Principal Data Scientist, Fraud Management

Job Description:

Principal Data Scientist, Fraud Management

Fidelity’s Financial Intelligence Unit (FIU) is seeking an experienced, highly motivated data scientist with a passion for analyzing data in a variety of ways and applying innovative anomaly detection techniques to combat fraud. The successful candidate will work collaboratively with distributed teams to prototype, learn, and quickly deliver data science solutions.

The Team

FIU strives to protect Fidelity businesses, clients, customers, and reputation by providing fraud management services, optimally balancing risk and customer experience. The Fraud Prevention organization within FIU deploys advanced AI/ML products inline in customer journeys to combat fraud for enterprise-wide financial products and services, working closely with business unit partners, vendors, fraud detection, investigation, surveillance and technology teams.

Required Skills

• Education in Computer Science, Mathematics, Computational Statistics, Machine Learning or Engineering with 4+ years proven experience.
• Experience organizing large amounts of data from multiple data sources, building predictive machine learning models and establishing decision strategies that will help in identifying fraudulent transactions.
• Experience developing supervised and semi-supervised machine learning algorithms.
• Knowledge of a variety of machine learning techniques (clustering, decision tree/random forest learning, artificial neural networks, feature selection/reduction and parameter tuning) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications.
• Strong programming skills in Python, R, SQL, Bash/Shell and CLI, and tools such as DBT, SageMaker or TensorFlow.
• Experience building solutions across databases in heterogeneous environment such as Oracle, Postgres, DB2, Snowflake, Databricks, Cassandra, NoSQL, or data streaming platforms.
• Consistent track record of understanding relationship between data and business objectives, developing mathematical models to predict business outcomes, and determining cause and effect relationships.

Other Desired Skills

• Self-starter, who can challenge status-quo, is curious and not afraid to ask “why?” and “what if?”, self-motivated to deliver high quality work in a timely manner.
• Ability to function in a fast-paced environment with multifaceted priorities, switching tasks if needed, building solutions collaboratively with others across the organization.
• Strong analytical and problem resolution skills, be able to do research, find answers to technical challenges, and learn new techniques.
• Ability to translate sophisticated topics to non-technical audiences.

The Value You Deliver

• Stay informed of fraud incidents daily, learning from Detection and Surveillance team members, capturing and sharing new learnings with the Prevention product team.
• Understand and articulate fraud data requirements and outline high level integration designs to meet those requirements.
• Mine and analyze machine data, transaction history and real-time events from multiple data sources to drive optimization and improvement of fraud prevention strategies.
• Coordinate with team members to design and build fraud-specific feature packages and real-time predictive models to reduce fraud losses while optimizing customer experiences with minimal friction, achieving measurable outcomes.
• Build systems and deploy models that can assemble and compute real signals within milliseconds and at an event level to stay ahead of attackers.
• Identify and integrate new data sources towards continuous fraud model improvements.
• Develop model testing framework for performance and quality. Prepare model governance documentation.
• Develop processes and tools to monitor and analyze model performance and making vital adjustments.

Company Overview

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.

Fidelity Investments is an equal opportunity employer.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email us at accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 if you would like to request an accommodation.

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Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.