Senior Lead Data Scientist (Data Scientist, ML/Python)

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. 

About the team 

FIS™ Protegent helps compliance officers cope with increasing data volumes, understand more sophisticated product risks, stay ahead of evolving regulations and rapidly respond to ongoing demands from auditors and regulators. FIS Compliance Suite of products helps firms meet their compliance and regulatory obligations – from providing comprehensive surveillance for insider trading and market manipulation to assisting in supervisory controls and supporting management reporting.

What you will be doing 

You will be a part of the FIS® Compliance Suite (formerly Protegent) next generation product development initiative, joining a team of highly motivated and focused developers to develop our next generation compliance product. As a Senior Data Scientist at FIS Global, you will play a key role in extracting actionable insights from complex datasets and developing predictive models to support business objectives. Leveraging your expertise in statistical analysis, machine learning, and data visualization, you will collaborate with cross-functional teams to solve challenging problems and drive strategic initiatives. You will be responsible to devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy, analyze data for trends and patterns, and interpret data with clear objectives in mind. You will get an opportunity to work with multiple products and businesses and develop a good understanding of the interesting world of trading and compliance.

 What you bring: 

Knowledge / Experience

- Minimum of five years of experience in data science or a closely related field, with a proven track record of delivering impactful solutions.

- Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Strong analytical and problem-solving skills, with the ability to translate business requirements into analytical solutions.

- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

- Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.

- Demonstrated ability to work effectively in a collaborative team environment and manage multiple priorities in a fast-paced, dynamic setting.

Skills

• Define strategies to leverage existing large datasets and integrate new datasets to extend product capabilities and work closely with the data engineers and product engineering teams in the development of data products.

- Lead the end-to-end development of predictive models and machine learning algorithms to solve business problems and optimize processes.

- Perform exploratory data analysis, data preprocessing, and feature engineering to uncover hidden patterns and trends in large datasets.

- Collaborate with stakeholders to define project objectives, develop analytical solutions, and communicate findings effectively.

• Work closely with product and solution management teams to understand business use cases and convert into machine learning or gen-AI solutions.

- Conduct rigorous model evaluation and validation to ensure the robustness and reliability of predictive models.

- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence to continuously improve methodologies and techniques.

- Contribute to the development and implementation of best practices for data management, analysis, and model deployment.

Qualifications

• Bachelor's or master’s degree in computer science, Statistics, Mathematics, or a related field.

Competencies

• Fluent in English
• Excellent communicator – ability to discuss functional and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
• Attention to detail and quality focus.
• Organized approach – manage and adapt priorities according to client and internal requirements.
• Self-starter but team mindset - work autonomously and as part of a global team

What we offer you 

• A multifaceted job with a high degree of responsibility, visibility, and ownership.
• An opportunity to work with one of the fastest growing segments and products in the capital markets space with great opportunity for growth.
• Strong exposure to the exciting trading and compliance space, with excellent learning opportunities.
• A broad range of professional education and personal development possibilities – FIS is your final career step!
• A competitive salary and benefits
• A variety of career development tools, resources and opportunities

With a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions.  We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe.  FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.

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 FIS Online Privacy Notice.

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.

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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