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Job Description

About the team

We boldly innovate to maximize FIS' usage of data assets to create market-leading payment optimization products and solutions. We combine high knowledge of the data, advanced analytics, machine learning algorithms and augmented intelligence to drive value through data-driven decisions for FIS and our customers.

What you will be doing

Use quantitative and statistical methods to explore data and extract actionable insights from our payment data. Leverage machine learning, statistical modelling, and quantitative analysis to create intelligent, data-driven products

• You analyse and extract actionable insights from internal and external data
• You employ machine learning and statistical modelling to create and enhance data driven products
• You develop intelligent payment products and continuously integrate and deploy into microservice-based product platform
• You work with a variety of data science tools and programming languages
• You work independently and collaborate with other stakeholders to build product prototype and solve complex business problems

What you bring:

• Proficient in data science tools and programming languages such as Python, R, SQL
• Strong analytics and knowledge in machine learning, artificial intelligence, statistical modelling, data visualization, and data analysis
• Proficiency in solutions design and requirements
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
• Delivery-oriented team player who takes responsibility for the team's success and strives to continually learn and improve

Added bonus if you have:

• Experience of cloud-based technology such as Databrick and AWS
• Knowledge of financial services industry especially payment processing
• Ability to persuade and influence others on the best approach

What we offer you

• A work environment built on collaboration, flexibility and respect
• A modern, international work environment and a dedicated and motivated team
• 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!
• A fantastic range of benefits designed to help support your lifestyle and wellbeing

EDUCATION REQUIREMENTS

Masters with 3 years of data science experience or PhD in Applied Mathematics, Engineering or Computer Science or the equivalent combination of education, training, and work experience.

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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 .

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.

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