767 Associate Technology Product Analyst jobs in New York,NY

Systems Analyst – Enterprise Automation

MassMutual

New York, NY 10012

Onsite

Bachelor's degree in Computer science, engineering or other applicable discipline
8+ years of experience in business analysis, process improvement, automation, or digital transformation roles.
5+ years of experience working with Robotic Process Automation (RPA) platforms (e.g., UiPath or similar)

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Product Install Engineer - Chemical Analysis

KLA

Totowa, NJ 07512

$30.92-$52.55/hr

New, Posted 1 day ago

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IBOR Business Systems Analyst - Investment Management Technology

MassMutual

New York, NY 10012

Onsite

Bachelor's degree
8+ years of experience with designing and implementing complex solutions
5+ years of investment data experience with an understanding of systems and data management
5+ years of experience with investment management systems (from front office to middle office, to back office)
5+ years of data analysis experience working with large data sets and multiple sources of data

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Business Analyst

Waymo

New York, NY 10261

New, Posted just now

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Product Install Engineer - Chemical Analysis - >80% travel

KLA

Totowa, NJ 07512

$30.92-$52.55/hr

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Sr Data Analyst

Argonaut Management Services

New York, NY 10261

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Senior Associate, Interest Rate Derivatives Trade Desk Support

BMO Financial

New York, NY 10007

OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

7+ years of business-related experience in the financial services industry
University Degree/College Diploma in related discipline
Strong knowledge and understanding of a range of Financial Products including: Interest Rate Derivatives, US Treasuries, Swaptions, CapFloors, Futures, etc.
Knowledge of Financial Markets and Regulatory oversight bodies
Strong written and oral communication skills
Ability to work under tight deadlines independently or in a team-based environment
Strong investigation and problem-solving skills and attention to details
Demonstrates analytical thinking and sound judgement when making decisions
Good organizational skills, highly motivated and adaptable to a changing business environment
Good understanding of business unit's risk and regulatory requirements
Good understanding of internal business partner's business, services and organization
Knowledge of departmental systems and applications supporting a range of Financial Products
Advanced Microsoft Office skills particularly in Excel

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Senior Research Analyst, Research Board

Gartner

New York, NY 10007

New, Posted 1 day ago

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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