Director, Quant Development (Java)

Fidelity InvestmentsJersey City, NJ
2d$126,000 - $255,000Hybrid

About The Position

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.

Requirements

  • 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.
  • 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.
  • 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).
  • 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.

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.

Benefits

  • 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.
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