New York, NY

Salary
Posted
Jul 6, 2026
Location
New York, NY
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior technical leadership role within a financial services firm's AI and data science function, focused on fixed income trading, credit, rates, and investment banking. The position involves directing the development of pricing, risk, and capital markets models — including work on illiquid instruments, yield curves, and prepayment risk — while setting technical standards, guiding a small team of data scientists, and engaging directly with traders, risk leaders, and executives. Suits a seasoned practitioner with deep ML expertise and hands-on experience in quantitative finance.

Principal level · 10+ years · Los Angeles-Long Beach-Anaheim, CA · Master's required

Must have (7)
Python or Rmachine learningdeep learningcausal inferencestatistical modelingcloud platforms, AWS, GCP or AzureML frameworks
Nice to have (5)
LLMsRAGPalantir Foundry or Palantir Aipvector databasesknowledge graphs

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 35 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 15–50

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Python88%machine learning80%statistical modeling60%cloud platforms50%deep learning40%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $132,593 (middle half $93,359–$172,124).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

The role is titled 'Executive Director' and carries genuine org-wide technical authority (setting direction for the AI Science function, representing the firm externally, defining model governance standards), which supports a Principal-level classification rather than Senior.

The alt SOC 11-3021 (Computer and Information Systems Managers) is a legitimate runner-up: the role includes mentoring/guiding a small data science team and partnering with executive committees, but the JD's emphasis is clearly on hands-on technical depth and IC-style scientific leadership rather than people management, so 15-2051 is the primary classification.

The posting lists two possible onsite locations — Santa Monica, CA and New York, NY. Santa Monica falls within the Los Angeles-Long Beach-Anaheim CBSA (31080), which is used here as the primary metro; the New York location is not reflected in the CBSA field.

The JD explicitly labels 'LLM-based analytics, RAG, simulation, and generative AI' as methods the role will 'act as senior technical authority on' within the responsibilities section — not under a requirements heading — so they are treated as preferred/contextual rather than hard gates.

Cloud platforms are listed as a hard requirement ('cloud-based platforms') with no specific provider named; AWS, Azure, and GCP are listed as alternatives reflecting the most common substitutes. Cloud/AI certifications (AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) appear only under the Nice-to-have section.

The degree requirement is explicitly stated as 'Master's or higher' and marked Mandatory, so the degree requirement is set to Masters (the minimum of the range).

No compensation figures are provided in the posting.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time series analysis.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗