Top 52 algorithm aws cloud docker Jobs in new york, ny

Principal Quant Developer (MLOps)
Fidelity Investments —Jersey City, NJ
- $107,000 - $216,000 a year
- Full-time
- Computer Science
- System design
- Math
- Loan repayment program
- Tuition reimbursement
5d
Full Stack + AI Engineer
Gesture —New York, NY
- $75,000 - $150,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- AWS
- Health insurance
Quick Apply
Senior Bioinformatics Programmer
NYU Langone Health —New York, NY
- $84,577.92 - $105,039.78 a year
- Hybrid work
- Computer science
- Computer Science
- 3 years
- Wellness program
3d
Senior Software Engineer II
Confluent —New York, NY
- $197,400 - $232,000 a year
- Full-time
- Remote
- Computer science
- 7 years
- Azure
Software Engineer
Imprint —New York, NY
- $140,000 - $180,000 a year
- Full-time
- Hybrid work
- System design
- Mid-level
- Java
- Paid parental leave
- Health insurance
Data Engineer
Child Mind Institute —New York, NY
- $119,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
Quick Apply
1d
Software Engineer II
Progyny, Inc —New York, NY
- $115,000 - $150,000 a year
- Email
- Computer science
- Computer Science
- HIPAA
- Health insurance
- Dental insurance
AI Engineer
Metropolitan Commercial Bank —New York, NY
- $130,000 - $200,000 a year
- Azure
- 6 years
- Computer Science
Senior AI Engineer - SFL Scientific
Deloitte —New York, NY
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
9d
Software Engineer, Machine Learning Platform
The New York Times —New York, NY
- $110,000 - $130,000 a year
- On call
- Hybrid work
- Mid-level
- AWS
- Software development
- Paid parental leave
- Health insurance
Senior Data Engineer, AI for Drug Discovery
Genentech —New York, NY
- $141,100 - $262,200 a year
- Online Application
- 7 years
- System design
- SQL
Applied AI ML Engineer-Vice President
JPMorganChase —New York, NY
- $164,350 - $260,000 a year
- Full-time
- Computer Science
- Master's degree
- Doctor of Philosophy
- Health insurance
- Tuition reimbursement
Applied AI ML Engineer-Senior Associate
JPMorganChase —New York, NY
- $128,250 - $195,000 a year
- Full-time
- Computer Science
- Mid-level
- Master's degree
- Health insurance
- Tuition reimbursement
Principal AI/ML Engineer - AdTech
Zeta Global —New York, NY
- $300,000 - $400,000 a year
- System design
- Java
- AWS
- Health insurance
- Dental insurance
11d
Senior Software Engineer - Data Platform
Pearly —New York, NY
- $160,000 - $225,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health insurance
Quick Apply
Data Scientist
Tata Consultancy Services —New York, NY
- $100,000 - $140,000 a year
- Research
- Java
- AWS
- Commuter assistance
- Health insurance
Lead Software Engineer
Disney Entertainment and ESPN Product & Technology —New York, NY
- $163,100 - $218,700 a year
- On call
- 7 years
- Computer Science
- System design
12d
Derivatives Engineer
Galaxy —New York, NY
- $180,000 - $200,000 a year
- Computer science
- 6 years
- Computer Science
- Paid parental leave
- Health insurance
Applied AI/ML Senior Associate - Payments
JPMorganChase —New York, NY
- $128,250 - $195,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Tuition reimbursement
4d
Sr Software Engineer
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- On call
- Azure
- Computer Science
- 5 years

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algorithm aws cloud docker jobs near new york, ny

Principal Quant Developer (MLOps)

Fidelity Investments -
Jersey City, NJ

Apply Now

Job Details

Full-time
$107,000 - $216,000 a year
5 days ago

Benefits

Loan repayment program
Tuition reimbursement
Paid time off
Parental leave

Qualifications

Software engineering
Time series models
Test Automation Development (Quality assurance practices)
Engineering development testing
Software implementation
Implementing APIs
Probability theory
DevOps automation
PL/SQL

Full Job Description

Job Description:

Principal Quant Developer

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 R, 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.

You will possess:

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 R, Python, PL/SQL databases, and quantitative techniques.

The Expertise and Skills You Bring

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
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability

Data & Infrastructure

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

DevOps & CI/CD

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

MLOps & AI Infrastructure

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

Quantitative & Domain Knowledge

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

Collaboration & Communication

Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams
A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices

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.

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.

Refine Your Search

algorithm aws cloud docker jobs in new york, ny

Principal Quant Developer (MLOps)

Full Stack + AI Engineer

Senior Bioinformatics Programmer

Senior Software Engineer II

Software Engineer

Data Engineer

Software Engineer II

AI Engineer

Senior AI Engineer - SFL Scientific

Software Engineer, Machine Learning Platform

Senior Data Engineer, AI for Drug Discovery

Applied AI ML Engineer-Vice President

Applied AI ML Engineer-Senior Associate

Principal AI/ML Engineer - AdTech

Senior Software Engineer - Data Platform

Data Scientist

Lead Software Engineer

Derivatives Engineer

Applied AI/ML Senior Associate - Payments

Sr Software Engineer

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