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AI & Finance Jobs in New York City

New York City is the undisputed global epicenter of AI-powered finance. The city's unique density of major banks, hedge funds, fintech startups, and Big Tech offices creates the largest concentration of AI finance jobs anywhere in the world. JPMorgan Chase — the largest U.S. bank by assets — employs thousands of data scientists and ML engineers across its midtown Manhattan headquarters and Jersey City technology campus. Goldman Sachs has built an internal ML platform team that supports trading, risk, and compliance functions. Morgan Stanley uses large language models to power its wealth management advisor tools, while Citi's innovation lab in Long Island City explores everything from blockchain settlement to AI-driven credit analytics.

Beyond traditional banking, New York hosts the headquarters of some of the world's most prestigious quantitative hedge funds. Citadel, Point72, and D.E. Shaw all operate major NYC offices where ML engineers and quantitative researchers build proprietary trading infrastructure, alpha-generation pipelines, and real-time risk systems. Two Sigma, based in SoHo, is known for treating systematic investing as a technology problem and hires heavily from top ML PhD programs. These firms compete directly with Big Tech for top talent, often offering total compensation packages that rival or exceed Google and Meta.

New York's fintech scene adds another layer. Ramp, headquartered in Manhattan, uses ML for corporate expense intelligence. Plaid's NYC engineering office works on financial data connectivity. Brex, Affirm, and numerous earlier-stage startups maintain New York offices to stay close to banking partners and enterprise customers. The city also hosts AI infrastructure companies and research labs — Google DeepMind, Meta FAIR, and Anthropic all have significant NYC presence, with finance-adjacent roles in strategic finance, FP&A, and corporate development.

For candidates, New York offers an unmatched network effect: the density of financial institutions, tech companies, recruiters, and industry events means career transitions between finance and AI are more feasible here than anywhere else. Whether you're an ML engineer at a tech company looking to apply your skills at a hedge fund, or a banker pivoting into AI strategy, NYC has the broadest set of opportunities.

Who This Is For

  • ✓ML engineers and data scientists seeking hedge fund or bank roles in NYC
  • ✓Wall Street professionals looking to pivot into AI-focused positions
  • ✓Quantitative researchers and developers targeting NYC-based funds
  • ✓Fintech engineers interested in NYC startups like Ramp, Plaid, and Brex
  • ✓AI researchers exploring industry roles at NYC-based labs and companies

Open AI Finance Roles in New York

23 roles
Point72 logo
Recently VerifiedFeatured

NLP Engineer

Point72

NLP Engineer at Point72's quant research team developing LLMs, agents, and RAG systems to extract investment signals from textual data.

Best for NLP engineers and ML researchers interested in applying LLMs to investment signal generation.

ML EngineeringAsset ManagementOn-site
New York, NY$150K – $250K
Citadel Securities logo
Recently Verified

Machine Learning Researcher — Options

Citadel Securities

Apply cutting-edge ML research to options market-making at Citadel Securities, developing predictive models for pricing, volatility, and execution optimization.

Best for PhD ML researchers interested in applying reinforcement learning and statistical modeling to derivatives trading.

Quantitative / QuantAsset ManagementOn-site
New York, NY
Citadel logo
Recently Verified

Machine Learning Researcher — PhD Graduate

Citadel

PhD-level ML Researcher role at Citadel developing commercial machine learning solutions for systematic trading and alpha generation.

Ideal for PhD graduates in ML or quantitative fields wanting to apply research skills to systematic trading.

Quantitative / QuantAsset ManagementOn-site
New York, NY / Miami, FL$225K – $300K
Plaid logo
Recently Verified

Senior Data Scientist — Data Foundations & AI

Plaid

Build ML models powering Plaid's financial data infrastructure — fraud detection, transaction classification, and data enrichment at billion-transaction scale.

Best for experienced data scientists wanting to work on financial data classification and fraud detection at massive scale.

Data ScienceFintechHybrid
New York, NY / San Francisco, CA$174K – $260K
BlackRock logo
Recently VerifiedFeatured

AI Product Engineer, Director

BlackRock

Lead AI platform architecture at BlackRock's Aladdin — setting technical vision for LLM-powered and agentic AI systems serving the world's largest asset manager.

Best for senior engineering leaders with AI platform experience seeking to shape AI infrastructure at a 0T+ asset manager.

ML EngineeringAsset ManagementHybrid
New York, NY$240K – $300K
Anthropic logo
Recently Verified

Finance & Strategy, Compute Infrastructure

Anthropic

Lead financial planning for Anthropic's compute infrastructure investments — budgeting, forecasting, and modeling AI training economics at the frontier of AI development.

Ideal for infrastructure finance or strategic finance professionals wanting to work on AI compute economics at the frontier.

Finance & StrategyAI InfrastructureHybrid
San Francisco, CA | New York City, NY$190K – $235K
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AI Jobs in Banking

AI roles at major banks including JPMorgan, Goldman Sachs, Morgan Stanley, and Citi.

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AI Jobs at Hedge Funds

Quant and ML roles at Citadel, Point72, Two Sigma, D.E. Shaw, and Bridgewater.

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Remote AI Finance Jobs

Prefer to work remotely? Browse fully distributed AI finance roles.

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Frequently Asked Questions

What AI finance companies are based in New York?
NYC hosts every category of AI finance employer. Major banks with large AI teams include JPMorgan Chase, Goldman Sachs, Morgan Stanley, and Citi. Quantitative hedge funds like Citadel, Point72, Two Sigma, D.E. Shaw, and Bridgewater have major NYC offices. Fintechs headquartered in New York include Ramp, Plaid (NYC office), Brex, and numerous earlier-stage startups. Big Tech companies with NYC AI presence include Google, Meta, Amazon, and Anthropic. Asset managers like BlackRock and Vanguard also maintain significant New York operations with growing AI teams.
What salaries do AI finance roles pay in New York?
NYC AI finance compensation is among the highest globally. ML engineers at major banks typically earn $150K-$250K total compensation (base + bonus). Quantitative researchers at top hedge funds often earn $300K-$600K+, with some senior roles exceeding $1M. Data scientists at fintechs range from $130K-$220K. Strategic finance roles at AI companies pay $140K-$250K. Cost of living in NYC is high, but the sheer number of employers creates competitive pressure that pushes compensation upward. Many hedge funds and banks also offer significant bonuses — sometimes 50-100% of base salary.
Is New York or San Francisco better for AI finance careers?
Both cities are excellent, but they serve different strengths. New York dominates in traditional finance AI (banking, hedge funds, insurance, asset management) and offers the deepest pool of finance-domain roles. San Francisco excels in fintech, AI labs, and infrastructure companies where the culture is more tech-first. If you want to work at a hedge fund, bank, or established financial institution, NYC has more options. If you want to join an early-stage fintech or AI company applying ML to financial problems, the Bay Area may be a better fit. Many professionals build careers across both cities.
Are there hybrid or onsite requirements for NYC AI finance jobs?
Most NYC finance employers require some in-office presence. Major banks typically mandate 3-4 days per week in-office, particularly for roles involving proprietary trading systems or sensitive client data. Hedge funds vary — some are fully onsite, while others (especially systematic firms) offer hybrid arrangements. Fintechs tend to be more flexible, with many offering 2-3 day hybrid schedules. A handful of roles are fully remote, particularly at smaller startups or for very senior hires. We tag each listing with its remote policy so you can filter for your preference.

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