytics Team to implement a rule or strategy to target the type of fraud/trend/event that has been identified. The Fraud Prevention Analyst will also build decks, facilitate meetings, and help with various projects and other assignments, as needed.
Hybrid Schedule: Monday - Friday 8:00 am to 5:00 pm
Onsite Tuesdays, Wednesdays & Thursdays
Current and future sponsorship are not available for this position
About the team:
The Fraud Prevention Analyst will work in our FIS Card Fraud Analysts Team to research various card fraud trends and events for our clients who are financial institutions, both small and large. Once fraud is identified, the Fraud Prevention Analyst will work to implement a rule or strategy to address the type of fraud that has been identified.
What you will be doing:
- Analyze overall fraud metrics, identify, and report on emerging trends
- Test/Implement/Modify fraud strategies as appropriate
- Analyze fraud databases and report on operational performance
- Join fraud data with other data sources to derive end-to-end performance metrics for fraud
- Will work directly with clients, supporting fraud products and overall fraud needs
- Design and implement new internal and external Fraud reports
- Create and deliver presentations to clients with meaningful commentary on both past performance and future opportunities
- Collaborate with fraud management on special projects or requests
- Take ownership of work and proactively engage in identifying opportunities for improvement
- Respond to ad hoc requests for report building and data analysis
- Working independently, as well as with team members
What you bring:
- Fraud background preferred (data driven/data analytics)
- You will have an Analytical mindset and love to crunch data
- You will be familiar with BI tools (Hyperion, SAS, Python, Tableau, etc)
- You will be Advanced working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in SQL and Excel (3-5+ years of experience preferred)
- You will possess a strong understanding of internal business segment (stakeholders) and presentation skills
- You will have experience in relational database structures, research methods, sampling techniques and system testing
- You are a go-getter, are self-directed and able to work independently
- You will have advanced data mining experience
- Travel percentage for this role: 1-5%
Added Bonus if you have: Bilingual in Spanish
What we offer you:
A broad range of professional education and personal development possibilities – FIS is your final career step!
- Attractive benefits including vacation/sick pay, private medical coverage, dental coverage,
- 401K match, Stock options, travel insurance and more!
- Time to support charities and give back in your community
Education requirement:
Bachelor’s degree: Preferred studies will be in statistics, accounting, finance, economics, or business
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other p
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