Internship Algorithmic Trading Quant Jobs in Boston, MA

Position Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Drives the improvements of systematic trading algorithms to realize low market impact, low cost, and ensure the best execution. Optimizes the implicit and explicit cost of trading decisions based on periodic performance monitoring and review. Merges systematic trading and analytics products and creates platforms that clients can use to navigate and execute in an increasingly complex market. Leads the creation of trading workflow solutions and capabilities to customers. Maintains and ensures the integrity of customer-specific trading configurations and intelligent modules. Shapes next-generation tools and statistical analysis techniques to improve performance against clients' trading objectives.

Primary Responsibilities:

• Works closely with clients to enhance their trading strategies, educate them on market structure and trading tools, and provide expert consultations to address their unique challenge.
• Oversees multi-asset class research and product development across domestic and international equities, and options.
• Demonstrates key performance indicators (KPIs) related to revenue and expense, driving the success of both trading strategies and client satisfaction.
• Works with product developers, traders, clients, and software developers to deploy electronic trading products and financial services.
• Investigates market signals, including price and volume prediction models.
• Creates and supports trading systems used to develop quantitative models for systematic trading solutions, including both configurations and intelligent modules.

Education and Experience:

Bachelor's degree in Financial Mathematics, Applied Mathematics, Financial Engineering, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Director, Electronic Trading Products (or closely related occupation) building systems and solutions for financial investment or trading decisions.

Or, alternatively, Master's degree in Financial Mathematics, Applied Mathematics, Financial Engineering, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Director, Electronic Trading Products (or closely related occupation) building systems and solutions for financial investment or trading decisions.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") analyzing and designing systems to build quantitative models for systematic trading using R and Python; developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies using R, Python, and Kdb+/Q with tick-level market data; and building automated diagnostic reporting processes for model risk management using R and Python.
• DE leveraging Transaction Cost Analysis (TCA) - pre- and post-trade transaction cost models - to compare, contrast, and analyze performance of trading algorithms for clients, including Liquidity Seeking, Percent-of-Volume, Dark, Implementation Shortfall, VWAP, TWAP, and CLOSE; designing and implementing algorithm scheduling, allocation, pricing, and lit/dark counterparty detection features to reduce trading costs; developing deep market structure knowledge, integrating various Trajectory Cross venues and Private Room liquidity in algos, to enhance trading strategies and optimize order placement.
• DE creating complex Extract, Transform, Load (ETL) mechanisms, data models, and performance tuned SQL and Kdb+/Q queries to build data pipelines for standardizing, cleansing and aggregating equity trading data; building algorithms for large-scale data processing and TCA calculations using distributed computing and parallel processing techniques; building dashboards for transaction cost performance analysis and production support with Python Dash and Kdb+/Q.
• DE designing, implementing, and supporting highly scalable, production-ready equity trading systems handling millions of orders; complying with software engineering practices using DevOps tools; performing Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning (using GitHub), batch scheduling (using Airflow), and REST APIs; and creating executables using AWS Lambda, S3, and EC2.

[Experience and/or expertise may be gained during graduate program.]

Salary: $158,000.00 to $168,000.00/year.

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Fidelity's 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.

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.