Director, Data Science at Fidelity Investments

Boston, Massachusetts, United States

Fidelity Investments Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, TechnologyIndustries

Requirements

  • PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years of industrial experience
  • Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
  • Experience taking a model from research to production and realizing measurable value from it to the team or firm
  • Ability to work on and drive progress for multiple projects at the same time
  • Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
  • Excellent planning, project management, leadership, and research skills
  • Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
  • Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
  • Experience or strong interest in quantitative finance and modeling financial markets
  • Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results

Responsibilities

  • Leads machine learning projects with diverse scope and complex business and technical challenges
  • Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs
  • Oversees end-to-end process to push code from research to production
  • Delivers results with clear and measurable impact to the business
  • Consults with senior business and technology partners to identify priorities and establish analytic goals
  • Executes on direction for data identification, collection and qualification activities
  • Presents reports and findings to senior technical and non-technical audiences
  • Enjoys collaboration and revels in working as part of a team to solve deep applied problems

Skills

Key technologies and capabilities for this role

PythonMachine LearningData ScienceModel DeploymentProject ManagementLeadershipData VisualizationStatisticsAI/ML Use CasesInference Tools

Questions & Answers

Common questions about this position

What is the base salary range for the Director, Data Science position?

The base salary range is $126,000-255,000 USD per year, with placement varying based on job responsibilities, scope, geographic location, candidate’s relevant experience, and other factors.

What additional compensation is offered besides base salary?

Base salary is only part of the total compensation package, and depending on the position and eligibility requirements, the offer may include bonus or other variable compensation.

What education and experience are required for this role?

A PhD or Master’s in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML) is required, along with 6+ years of industrial experience.

What key technical skills are needed for this position?

Deep expertise in Python and data-centric ML techniques including engineering principles for building efficient inference tools is required, along with experience taking a model from research to production.

What is the team like at Fidelity Investments for this role?

This is a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical that partners with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions with a focus on applied problems from research to production.

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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