Data Scientist (Financial Crimes)
Job Description:
Data Scientist
Financial Crimes Models & Analytics
Note: Fidelity will not provide immigration sponsorship for this position.
Description
Join Fidelity’s Financial Crimes Models & Analytics team, where we use innovative data science techniques to protect the firm and its clients from financial crime. The Financial Crimes Models & Analytics team, within Fidelity’s Enterprise Compliance group, is responsible for the design, development and optimization of the firm’s AML detection and sanctions models. We partner with colleagues across Fidelity Enterprise Risk Management to build AI-powered software and data solutions that support Fidelity’s Financial Crimes Compliance programs.
We’re seeking a passionate data scientist to assist with the ongoing transformation of the company’s Financial Crimes Compliance program!
The Team
Our team has broad responsibility for Fidelity Investments transaction monitoring and sanctions systems across multiple business units. Coverage areas include: Digital Asset Trading and monitoring of On-Chain Transfers, Insider Trading, Terrorist Financing, International Money Movement, Global Sanctions & Anti-Corruption, Elder Financial Exploitation, Negative Media screening, Market Manipulation, Securities Fraud, Low-Priced Securities, etc. Our team uses machine learning principles and new technologies while constantly aspiring to improve Fidelity’s surveillance and screening capabilities.
The Purpose of Your Role
As a Data Scientist, you will research, develop, and deliver next generation surveillance solutions on a wide range of AML typologies! These include but are not limited to, digital asset market manipulation, money laundering and crypto scams aka 'Pig Butchering', traditional markets manipulation (equities, options, cryptocurrencies), securities fraud, insider trading, elder financial exploitation, anti-money laundering and terrorist financing.
The Responsibilities of this role
Design and tune both machine learning and rules-based solutions for the Fidelity Digital Assets business
Research and develop models that identify suspicious transactions and customers
Contribute to implementation of LLM-powered solutions in support of the greater Financial Crimes Compliance organization
Work on multiple long/medium-term data science projects concurrently under moderate direction
Participate in code reviews to enable learning, collaboration and mentoring of other team members
Make presentations to update team on project progress, research and new findings
Collaborate with members of the team as well as external teams on the planning, research, development and productizing of data science solutions
Stay current with advances in ML/AI, especially in the areas of cryptocurrency, generative AI and financial crime detection
Document research findings and project progress
The Expertise You Have
Bachelor’s in Computer Science, Mathematics, Computational Statistics or related field and several years of related experience or a Master’s degree in a related field
Strong programming skills including 2+ years’ experience with Python and SQL
Experience carrying out various aspects of a data science project including exploratory analysis, data cleaning, preparation and annotation, ML pipeline design and development, model evaluation and validation
Experience with LLM frameworks and tools (e.g., LangChain, deepeval)
Familiarity with RAG architectures, prompt engineering, and fine-tuning techniques
Experience with libraries such as Spacy, NLTK, Stanford NER, scikit-learn, pandas, tensorflow, keras, pytorch, numpy
Experience with big data tools such as Spark or snowpark
Experience working with smaller data sets and a lack of labeled data
Familiarity with digital assets
Proven experience with both supervised and unsupervised machine learning algorithms such as decision trees, isolation forests, autoencoders/neural networks, linear/logistic regression, clustering, etc
Experience with general software tools/frameworks such as git, pytest, dbt
Experience with most of the following: exploratory data analysis, preprocessing and normalization of data, text wrangling, dimensionality reduction, anomaly detection, rare event modeling, statistical analysis, big data manipulation, language modeling, word embeddings, machine learning pipeline architecture
The Skills You Bring
A balance of research/data science skills combined with solid software engineering design principles, efficiency considerations, and alignment with standard methodologies (Git, documentation, test automation)
Excellent communication skills
Behavioral Attributes
Curiosity about the latest advances in machine learning/data science and their applications to the team’s work
Passionate about the digital assets space
Innovative and analytical problem solver
The Value You Deliver
You will be on the forefront of implementing new technologies into Fidelity’s Anti-Money Laundering & Screening programs, positioning the Financial Crimes Models & Analytics team to protect Fidelity and its clients.
The base salary range for this position is $97,000-185,000 USD per year.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.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.