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AM Quantitative Analyst I

FMR LLC

  • Boston, MA
  • 3 days ago
  • Remote

    Highlights

    Candidate must also possess Demonstrated Expertise DE" building quantitative models by transforming complex open-source and third-party vendor data into curated signals at the corporate issuer level relating to ESG factors to be used in alpha generation portfolio construction and to enhance investment decision-making using Python. Bachelors degree in Computer Science Engineering Finance Statistics or a closely related field or foreign education equivalent and three 3 years of experience as an AM Quantitative Analyst I or closely related occupation performing alpha modeling portfolio construction and risk management research using Python within am investment management environment.
    FMR LLC

    Numbers & Facts

    LocationBoston, MA (
    Remote
    )
    IndustryBanking
    Company Size10,000 employees or more
    Year Founded1946
    Websitehttps://jobs.fidelity.com/

    Description

    Job Description

    Note Fidelity will not provide immigration sponsorship for this position.

    Position Description

    Performs quantitative research analysis and coordinates with other analysts portfolio managers and stakeholders across the firm to conduct research and development on quantitative Environmental Social and Governance ESG factors models and ratings. Delivers portfolio construction and risk analytics to support the companys funds and research efforts. Assists with the implementation of systematic ESG ratings assessments of portfolio sustainability characteristics quantitatively based portfolio construction ESG risk management and alpha generation analytics. Programs using Python R MATLAB SQL and VBA. Handles financial packages using portfolio management tools -- FactSet and Bloomberg. Employs financial models to develop solutions to financial problems or to assess the financial or capital impact of transactions. Evaluates capital needs of clients and assesses market conditions to inform structuring of financial packages.

    Primary Responsibilities

    Implements quantitatively based equity alpha generation portfolio construction and risk management analytics. Procures data and creates quantitative factors and models to facilitate the research and portfolio construction process. Conducts research on new factors and data sets. Creates models to facilitate the research and portfolio construction process. Evaluates new risk models develops screening tools collects and conducts research on data for other quantitative analysts or portfolio managers. Contributes to large scale initiatives with business partners across the enterprise. Runs portfolio optimizations and provides research to fund managers through portfolio analyses or other empirical studies. Informs investment decisions by analyzing financial information to forecast business industry or economic conditions. Interprets data on price yield stability future investment-risk trends economic influences and other factors affecting investment programs.

    Education and Experience

    Bachelors degree in Computer Science Engineering Finance Statistics or a closely related field or foreign education equivalent and three 3 years of experience as an AM Quantitative Analyst I or closely related occupation performing alpha modeling portfolio construction and risk management research using Python within am investment management environment. Masters degree in Computer Science Engineering Finance Statistics or a closely related field or foreign education equivalent and no experience.

    Skills and Knowledge

    Candidate must also possess Demonstrated Expertise DE" building quantitative models by transforming complex open-source and third-party vendor data into curated signals at the corporate issuer level relating to ESG factors to be used in alpha generation portfolio construction and to enhance investment decision-making using Python. DE researching and developing new systematic strategies using optimization techniques and performance attribution methods to meet diverse product needs of institutional and household clients using back testing frameworks and multi factor risk model Barra. DE generating investment insights from company filings and data estimation where information is missing or incomplete using Machine Learning ML Natural Language Processing NLP and Large Language Models LLMs. DE performing ad hoc data analysis and modeling with alternative and traditional financial data using Python and data extraction from SQL queries against relational databases Snowflake to enhance security selection and portfolio construction for portfolio managers and analysts. Expertise may be gained during graduate degree program.

    Salary

    135000.00 - 175000.00year. PE1M2 LI-DNI

    Fidelitys Onsite Working Model

    Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently some roles and locations require 100 onsite presence while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

    Certifications

    CategoryInvestment Professionals

    Please be advised that Fidelitys 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 andor associating with individuals with certain Criminal Histories.

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    From our fully paid parent leave to our on-site health and wellness centers our benefits support the belief that more balance you have the better you can achieve your goals.

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    Company overview

    Company overview

    At Fidelity we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.

    Reasonable accommodations

    Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodationsfmr.com or by calling 800-835-5099 prompt 2 option 3.

    Equal opportunity employer

    Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

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    At Fidelity we value honesty integrity and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal civil litigations and regulatory review employment education and credit review role dependent. These investigations will account for 7 years or more of history depending on the role. Where permitted by federal or state law Fidelity will also conduct a pre-employment drug screen which will review for the following substances Amphetamines THC marijuana cocaine opiates phencyclidine.

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    About Company

    We help over ~40 million people feel more confident in their most important financial goals, manage employee benefit programs for nearly 23,000 businesses, and support more than 3,600 advisory firms* with innovative investment and technology solutions to grow their businesses. Our diverse businesses and independence give us insight into the entire market and the stability needed to think and act for the long term as we deliver value to you.

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