- Salary
- $97k – $185k
- Location
- 245 Summer St, Boston MA, United States of America · Jersey City, NJ · Westlake, TX
- Workplace
- Remote, Onsite
- Type
- Full-time
- Department
- Education
- Seniority
- Senior
- Education
- PhD
- Source
- Workday
Description
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Job Description
Fraud Risk & Control Detection Team is looking for a Data Scientist to join a growing team. The team’s focus is building innovative models for fraud detection. This role will be responsible for working closely with data scientists, data engineers, technical leads and product managers to bring game-changing models to production.
The Team
Frad Risk & Control Detection is a growing team of analysts, data scientists, and machine learning engineers building out fraud detection capacities within Fidelity.
The Expertise You Have
MS in data science, statistics or similar quantitative field, and 4+ years practical experience on the job
PhD in data science, statistics or similar quantitative field, and 2+ years practical experience on the job
Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation
Proven experience building analytics that deliver useful insights from large datasets
Proven track record of delivering production machine learning tools that solve business problems
The Skills You Bring
Excellent programming skills in Python and Pandas.
Familiarity with Sagemaker and PyCharm is a plus.
Excellent experience in standard machine learning approaches, statistics, Natural Language Processing (NLP) and deep learning techniques
Strong communication skills, you are able to work collaboratively with both technical and non-technical stakeholders to drive problem definitions and meet business requirements
Bonus points for building production ML model containers at scale (Docker, SageMaker, Flask, Aerospike)
Bonus points for dashboarding capabilities (PowerBI, Tableau, Looker)
The Value You Deliver
Build data science applications from inception to production
Work well as part of an interdisciplinary team whose members will include data scientists, software engineers, data engineers and product managers.
Be able to present and communicate key findings and project progress to senior business leaders
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
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.
