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Remote Senior Data Engineer
Kforce
Remote, United States
- $140,000 to $170,000 USD / year
Kforce has a client that is seeking a Remote Senior Data Engineer.
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Remote Senior Golang Engineer
Kforce
Remote, United States
- $150,000 to $170,000 USD / year
Senior Golang Engineer will design, develop, and maintain scalable backend applications and services
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Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Washington, DC
- $104,600 to $264,100 USD / year
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest…
Added 2 mins ago
AI Solutions Engineer Lead Senior
The Elevance Health Companies, Inc.
United States
The AI Solutions Engineer Lead Senior(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide…
Added 3 mins ago
MDL IT Programmer Analyst Supervisor
State of Maryland
MD
directly responsible for managing senior technical personnel-including the IT
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Senior Customer Quality Engineer
Bose Corporation, U.S.A
MI
As a Senior Customer Quality Engineer within the Automotive Global Customer Quality organization, you will directly support North American automotive OEM customers while supervising one…
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Data Engineer
Munich Re Careers
Princeton, NJ
- $120,700 USD / year
…field plus 2 years of experience as a Data Scientist, Data Engineer or closely related position involving data modeling focused on the reinsurance/insurance field. Prior experience must…
Added 4 mins ago
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Agentic AI Engineer, Vice President
State Street
Quincy, MA
- $120,000 to $217,500 USD / year
…multi-agent orchestration, security, and governance. This is a senior leadership role where you will influence technology direction across the organization, lead engineering talent, and…
Added 6 mins ago
Senior Corporate IT Security Engineer
Komodo Health
United States
You will engineer and run Corporate IT Security at Komodo Health, protecting the employee environment across identity, devices, endpoints, internal networks, workforce SaaS and AI tools,…
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Senior Principal Solution Architect, Security and Risk
ServiceNow
Dallas, TX
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 mins ago
Senior Principal Solution Architect, Security and Risk
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 mins ago
Senior Principal Solution Architect, Security and Risk
ServiceNow
Remote, United States
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Added 7 mins ago
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Contact Center Technology Engineer
AbbVie
North Chicago, IL
- $65,500 to $125,500 USD / year
The Contact Center Technology Engineer supports the delivery, operation, and continuous improvement of OneHUB contact center technology capabilities. This is a junior technical role…
Added 7 mins ago
Remote Senior GenAI Engineer
Insight Global
Newtown, PA
We are seeking a Senior AI Engineer to join a highly visible AI initiative that will transform how service coordinators create member documentation and state-required narratives.
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Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Harrisburg, PA
- $104,600 to $264,100 USD / year
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest…
Added 7 mins ago
Digital Platforms, Senior Data Engineer
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Philadelphia, PA
The Senior Data Engineer (Databricks Platform) is a senior individual contributor responsible for the hands-on design, development, optimization, and operational support of the enterprise…
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Senior Software Engineer
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Remote, United States
- $140,000 to $180,000 USD / year
We're hiring a Senior Software Engineer to build AI products our customers can feel, and to make the team around you faster while you do it.
Added 7 mins ago
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Staff Software Engineer, AI & Platform
Arketa
New York City, NY
- $180,000 to $240,000 USD / year
We're hiring a Staff Software Engineer to build AI products our customers can feel, and to make the team around you faster while you do it.
Added 7 mins ago
Senior, data engineer
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Philadelphia, PA
…platforms and beneath every experience and agent built on them. The Senior Data Engineer leads the design of production data systems for a team and its domains. The role defines the…
Added 7 mins ago
Senior, data engineer
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Philadelphia, PA
…platforms and beneath every experience and agent built on them. The Senior Data Engineer leads the design of production data systems for a team and its domains. The role defines the…
Added 10 mins ago
Sr Lead Software Engineer - Forward Deployed Engineer
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New York, NY · NY
As a Senior Lead Software Engineer at JPMorganChase within the Payments and Global Banking, Commercial & Industrial Lending division, you are an integral part of an agile team that works to…
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Sr. Front End Engineer, AWS Solutions
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Lead Product Expert
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Senior Software Engineer
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The Enterprise Data Experience team is seeking a Senior Software Engineer to design, build, and enhance

Fidelity Technology Group, LLC

Principal Quant Developer

Boston, MA, United States

$107,000 to $216,000 USD / year

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Job details

Pay: $107,000 to $216,000 USD / year
Posting language: English
Posted: Nov 2, 2026

Original job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

The Role The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including Python and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.

The Expertise and Skills You Bring

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing Python, PL/SQL databases, and quantitative techniques.

Core Engineering

Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
Working knowledge of R is a plus

Quantitative & Domain Knowledge

Strong, demonstrable knowledge of mathematics, statistics, and quantitative finance (core to this role)
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Proven track record of delivering production quant solutions in a systematic investing or trading environment
Experience with industry-scale optimization libraries (e.g., Gurobi, CPLEX, Axioma, SciPy) and portfolio construction / optimization is a strong plus
Progress towards CFA (or equivalent) a plus

Data & Infrastructure

Skilled in SQL databases (Oracle); Snowflake, NoSQL, or Graph databases a plus
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2

DevOps & CI/CD

Experience in containerization with Docker; orchestration with Kubernetes a plus
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Familiarity with observability and production support (logging, tracing, monitoring, alerting) a plus

MLOps & AI (Preferred)

Operationalizing ML models and pipelines on AWS using modern MLOps principles, including SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access, fine-tuning) and production lifecycle management
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Applying ML to quantitative investing: time series forecasting, anomaly detection, and predictive analytics
Deploying and operationalizing LLM-based / agentic workflows in production (e.g., LangGraph, LangChain), including orchestration, tool use, monitoring, and evaluation
Awareness of responsible AI governance practices

Collaboration & Communication

Strong communication and problem-solving skills; partners effectively with quant researchers and investment teams to deliver solutions through the full development lifecycle

The Team The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.

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.

The base salary range for this position is $107,000-216,000 USD per year. 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.

Certifications:

Category:

Information Technology

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More about this job

Skills

Research
Risk management
Python
Oracle PL/SQL
Computer science
Financial engineering
Computer technology
Statistics
Object-oriented programming
Unit testing
Data analysis
Forecasting
SciPy
CFA
SQL
Oracle
Snowflake
NoSQL
Scheduling
Apache Airflow
API development
FAST
Flask
AWS
DevOps
CI/CD
Docker
Kubernetes
Linux
Jenkins
GitHub
Infrastructure as code
ML
Mlflow
LangChain
Collaboration
Communication skills
Problem solving
Decision making
Securities

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