ML engineer (wealth management) Salary in New York (2026): Complete Guide

ML engineer (wealth management) salaries in New York in 2026 typically land between $140,000 and $320,000 base salary, with total compensation often reaching $180,000 to $450,000+ once bonus and equity are included. If you’re joining a top-tier wealth manager, private bank, or a fintech serving high-net-worth clients, the upper end moves fast.

Salary by Experience

New York pays a premium because it is the center of U.S. wealth management. That matters more than people think: firms compete not just with banks and asset managers, but also with hedge funds, private equity shops, and fintechs hiring from the same ML talent pool.

What Affects Your Salary

• •

  Wealth management domain experience

  • •If you’ve built models for portfolio optimization, client segmentation, personalization, risk scoring, or advisor tooling, you’ll price above a generic ML engineer.
  • •Firms pay more when you understand regulated financial workflows and can ship without creating compliance headaches.
• •

  Modeling depth and production ownership

  • •Engineers who can do more than train models get paid more.
  • •Strong comp goes to people who own feature pipelines, model monitoring, drift detection, retraining logic, and deployment into low-latency systems.
• •

  Institution type

  • •Large banks usually pay solid base plus bonus stability.
  • •Private wealth firms and hedge-fund-adjacent teams often pay higher total comp if the role touches revenue-generating decision systems.
  • •Fintechs may offer less base than bulge-bracket firms but make up some of it with equity.
• •

  Remote vs onsite

  • •Fully remote roles outside New York often compress salary bands.
  • •Hybrid or onsite roles in Manhattan usually pay more because firms want proximity to investment teams, product owners, and compliance stakeholders.
• •

  Regulatory and data sensitivity

  • •If your work involves PII handling, model explainability, auditability, or governance under strict controls like SOC2/GLBA/internal model risk review, your market value rises.
  • •The ability to ship ML inside a heavily controlled environment is rare and expensive.

How to Negotiate

• •

  Anchor on total compensation, not just base

  • •Wealth management firms often use bonus as a major part of the package.
  • •Ask for the full breakdown: base salary, annual bonus target, sign-on bonus, deferred comp if any, and equity or carry-like upside where applicable.
• •

  Translate your work into business outcomes

  • •Don’t say “I built an LLM pipeline.”
  • •Say “I reduced advisor response time by 35%,” “improved lead conversion by 12%,” or “cut manual research effort by X hours per week.”
  • •In this market that matters because teams want measurable lift tied to assets under management or advisor productivity.
• •

  Price your regulated ML experience higher

  • •If you’ve worked on explainable models, approval workflows for model changes, audit logs, or governance frameworks in finance or insurance-like environments, use that as leverage.
  • •Hiring managers know these skills reduce implementation risk and shorten time to production.
• •

  Use competing offers carefully

  • •New York firms respond well to credible market data from banks, asset managers, fintechs serving HNW clients, and adjacent quant/ML teams.
  • •Be precise about level alignment. A “senior” title at one firm may map to “mid-senior” somewhere else.

Comparable Roles

• •

  Machine Learning Engineer — Asset Management

  • •Typical NYC range: $170K-$320K base, $220K-$450K total comp
• •

  Data Scientist — Wealth Tech / Private Banking

  • •Typical NYC range: $150K-$240K base, $180K-$320K total comp
• •

  Quantitative Developer — Buy Side / Hedge Fund Adjacent

  • •Typical NYC range: $220K-$350K base, $300K-$600K+ total comp
• •

  AI Engineer — Financial Services

  • •Typical NYC range: $160K-$260K base, $200K-$360K total comp
• •

  MLOps Engineer — Banking / Wealth Platforms

  • •Typical NYC range: $165K-$255K base, $190K-$340K total comp

If you’re interviewing in New York for this role in 2026, the main question is not whether the salary is good. It’s whether the firm treats ML as a support function or as a direct driver of advisor productivity, client retention, and revenue. That difference shows up immediately in compensation.

Keep learning

• •The complete AI Agents Roadmap — my full 8-step breakdown
• •Free: The AI Agent Starter Kit — PDF checklist + starter code
• •Work with me — I build AI for banks and insurance companies

By Cyprian Aarons, AI Consultant at Topiax.