Job Description

Designs and develops high-performance quantitative systems that support trading, risk management, and investment analytics. Integrates complex financial data from market data feeds, internal and external sources, ensuring accuracy, consistency, and timeliness. Develops scalable ETL pipelines and data infrastructure to support real-time and batch processing. Collaborates with research, trading, and technology teams to translate investment strategies into robust, production-grade systems. Designs and develops Oracle database architectures, including stored procedures, performance tuning, and data modeling to support financial data workflows.

Primary Responsibilities:

• Architects the development of quantitative platforms that support multi-asset trading, portfolio analytics, and risk modeling.
• Designs and optimizes data pipelines and storage solutions for large-scale financial datasets, ensuring low-latency access and high reliability.
• Collaborates with quantitative researchers to implement and validate models, translating research into scalable production code.
• Applies advanced statistical and machine learning techniques to enhance investment decision-making and model performance.
• Leads cross-functional initiatives involving data engineering, model deployment, and system integration across trading and research teams.
• Mentors and guides junior developers and quants, fostering technical excellence and best practices.
• Drives innovation in system architecture, algorithm design, and data strategy to support evolving business needs.
• Ensures rigorous testing, validation, and documentation of all systems and models in accordance with regulatory and operational standards.
• Acts as a technical and strategic thought leader in the quant development space, influencing long-term technology and investment direction.
• Recommends development tools, testing methodologies, and validated model performance.
• Provides technology and quantitative solutions to daily issues and delivers technical evaluation estimates for strategic initiatives.
• Advices senior management on quantitative and technical strategy.
• Performs independent and complex quantitative, technical, and functional analysis for multiple projects across several business initiatives.
• Develops original and creative solutions to ongoing quantitative development efforts.

Education and Experience

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Quant Developer (or closely related occupation) designing and developing Operational Data Store (ODS) and warehousing applications within a prime brokerage environment, using Oracle PL/SQL.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Quant Developer (or closely related occupation) designing and developing Operational Data Store (ODS) and warehousing applications within a prime brokerage environment, using Oracle PL/SQL.

Skills and Knowledge

Candidate must also possess:

• Demonstrated Expertise (“DE”) developing quantitative research software to implement statistical and econometric techniques -- including linear regression, volatility modeling, and time series decomposition -- to support portfolio construction, risk analytics, and index strategy development across equities, fixed income, and multi-asset classes, using Python, Pandas, and NumPy.
• DE building modular index construction frameworks, implementing rebalancing engines, and weighting models (market cap, equal-weighted, and factor-based), and corporate action processing, by developing internal libraries, Application Programming Interface (APIs), and schema handlers using Python and SQL.
• DE analyzing, architecting, and developing Oracle and DB2 database applications, data warehouses, and operational data stores within a UNIX environment; creating batch jobs to process high-frequency, low-latency data pipelines for ingesting and transforming real-time market data from Bloomberg, Refinitiv, and Inter Continental Exchange (ICE), using Kafka, Tibco Rendezvous, and Amazon Web Services (AWS) Lambda; integrating data across Oracle, SQL Server, and Sybase; and applying Golden Gate and IBM’s Replication (QREP) for cross-database synchronization to support compliance reporting and risk monitoring.
• DE designing prime brokerage rules-based compliance reports using SQL Server RDL and Geneva RSL; building real-time data exchange pipelines using messaging frameworks -- Oracle Advanced Queue, Tibco Rendezvous, IBM MQ, and Kafka; and implementing secure file transfer using AXWAY and AWS Transfer Family with Lambda functions for event-driven processing.

Salary: $189,592.00 - $199,592.00/year.

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Certifications:

Category:

Information Technology

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.