Jobs2Careers logoHome

Mid Level Quant Developer

New York,NY

Commute Time
Date Posted
Title
Job Type
Benefits
Pay

817 Mid Level Quant Developer jobs in New York,NY

New, Posted 17 hours ago
Recommended
Apply Directly
Principal Quant Developer (MLOps)

Fidelity Investments

Jersey City, NJ 07305

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
  • 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
  • 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 R, Python, PL/SQL databases, and quantitative techniques.
  • 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
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • 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
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • 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 R and 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
SmartExplore AI is experimental.
View now
Recommended
Apply Directly
Border Patrol Agent – Entry Level (Up to $60K Incentives)

United States Customs and Border Protection

Saddle River, NJ 07458

$49,739-$89,518/yr
Bilingual Preferred
New, Posted 17 hours ago
Recommended
Apply Directly
Principal Quant Developer (MLOps)

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
  • 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
  • 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 R, Python, PL/SQL databases, and quantitative techniques.
  • 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
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • 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
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • 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 R and 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
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
Recommended
Easy Apply
Work From Home Insurance Sales - Entry Level

Globe Life - Moore Organization

New York, NY

RemoteRetirement Benefit

  • Candidates must be based in New York to be considered.
SmartExplore AI is experimental.
View now
Easy Apply
Teach Kindergarten at Success Academy – Entry Level to Experienced Teaching

Success Academy Charter Schools

Brooklyn, NY 11234

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree before your first day of work with Success Academy (a background in education is not required).
  • Strong communication and interpersonal skills.
  • Passion for learning and commitment to student development.
  • Ability to work in person in New York City.
SmartExplore AI is experimental.
View now
New, Posted 12 hours ago
Recommended
ResumeLibrary
Forward Deployed Designer - (Remote + Onsite Miami)

BrainTrust

New York, NY 10001

Remote
Apply Directly
Senior Associate - Infrastructure, Capital Projects & Climate Advisory (Project/Program Development & Finance)

KPMG

New York, NY 10025

Onsite

  • Minimum two years of recent experience in relevant project finance, advisory, or development roles
  • Bachelor's degree from an accredited college or university in business, finance, engineering, or a related field is required
  • Experience with financial modeling or econometric modeling
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
SmartExplore AI is experimental.
View now
New, Posted 9 hours ago
Food Safety and Sanitation Supervisor

Six Flags Great Adventure Careers

Old Bridge, NJ 08857

$17/hr
New, Posted 23 hours ago
iHire
Line Cook

Rainbow Room / Tishman Speyer

New York, NY 10112

$26/hr
Apply Directly
Refrigeration Technician

Advanced Technology Services

Carlstadt, NJ 07072

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High School Graduate or equivalent (GED).
  • Associates degree with a Technical focus and 5 years of related experience in specific industry; or, 7 years of experience in specific industry.
  • Experience in predictive technologies, precision alignments, and general maintenance of applicable process equipment.
  • Understands electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs.
  • Must be able to use basic hand tools and specialized tools as appropriate.
  • Experience in vibration analysis or laser interferometer operations, precision alignments, and maintenance of applicable process equipment.
  • May be required to travel.
  • The physical demands include ability to stand, walk, use hands, reach, climb, lift more than 50 pounds, and work in a loud factory environment.
SmartExplore AI is experimental.
View now

Recent Searches

    Browse Jobs in Top Cities

    Browse Jobs by State

    Browse Jobs by Title

    Post a Job

    About

    Advice

    Contact

    © 2026 Jobs2Careers. All rights reserved.

    Privacy Policy

    Terms of Use

    Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

    Logos provided by Logo.dev

    Jobs2Careers Powered by Talroo

    Privacy Policy, Terms of Use, and Your Privacy Choices

    Browse Jobs in Top Cities

    Browse Jobs by State

    Browse Jobs by Title

    Post a Job

    About

    Advice

    Contact

    © 2026 Jobs2Careers. All rights reserved.

    Privacy Policy

    Terms of Use

    Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

    Logos provided by Logo.dev

    Jobs2Careers Powered by Talroo