Data Scientist - Financial Crimes Models & Analytics

Job Description:

Job Title: Data Scientist 

The Purpose of this Role

The Financial Crimes Models & Analytics team, within Fidelity’s Enterprise Compliance group, is responsible for the design, development and optimization of the firm’s Financial Crimes detection models. We partner with colleagues across Fidelity 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 firm’s Financial Crimes Compliance program. If you’re passionate about data science, technology and working with data to help fight financial crime, then this is an excellent opportunity for you! 

How Your Work Impacts the Organization

The Team

Our team has broad responsibility for Fidelity Investments transaction monitoring and sanctions systems across multiple business units. Coverage areas include: Insider Trading, Terrorist Financing, International Money Movement, Global Sanctions & Anti-Corruption, Elder Financial Exploitation, Negative Media screening, Cryptocurrency Trading/TOA monitoring, Market Manipulation, Securities Fraud, Low-Priced Securities, Emerging Risks, 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 focus on researching, developing, and delivering next generation surveillance solutions on a wide range of financial crimes typologies! These include, but are not limited to, market manipulation (equities, options, cryptocurrencies), securities fraud, insider trading, elder financial exploitation, anti-money laundering and terrorist financing.

The Value you Deliver

The Responsibilities of this role

• Research and development of machine learning technologies that identify suspicious transactions and customers

• 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, design, development and productizing of data science solutions

• Research new machine learning/data science techniques and technologies to improve team knowledge and enhance solutions

• 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

• Hands-on experience with libraries such as Spacy, NLTK, Stanford NER, scikit-learn, pandas, tensorflow, keras, pytorch, NumPy.

• Hands-on experience working with both supervised and unsupervised machine learning algorithms such as decision trees, isolation forests, autoencoders/neural networks, linear/logistic regression, clustering, etc

• Hands-on experience with general software tools/frameworks such as git, pytest, dbt

• Hands-on experience with some of the following areas: 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

• Innovative and analytical problem solver

The Value You Deliver

• Be on the forefront of implementing new technologies into Fidelity’s Anti-Money Laundering & Screening programs

• Positioning the AML & Sanctions Analytics team to continue to protect Fidelity and its clients

How your work impacts the organization

The Financial Crimes Models & Analytics team, within Fidelity’s Enterprise Compliance group, is responsible for the design, development and optimization of the firm’s Financial Crimes detection models. We partner with colleagues across Fidelity 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 firm’s Financial Crimes Compliance program. If you’re passionate about data science, technology and working with data to help fight financial crime, then this is an excellent opportunity for you! 

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