817 Mid Level Quant Developer jobs in New York,NY

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.

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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

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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.

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.

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.

New, Posted 12 hours ago

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ResumeLibrary

Forward Deployed Designer - (Remote + Onsite Miami)

BrainTrust

New York, NY 10001

Remote

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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.

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

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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.