Data Scientist E, FIS University Program
US GA ATL 201
FIS
FIS is fintech for bold ideas. FIS is behind the financial technology that transforms how we live, work and play.Job Description
Every day, our teams innovate across the world of finance. We collaborate to work smarter, while making a difference. We believe in diversity and inclusivity, giving a voice to everyone on the team. And we celebrate our success together. If you want to make an impact in fintech, we’d like to know: Are you FIS?
Join the 2025 FIS University Program!
As a full-time employee in the FIS University Program, you will have the opportunity to participate in team projects, community service activities, professional development seminars and work with a team that is invested in your growth, development, and success; including bi-annual performance connects with your manager.
This two-year full-time program has start dates in January, March, June, and September with a dedicated “Learning Week” where you will:
- Learn how to work within a corporate environment
- Learn about the exciting world of Fintech and the role FIS plays
- Hear from FIS leadership about their journey and participate in senior leader networking opportunities
- Build a network of your peers from across the organization
This position is for a March 24, 2025 start.
About the Role
Entry level professional individual contributor role. Works on problems of limited scope, following standard practices and procedures with detailed instruction on new work. Participates in project planning sessions, working closely with experienced Data Scientists and other team members to analyze requirements, and provide design recommendations for complex analytical systems. Consults with senior peers with goal of continually building knowledge/experience while minimizing any risk. This role shows a demonstrable interest in technological innovation with a focus on learning to apply standards, developing an understanding of the business, and advancing personal professional growth. Typically requires demonstrated engineering skills, strong mathematical skills normally evidenced by bachelor’s degree in a mathematical or related subject.
About The Team
At FIS Cleared Derivatives, we provide mission-critical software and services to institutions across the derivatives industry worldwide. As part of the Capital Markets Division of FIS, Cleared Derivatives addresses the needs of global sell-side and buy-side clients with the industry leading software solutions and services for post-trade processing of listed derivative (ETDs) and cleared OTC instruments. You will join a team of technology engineers and architects focused on data analytics of derivatives processing and market risk.
What You Will Be Doing
- Employ machine learning and statistical modeling to create and enhance data driven products
- Analyze and extract insights from internal and external data
- Work with Big Data and transform complex datasets into more usable formats
- Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
- Work independently and collaborate with other groups to solve complex problems
- Create and present analyses to internal and external partners and clients
- Document models and write code to track and monitor models and product performance
- Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs
- Other related duties assigned as needed
What You Bring
- Bachelor’s degree in relevant field of study
- Proficiency in Microsoft Office Suite
- Fluent in English; Strong written and verbal communication skills
- Adaptability, a drive to learn, and strong problem-solving skills
- Ability to work well independently and within a team
Bonus If You Have
- Snowflake experience a plus
- PowerBI or similar business intelligence software
- Expertise in SQL, Python pandas/numpy, Java or Scala
What We Offer You
- Competitive salary and excellent benefits
- The chance to work on some of the most challenging, relevant issues in financial services & technology
- A broad range of professional education and personal development possibilities – FIS is your final career step!
- Time to support charities and give back to your community
- A work environment built on collaboration, flexibility, and respect
- Student Loan Repayment Program: FIS will PAY OFF participants’ undergraduate loan balance over 10 years of service! Eligibility starts after one year of tenure in the program. The benefit applied to undergraduate student loans for US-based degrees and must be in the employee’s name.
*Current and future sponsorship are not available for this position*
#FISUMARCH2025
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 protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Intelligence Data Analytics Engineering Finance FinTech Java Machine Learning ML models NumPy Pandas Power BI Privacy Python R SAS Scala Security Snowflake SQL Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Salary bonus Team events
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