Senior Data Science Engineer
Fidelity InvestmentsAbout the role
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 rang
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