Job Description

Job Description:

Position Description :

Develops models and performs financial analysis to evaluate trading tools for systematic trading processes within relational databases, using programming tools (Python, KDB/Q, R, MATLAB, JAVA, SQL, and C++). Develops analytics and visualizations, offline and in real-time, using Tableau. Drives the core capabilities of a systematic trading effort through data analysis, model building, and by developing and coding trading strategies. Implements mathematical modeling applied to trading for post-trade analysis and strategy development. Collaborates with traders, quantitative analysts, data scientists, and developers/engineers to advance systematic trading efforts in Equity markets.

Primary Responsibilities:

• Develops processes for the handling and storage of financial data used in systematic trading.
• Supports and participates in quantitative efforts on the trading desk.
• Develops new tools and capabilities to solve novel problems facing the trading desk.
• Creates charts and graphs to illustrate technical reports.
• Contributes to the design and development of automated systematic trading systems.
• Employs financial models to develop solutions to financial problems or to assess the financial impact of transactions.
• 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 :

Bachelor s degree (or foreign education equivalent) in Business Administration, Business Analytics, Computer Science, Engineering, Finance, Information Systems, Management, or a closely related field and six (6) years of experience as an Equity Trader II (or closely related occupation) developing models and performing quantitative analysis in support of the systematic trading effort using programming tools (Python, KDB/Q, R, SQL, and Tableau) and large scale structured and unstructured data.

Or, alternatively, Master s degree (or foreign education equivalent) in Business Administration, Business Analytics, Computer Science, Engineering, Finance, Information Systems, Management, or a closely related field and four (4) years of experience as an Equity Trader II (or closely related occupation) developing models and performing quantitative analysis in support of the systematic trading effort using programming tools (Python, KDB/Q, R, SQL, and Tableau) and large scale structured and unstructured data.

Skills and Knowledge :

Candidate must also possess:

• Demonstrated Expertise (\u201CDE\u201D) designing and building decision support tools, mathematical models and recommendations for improving investment trading process; generating pre-trade and post-trade analytics, transactional cost analysis (TCA) metrics to evaluate trading performance and underlying factors that drive trading costs for US, Europe, and Asia using extensive internal data and external market data; and leveraging tools -- KDB/Q, SQL, Tableau, Snowflake, and Excel.
• DE developing quantitative metrics, conducting advanced analysis, developing detail-oriented visualizations for analyzing and/or evaluating trading systems, processes using KDB/Q, Tableau, Snowflake, Python, SQL, and Oracle; automating data generation process, identifying and alerting of data quality issues; and undertaking ad hoc analysis in timely manner on extensive set of subject areas for internal or external reporting purposes.
• DE performing full-stack systems analysis, design and development of complete analytical platforms -- gathering requirements, documentation, performing data mining, functional design, required coding for data generation, developing the visualization -- using large scale data hosted in Snowflake or Oracle by creating and managing data generation process in KDB/Q, Python, Snowflake -- Snowflake tables, views, and stored procedures; and working across teams to collaborate hosting code or applications on shared technology stack.
• DE leading and collaborating with Trading and Asset Management technology groups on large scale data projects which directly relate to everyday functioning of quantitative analysts and the larger equity trading organization with at most importance on data quality; and continuously educating and enabling technology partners for long term stability in data systems.

#PE1M2

Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients money.

Join Us

At Fidelity, you ll find endless opportunities to build a meaningful career that positively impacts peoples lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a

Glassdoor Employees Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don t need a finance background to succeed at Fidelity\u2014we offer a range of opportunities for learning so you can build the career you ve always imagined.

Fidelity s hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

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,

detailed in this document, 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.

We invite you to Find Your Fidelity at

fidelitycareers.com.

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.

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

accommodations@fmr.com.

Job Tags

Work experience placement, Remote job, Work from home, Flexible hours,

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