1005 Analyst Risk Modeling jobs in New York,NY

PolyPath Market Risk Specialist

Santander Holdings USA

New York, NY 10022

Onsite

Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
Expert-level knowledge of PolyPath
Strong experience in market risk, preferably within banking or capital markets
Strong programming skills in Python and Java
Solid understanding of fixed income products, pricing, valuation, and risk analytics
Experience supporting risk models, valuation tools, pricing engines, or market risk platforms
Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms
Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams
Experience working in a large banking, financial services, or regulated financial institution environment
10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred
Work authorization to be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

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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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Head of Market Risk for US Credit Trading, Executive Director

Santander Holdings USA

New York, NY 10022

Onsite

Bachelor's Degree (Business/Finance or Engineering/Computer Science) - Required.
12+ Years Risk Management/Controls - Required.
In-depth understanding of (hybrid) credit products (cash and derivatives) as well as common hedging instruments used for those products (e.g., rates, equity)
Ability to advise trading desks on risk taking/mitigation and (regulatory) capital usage.
Strong cross-functional expertise (e.g., Finance, Model Risk Management, Technology).
Solid knowledge of regulatory standards, market risk methodologies (e.g., VaR/SVAR, ES, CCAR, stress testing) and analytics used by Cat III firms (e.g., GMS).
Solid quantitative skills (e.g., statistics, probability theory, derivatives valuation).
Superior verbal and written communication skills including the ability to tailor a message to the relevant audience (e.g., trading desk, senior management, regulators, quantitative developers).
Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across businesses, functions, geographies and lines of defense.
Basic knowledge of AI tools (e.g., ChatGPT, Microsoft Copilot).
Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

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Private Equity P&C Underwriting Specialist OR Executive Underwriter (Middle Markets)

Zurich Insurance Company

New York, NY 10001

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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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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
An advanced degree is a plus
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
API-first platform design and developer experience best practices
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
Demonstrated strength in partnership-building and cross-functional collaboration
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
4 days in the office per week, with the flexibility to work from home 1 day a week

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Senior Associate - Portfolio Valuation

KPMG

New York, NY 10001

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Director, Provider Education & Risk Adjustment

MJHS

New York, NY 10040

Requires Travel

Bachelor's Degree required or comparable work experience will be considered.
Minimum 5 years of experience in professional services, including practice management, nursing, clinical documentation improvement or quality audit.
In-depth knowledge of medical terminology, anatomy and physiology, pharmacology, and pathology required.
Extensive knowledge of coding and documentation requirements including ICD-10-CM, CPT-4, and HCPCS.
Excellent verbal and written communication skills, analytical skills, and organization skills required.
Extensive problem-solving experience is required.
Experience working with physicians and physician practices.
Goal-oriented and experience with development and implementation of action plans.
Excellent customer service required.
Ability to interact with public in a diplomatic and tactful manner and represent the Health Plan effectively.
Ability to manage relationships with assigned practices and maintain records of all activities.
Ability to develop action plans as required.
Proficient computer skills.
Self-motivated with the ability to work with minimal supervision.

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