Fidelity's Financial Crimes Models & Analytics team needs to protect the firm and its clients from financial crime by designing, developing, and optimizing AML detection and sanctions models. They are looking for a data scientist to assist with the transformation of the company's Financial Crimes Compliance program using innovative data science techniques and AI-powered solutions.
Requirements
- 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
- Proven experience with both supervised and unsupervised machine learning algorithms such as decision trees, isolation forests, autoencoders/neural networks, linear/logistic regression, clustering, etc
Responsibilities
- 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
Other
- Note: Fidelity will not provide immigration sponsorship for this position.
- 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.
- Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office.
- Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
