1564 Axiom Developer jobs in New York,NY

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

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Business Development Manager, STEM Partnerships

Liberty Science Center

Jersey City, NJ 07305

Valid driver's license (required)

New, Posted 4 hours ago

Senior Manager, Business Development & Partnerships

Spectrum

New York, NY 10036

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Bachelor's Degree in Business or equivalent combination of education and work experience
3+ years of CTV programmatic sales experience in a revenue impacting capacity
6+ years of experience with proven track record of multi-million dollar sales
3+ years of people leading
3+ years of experience owning a number and managing a portfolio of demand partners at a publisher or working on other side of as a partner inclusive of SSPs, DSPs, Data/ Tech Platform, or Retail Media Networks.

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Quant Developer (MLOps)

Fidelity Investments

Jersey City, NJ 07305

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.
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
Progress towards CFA (or equivalent) a plus

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

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.
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
Progress towards CFA (or equivalent) a plus

New, Posted 21 hours ago

Software Development Job Training Program

Year Up United

New York, NY 10060

$525/wk

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor?s degree
You may be required to answer additional screening questions when applying

New, Posted 3 hours ago

AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

Onsite

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

Culinary Agents

Corporate Pastry Development Chef

Kwame Onwuachi Restaurant Group - NYC

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Maintenance Supervisor - 2nd Shift

Advanced Technology Services

Carlstadt, NJ 07072

Associate's degree or equivalent from a two-year college with a minimum of 3 years of experience in a related field or an equivalent combination of education and experience
Strong communication skills – verbal and written
Strong computer skills, including Microsoft applications, web-based applications, and CMMS software

New, Posted 1 day ago

DiversityJobs

Senior Manager, Product & Growth Marketing

Chobani

New York, NY 10012

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OnsitePaid Time OffRetirement Benefit

Immediate Opening: Laser Marking Machine Operator (Entry-Level)

Cambridge Security Seals

New York, NY

A high school diploma with an interest in manufacturing.
A performance-driven, team-oriented and customer-focused attitude/demeanor.
Good written/verbal communication skills and an impressive work ethic.
Strong attention to detail.
A strong mechanical/technical aptitude or background with a willingness to learn.
Ability to follow both written and verbal instructions in English.
Must be able to work in a production environment, and regularly lift up to 25 pounds.
Must be reliable and on time.
COVID-19 Vaccination is strongly encouraged.
This is a manufacturing facility-based position in Rockland County. You must presently live in or have a reasonable daily commute to the Rockland County area.
You must pass initial and random drug testing.