Data Science (Blockchain) Associate

245 Summer St, Boston MA, United States

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Job Description:

The Role

We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. This role will work in a small team of blockchain engineers and quant developers supporting the Research, Trading, Risk and Operations functions.

The Expertise and Skills You Bring

  • Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts

  • Bachelor or Masters degree in a quantitative discipline (e.g. engineering or computer science)

  • Experience in working with various blockchain implementations including EVM, Cosmos SDK, or Solana and the associated codebase

  • Proficiency in more two or more of the following languages: Python, Javacript, Go, Solidity, Rust, DAML

  • Hand-on experience with tools/frameworks like OpenZepplin, Hardhat, Ganache, Mythril, Truffles and related testing libraries like Waffle and Chai

  • Proficiency in complex data extraction or processing using Python, SQL, Snowflake

  • Familiarity with advanced quantitative techniques and models to drive optimization, classification, inferences or forecasts

  • Ability to work as a member of a highly responsive teams handling engineering critical issues from the day-to-day rigors of an operationally critical analytic environment

  • Collaborative, creative and team-oriented approach to R&D, investing and technology. Ability to work across teams whose skill sets span blockchain infrastructure, smart contracts, trading, and risk management

  • Evidenced problem-solver across highly technical and quantitative projects within financial services

The Team

Fidelity Digital Asset Management [FDAM] is building an investment platform offering digital asset products and services designed to meet the growing needs of Fidelity’s retail customers and intermediary and institutional clients. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services. Project examples include integration of vendor infrastructure, constructing models or tools, building automation across technologies, and portfolio or business analytics. As a hands-on team lead you will be expected to understand the function needs to both meet the expected outcome and continue to drive innovation.

#cryptojobs

The base salary range for this position is $85,000-$179,000 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.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Certifications:

Category:

Data Analytics and Insights
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Category: Deep Learning Jobs

Tags: Blockchain Business Analytics Classification Computer Science Data Analytics Engineering Python R R&D Research Rust Snowflake SQL Testing

Perks/benefits: Career development Health care Parental leave Salary bonus Team events

Region: North America
Country: United States

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