New York, NY

Salary
$150,000–$175,000
Posted
Jul 16, 2026
Location
New York, NY
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A software engineering role within a risk-focused team at a financial firm, building and maintaining systems used by risk managers to monitor exposure, P&L, and portfolio risk across fixed-income and interest-rate derivative portfolios. Day-to-day work spans data pipelines, quantitative analytics, and front-end tooling, using C# and Python alongside microservices, containerization, and relational databases. Suits engineers with full-stack development experience and an interest in capital markets or risk management.

Mid level · 4+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time

Must have (7)
C# · 4+ yrsPython · 4+ yrsSQL · 4+ yrsOracle or PostgreSQLNumPypandasDocker or Kubernetes
Nice to have (7)
gRPCParquetSciPyPolarsDuckDBReactJavaScript

“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 320 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 190–490

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%SQL72%pandas72%NumPy62%Docker53%

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

What the occupation pays Median $138,970 (middle half $103,548–$176,968).

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 (7)

The title carries no seniority level; the 4+ years requirement and scope (independent delivery on a team, full-stack services) support a Mid-level classification.

Docker and Kubernetes appear together under Qualifications as 'Docker and/or Kubernetes' — emitted as a single required skill (Docker) with Kubernetes as an alternative, since only one is needed to satisfy the gate.

Oracle and PostgreSQL are listed together as the preferred relational database pair; emitted as one required skill (Oracle) with PostgreSQL as an alternative.

gRPC and Parquet appear in the Qualifications section with 'Familiarity with' language, which signals a softer gate; treated as preferred rather than hard requirements.

SciPy, Polars, and DuckDB appear in the Qualifications section within a parenthetical 'etc.' list alongside the required NumPy/pandas; they are treated as preferred given the open-ended framing.

Risk analytics / fixed income domain knowledge is explicitly called 'a plus' and JavaScript/React is explicitly 'a plus' — both treated as preferred.

No compensation range is stated in the posting.

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