Job Description:
The Role
Asset Management Technology (AMT) provides worldwide technology and support across Investment Management, Research, Trading, and Investment Operations. We are seeking a Director-level Quant focused Technologist (Individual Contributor) to play a hands-on, leadership-level role in the design, development, and evolution of our enterprise-scale Portfolio Risk and Analytics Platform.
This role is deeply hands-on and suited for a technologist who combines strong architectural judgment with advanced software engineering skills. You will partner to design and build highly performant, data-intensive systems that support large-scale risk computation, concurrent user access, and critical analytics across multi-asset portfolios. The platform serves quantitative researchers, portfolio managers, and risk professionals globally and operates under demanding performance, scalability, transparency, and auditability requirements.
Key Responsibilities
Hands-On Engineering & Architecture
Partner on the end-to-end design and hands on development" of a next-generation portfolio risk platform, spanning backend services, APIs, data pipelines, and analytical tooling.
Build high-performance, low-latency, and horizontally scalable systems capable of processing large volumes of financial data and supporting thousands of concurrent users.
Design and implement robust computation frameworks for batch and real-time risk analytics, including large-scale simulations and scenario analysis.
Develop production-grade services using Java, and Python for analytics, orchestration, and tooling.
Design and optimize SQL-based and distributed data stores to support high-throughput analytical workloads and time-series risk data.
Risk Platform & Data Engineering
Translate quantitative risk models and methodologies into well-engineered, production-ready systems in close partnership with quantitative researchers and risk managers.
Build and optimize data ingestion, transformation, and aggregation pipelines for market data, positions, and reference data.
Ensure numerical correctness, reproducibility, transparency, and auditability of risk calculations.
Performance, Scale & Reliability
Drive performance engineering initiatives, including concurrency model design, memory management, throughput optimization, and latency reduction.
Engineer systems with high availability, fault tolerance, and operational resilience.
Apply best practices for observability, monitoring, logging, and production support in a mission-critical environment.
Technical Leadership
Act as a technical authority and senior individual contributor, influencing architecture, design standards, and engineering best practices across the team.
Conduct detailed design reviews and code reviews, setting a high bar for engineering rigor and maintainability.
Mentor and guide engineers through complex technical problems while remaining hands-on in implementation.
The Expertise and Skills You Bring
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative discipline.
10+ years of professional software engineering experience with a strong track record of hands-on technical delivery with Java.
Prior experience in risk platforms, analytics systems, or other high-performance financial systems.
Core Engineering Skills
Expert-level Java development experience, building large-scale, distributed, data-intensive analytics, model integration and multi-threaded systems.
Deep understanding of concurrency, synchronization, memory management and performance tuning.
Advanced proficiency in SQL and relational data modeling, with experience tuning queries for large analytical workloads.
Systems & Platform Engineering
Proven experience designing and building highly performant, data-intensive platforms that operate at scale.
Strong background in distributed systems, including microservices architecture, service-to-service communication, and messaging frameworks (e.g., Kafka or similar).
Experience designing APIs (REST/gRPC) for both real-time and batch analytical consumers.
Hands-on experience with cloud-native architectures, containers (Docker), and orchestration platforms (Kubernetes).
Financial & Risk Domain
Familiarity with financial instruments across asset classes (equities, fixed income, derivatives).
Exposure to portfolio risk concepts such as VaR, stress testing, scenario analysis, sensitivities, and factor models.
Experience working with large-scale market data and time-series analytics platforms.
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.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.