Director, Data Science at Fidelity Investments

Durham, North Carolina, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or closely related field (or foreign equivalent) and 6 years of experience as Director, Data Science (or closely related) building algorithms using Python, C++, Java, or Spark and ML/DL frameworks (scikit-learn, TensorFlow, PyTorch, or Keras) to deploy applications in financial services environment
Or, Master’s degree in Data Analytics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or closely related field (or foreign equivalent) and 4 years of experience as Director, Data Science (or closely related) building algorithms using Python, C++, Java, or Spark and ML/DL frameworks (scikit-learn, TensorFlow, PyTorch, or Keras) to deploy applications in financial services environment
Demonstrated Expertise performing advanced statistical modelling to develop, analyze, and evaluate supervised and unsupervised ML algorithms using Neural Networks (RNNs, Seq-to-Seq, BERT, Adversarial Networks, LSTMs), Feature Selection, Clustering (Uniform Manifold Approximation and Projection)
Proficiency in programming languages (Python, C++, Java)
Experience with ML (scikit-learn) and DL frameworks (PyTorch, TensorFlow)
Experience creating Web applications with front-end technologies (React.js)
Experience developing AI models on Cloud platforms (AWS SageMaker)
Experience with visualization dashboard tools (Tableau, Qlik Sense)
Experience using Jira for collaboration with Product Owner, defining tasks, and managing stories
Experience with AI/ML lifecycle management (MLflow, Jenkins, Amazon SageMaker Pipelines) including model versioning, data drift monitoring, and MLOps

Responsibilities

Build algorithms using programming languages (Python, C++, Java), ML (scikit-learn), and DL frameworks (PyTorch, TensorFlow)
Collect requirements and deliver AI/ML solutions driving customer and business value
Create Web applications using front-end technologies (React.js)
Develop AI models on Cloud platforms (AWS SageMaker)
Use visualization dashboard tools (Tableau, Qlik Sense) for result monitoring
Collaborate with Product Owner to define tasks for sprints and manage stories using Jira
Oversee end-to-end AI/ML lifecycle management, including model versioning, data drift monitoring, and MLOps standards using MLflow, Jenkins, or Amazon SageMaker Pipelines
Develop and deploy AI models addressing business needs by understanding problems, researching solutions, and prototyping
Work with AI teams, business stakeholders, and deployment teams for alignment with objectives
Train and deploy advanced DL and NLP models (RNNs, Seq-to-Seq, BERT, Adversarial Networks, LSTMs, GANs) at scale
Perform orchestration of training workflows, inference endpoints, and batch predictions
Perform model evaluation, tuning, and scalability using distributed systems, parallel/multi-threaded programming, and GPU environments
Support operational deployment of AI/ML solutions
Lead full AI/ML lifecycle (data ingestion, model development, training, deployment, monitoring)
Develop/deliver projects with large-scale multi-dimensional databases and big data technologies in collaboration with cross-functional teams
Evaluate and decide on new/existing tools for projects
Analyze user needs and develop software solutions using computer science, engineering, and mathematical principles
Research, design, and develop computer/network software or specialized utility programs

Skills

Key technologies and capabilities for this role

PythonC++Javascikit-learnPyTorchTensorFlowReact.jsAWS SageMakerTableauQlik SenseJiraMLflowJenkinsAmazon SageMaker PipelinesNLPBERTRNNsLSTMsGANsMLOps

Questions & Answers

Common questions about this position

What programming languages and frameworks are required for this role?

The role requires building algorithms using Python, C++, or Java, along with Machine Learning frameworks like scikit-learn and Deep Learning frameworks such as PyTorch or TensorFlow.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What education and experience are required for the Director, Data Science role?

A Bachelor’s degree in a relevant field and six years of experience as a Director, Data Science (or similar) building algorithms with specified languages and ML/DL frameworks in financial services is required, or alternatively a Master’s degree.

What collaboration is involved in this role?

The role involves close collaboration with the Product Owner to define tasks using Jira, as well as working with AI teams, business stakeholders, deployment teams, and cross-functional teams.

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

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