Job Description:

The Team

The Financial Crimes Models & Analytics team within Fidelity's Enterprise Compliance group is responsible for the design, development, and optimization of Fidelity's Financial Crimes detection models. We partner with colleagues across Fidelity to build software and data solutions that support Fidelity's Financial Crimes Compliance programs.

Our team has broad responsibility for the Fidelity Investments transaction monitoring systems across multiple business units. Coverage areas include: Insider Trading, High Risk Money Movement, Elder Financial Exploitation, Low-Priced Securities, Emerging Risks, Cryptocurrency Trading and more. Our team collects and curates data and applies machine learning and emerging technologies to improve Fidelity's surveillance and screening capabilities.

We're seeking a Senior Data Science Engineer to assist with the ongoing transformation of the firm's Financial Crimes Compliance program. If you're passionate about data engineering, data science, and technology to help fight financial crime, then this is an excellent opportunity for you!

The Purpose of Your Role

As a Senior Data Science Engineer, you will own the full development of Financial Crimes models. This includes but is not limited to data analysis, data engineering, feature engineering, and rules-based and machine learning development. You will also work with business partners across various domains to understand and acquire data, as well as our financial technology platforms and business requirements. You will be working with machine learning models, rewriting legacy models, and supporting the data preparation for our reporting efforts. You will develop model performance metrics and make model adjustments accordingly.

The Responsibilities of this role:

• Develop new features in Snowflake using SQL, DBT and Python that broadens our detection platform, tailored to specific risks

• Investigate the underlying data that impacts the performance of our models via exploratory data analysis

• Create robust testing scenarios including unit testing and regression testing

• Support the Data Scientists in developing AI and machine learning models

• Explore new technologies, emerging trends and determine their applicability to the team's use cases; orchestrate the adoption of such technologies and trends where appropriate

The Expertise You Have:

• Excellent proficiency in SQL and Python

• Expertise in querying various database types, e.g. Snowflake, MongoDB, and Graph databases

• Curious and self-sufficient in data analysis to develop an understanding in our data systems

• Experience in the software development cycle from design to implementation to testing, CI/CD, version control management/git, documentation, etc.

• Experience working with dbt (data build tool) is nice to have

• Familiarity with machine learning concepts

• Comfort with documenting highly technical solutions

• Bachelor's degree in computer science or equivalent technical expertise

Behavioral Attributes:

• You take responsibility for the full model development, especially feature engineering, model development, and model operations

• You are comfortable reaching out to business partners and team members to overcome blockers caused by both technical and business hurdles

• You are thoughtful in the approach and design of technology solutions

• An eye for detail and commitment to quality and high standards

• Excellent oral and written communication skills

The Value You Deliver:

• Protect Fidelity's customers and brand by identifying bad actors or victims on the platform

• Bring on the latest implementations of emerging technologies into Fidelity's Financial Crimes Detection Program

• Detect suspicious activity occurring on Fidelity's platform

• Support Fidelity's new business initiatives, e.g. Fidelity Digital Assets

• Help develop your teammates by sharing your experience, expertise and perspective

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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.

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