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Algorithm And Analytics Consultant

New York,NY

818 Algorithm And Analytics Consultant jobs in New York,NY

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Principal Engineer - Python API Development

Fidelity Investments - Hoboken, NJ

Fidelity Investments - Hoboken, NJ

Principal Engineer - Python API Development
~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
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Associate Director, Patient and Provider Analytics - Neuroscience

Novartis Group Companies

East Hanover, NJ 07936

$145,600-$270,400/yr
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iHire
AI Engineer

Capital One

New York, NY 10001

New, Posted 1 day ago
ResumeLibrary
Sales Consultant II - Hudson County NJ - NYC - Career Growth Opportunities

GUEST SUPPLY

New York, NY 10012

New, Posted 18 hours ago
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Senior Associate, Supply Chain Consulting - Source 2 Pay - Coupa/Ariba/Ivalua

KPMG

New York, NY 10025

Onsite

  • Minimum three years of recent experience in Source-to-Pay, Procurement Transformation, Finance Transformation in Management Consulting or Industry
  • Bachelor's degree in Supply Chain, Finance, Information Systems or a related field from an accredited college/university
  • Demonstrated hands on experienced delivering end to end S2P or P2P initiatives including strong functional knowledge of S2P process and leading practices
  • Practical understanding of AI and analytics-enabled capabilities in procurement and finance, with the ability to translate use cases into business value
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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Data Analytics JOB Training Program

Year Up United

New York, NY 10261

$525/wk
Onsite

  • A high school graduate or GED recipient
  • Eligible to work in the U. S.
  • Highly motivated to learn technical and professional skills
  • Have not obtained a Bachelor's degree
  • You may be required to answer additional screening questions when applying
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Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 16 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 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
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Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote
New, Posted 1 day ago
ResumeLibrary
Sales Consultant II - Hudson County NJ - NYC - Career Growth Opportunities

GUEST SUPPLY

Jersey City, NJ 07308

New, Posted 18 hours ago
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Senior Associate, Data Engineer - Databricks

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
  • Preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
  • Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Hands-on technical experience with SQL and Apache Spark
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed
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Remote Customer Service

Hire Standard Staffing

New York, NY

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
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