Job Description
FIS technology processes more than $40 Trillion per year and enables 95% of the world’s leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Senior Data Scientist, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings.
The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way. We are leading the way and leveraging our wealth of data to create best-in-class solutions.
About the Team:
Build best-in-class ML models to detect and score Fraud, Risk in real-time and generate actionable insights for Financial Institutions and FinTech clients. Own Model Build, monitoring, and maintenance of FIS Financial Intelligence products.
Be part of a fast-growing, well-funded startup-y team within a larger company where we are laying the foundation and paving the way toward a customer-obsessed product, design, and engineering culture.
What you will be doing:
• Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC products
• Analyze and extract insights from large internal and external data set
• Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL
• Work with ML Engineering and Data Engineering teams to bring models from idea to production
• Build and maintain low-latency fraud, risk models
• Work independently and collaborate with teams across organizations to solve complex problems
• Create and present analyses to internal and external partners and clients
• Document models, write code to track and monitor models and product performance
What you will bring:
Masters or PhD in Computer Science, Statistics, Decision Sciences, Applied Mathematics, Economics or the equivalent combination of education, training, and work experience.
• Expert knowledge in Machine Learning, Artificial Intelligence, statistical modeling
• Expert knowledge with Neural Network frameworks (Keras/TensorFlow, PyTorch, etc.) and traditional ML frameworks (3-5+ years relevant experience)
• Proficient in data science tools and programming languages such as Python, Spark/Scala, SQL
• Proficient in working with real-time data streams (Kafka, Flink, Azure Stream, Storm, etc.)
• Experience working with feature stores, ML governance/monitoring, model versioning, A/B and Champion/Challenger setups
• Experience or knowledge of cloud-based technology (AWS, Azure, GCP)
What we offer you:
At FIS, we hire the best. In return, you receive exceptional benefits including:
Opportunities to innovate in fintech
Tools for personal and professional growth
Inclusive and diverse work environment
Resources to invest in your community
Competitive salary and benefits
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
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