Boston, MA

Salary
$150,000–$170,000
Posted
Jul 26, 2026
Location
Boston, MA
Last confirmed open
Jul 27, 2026

What this job asks for AI summary

A senior software engineering role embedded within a quantitative investment firm's front-office team, working alongside researchers and portfolio managers. Day-to-day work spans integrating new datasets, building and tuning trading signals, developing portfolio optimization and data visualization tools, and maintaining a Python-heavy research platform backed by a broad stack of data, workflow, and infrastructure technologies. Suits an experienced engineer with a strong quantitative or scientific computing background.

Senior level · 5+ years · Boston-Cambridge-Newton, MA-NH · Full-time

Must have (9)
PythonPandasNumPySciPystatsmodelsscikit-learnLinuxGitMS SQL, PostgreSQL or MongoDB
Nice to have (14)
ReactSparkDaskKubernetesRedisKafkaAirflowJenkinsDockerAnsibleGrafanaOpenStackJavaBitbucket

“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 70 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (data scientists). range 30–100

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

What gives you an edge
SciPy12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%Pandas72%NumPy62%scikit-learn58%Linux45%

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

What the occupation pays Median $134,944 (middle half $104,979–$169,773).

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 (6)

The role sits in a quantitative finance / front-office engineering context; the alt SOC 15-2051 (Data Scientists) is a plausible runner-up given the heavy scientific Python stack and research-platform work, but the primary day-to-day output is production software engineering.

The database requirement lists 'MS SQL, Postgres, or MongoDB' as interchangeable options under the Essential section; MS SQL is used as the primary name with Postgres and MongoDB captured as alternatives. MongoDB also appears independently in the team's technology stack narrative and is listed separately as a preferred/stack skill.

The full technology stack (Kafka, Airflow, Control-M, Jenkins, Docker, Ansible, Grafana, Prometheus, OpenStack, Bitbucket, Java, ELK) is described in the 'Our Technology' narrative section rather than under a requirements heading, so those tools are marked preferred.

The degree requirement mentions a preference for degrees with 'high mathematical and computing content' but frames this under Personal Attributes rather than as a hard gate, and no specific degree level is mandated; the degree requirement is therefore None.

No compensation figures are disclosed; the posting references 'competitive compensation' only.

The role is hybrid (3 days/week in the Boston office); it is not fully remote.

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 ↗