Senior Data Science Engineer
Senior Data Science Engineer
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$ 76000 - 144000
1 Vacancy
Job Description
Job Description:
The Team
The Financial Crimes Models & Analytics team within Fidelitys Enterprise Compliance group is responsible for the design development and optimization of Fidelitys Financial Crimes detection models. We partner with colleagues across Fidelity to build software and data solutions that support Fidelitys 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 LowPriced Securities Emerging Risks Cryptocurrency Trading and more. Our team collects and curates data and applies machine learning and emerging technologies to improve Fidelitys surveillance and screening capabilities.
Were seeking a Senior Data Science Engineer to assist with the ongoing transformation of the firms Financial Crimes Compliance program. If youre 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 rulesbased 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 teams 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 selfsufficient 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
Bachelors 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 Fidelitys customers and brand by identifying bad actors or victims on the platform
Bring on the latest implementations of emerging technologies into Fidelitys Financial Crimes Detection Program
Detect suspicious activity occurring on Fidelitys platform
Support Fidelitys 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 candidates 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.
Please be advised that Fidelitys 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 retirementrelated financial activities and the rules and regulations of numerous selfregulatory organizations including FINRA among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelitys 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 MF) in a Fidelity office.
Certifications:
Category:
Information TechnologyRequired Experience:
Senior IC
Employment Type
Full-Time
