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Avp President Research Analyst

New York,NY

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582 Avp President Research Analyst jobs in New York,NY

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Vice President, Product Designer

BNY

New York, NY 10007

$68,000-$203,000/yr
Urgently Hiring
Recommended
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Vice President Strategic Initiatives

Confidential

New York, NY 10001

Paid Relocation to New York, NY

RemoteUrgently Hiring

  • The client is seeking a dynamic individual to join their team as an Associate, Portfolio Operations.
  • The position is part of a dedicated team responsible for managing the operations of a diverse portfolio of investments.
  • The successful candidate will work closely with various stakeholders to ensure efficient and effective portfolio management.
  • The Associate will play a key role in supporting the day-to-day operations of the investment portfolio.
  • This involves maintaining and updating financial models, preparing and analyzing financial reports, and assisting in the coordination of investment processes.
  • The candidate will collaborate with the finance and investment teams to ensure accurate and timely information flow, and will help in implementing strategies to optimize portfolio performance.
  • Qualifications and Skills: The ideal candidate will have a strong background in finance or a related field, with excellent analytical and communication skills.
  • Experience in portfolio management or a similar role is preferred.
  • The role requires attention to detail, the ability to work in a fast-paced environment, and expertise in using financial software and tools.
  • A successful associate will be proactive, adaptable, and committed to contributing to the team's success.
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Senior Vice President, Lead Service Designer

BNY

New York, NY 10007

$112,000-$190,000/yr
Recommended
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Applied Researcher II (AI Foundations)

Capital One

New York, NY 10001

New, Posted 1 hour ago
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Compliance Risk Management Lead - Vice President

JPMorgan Chase &

Jersey City, NJ 07097

New, Posted 4 hours ago
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Executive Assistant

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

  • Minimum of 4-6 years of experience in a related role.
  • Associates Degree or equivalent education level.
  • Ability to work independently and as part of a team.
  • Strong problem-solving and critical thinking skills.
  • Ability to maintain confidentiality and handle sensitive information with discretion.
  • Proven ability to work collaboratively as part of a team
  • Exceptional communication skills (both written and verbal)
  • Ability to work with a high sense of urgency while maintaining a high degree of professionalism
  • Strong organizational skills and attention to detail
  • Ability to manage multiple priorities, maintain confidentiality, and operate with poise and professionalism in a complex, high-profile, and rapidly changing environment
  • Proficiency in Microsoft Office programs (Word, Excel, PowerPoint, and Outlook)
  • Experience working with procurement systems, travel systems, and vendor systems (Workday, Concur, Apex, Totality, eMP/Ariba, ADP, etc.)
  • Experience managing multiple calendars via Outlook
  • Ability to handle medium-sized internal meeting logistics
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New, Posted 1 hour ago
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VP of Legal

Honeycomb Insurance

New York, NY 10008

iHire
Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Capital One

New York, NY 10001

New, Posted 1 hour ago
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Senior Technical Program Manager (TPM), Amazon Catalog - Product Relationships

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 7+ years of working directly with engineering teams experience
  • 5+ years of technical product or program management experience
  • 3+ years of software development experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • 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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