Senior Quantitative Analyst

Durlston Partners; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading investment management firm is seeking a quantitative researcher or quant developer to build a cutting-edge systematic trading platform. The ideal candidate will have strong applied math and coding skills, with responsibilities including designing strategies and engineering data pipelines. This role offers a collaborative environment with top professionals and excellent compensation.

Benefits

Outstanding work-life balance

Full family relocation and education support

Qualifications

• 4-8 years’ experience in quant research, data science, or front-office quant dev.
• Strong math/stats background preferred.
• Proficiency in Python and experience in production environments.

Responsibilities

• Partner with PMs and senior quants to build core infrastructure.
• Design, test, and refine systematic strategies.
• Engineer data pipelines and signal evaluation frameworks.

Skills

Applied Math

Coding

Data Analysis

Education

PhD or Master’s in a quantitative field

Tools

Python

SQL

Airflow

Snowflake

Job description

Direct message the job poster from Durlston Partners

UPDATED JD (Optimized to Attract Profiles Like Yier’s)

Abu Dhabi | NYC | Singapore | London

Fully-backed, zero-legacy platform | PM-led buildout | Research-focused

We’re partnering with a world-class institutional investor quietly building a new systematic trading platform from scratch. The team already includes top PMs and quant leads — and we’re now looking for a quantitative researcher or quant dev with strong applied math and coding skills to help build the next generation of research + trading infrastructure.

What you’ll do

• Partner directly with PMs and senior quants to build core infra + research tooling
• Design, test, and refine systematic strategies (macro, stat arb, multi-asset, credit)
• Engineer data pipelines and signal evaluation frameworks in Python
• Work hands-on with alternative + market data to generate real trading insights
• Take ownership across research, analytics, and production deployment

We’re looking for someone with:

• 4–8 years’ experience in quant research, data science, or front-office quant dev
• Strong math/stats background (PhD or Master’s in a quantitative field preferred)
• Proficiency in Python + experience working in production environments
• Research experience in systematic investing, alpha modeling, or large-scale simulation
• Ability to collaborate closely with PMs and researchers — not just write code

You might have:

• Academic publications in applied math or statistical modeling
• Experience at a hedge fund, trading firm, or top-tier quant research group
• Familiarity with SQL, Airflow, Snowflake, or cloud infra
• A desire to move from academia or sell-side to a lean buy-side team

Open to: Abu Dhabi, NYC, Singapore, or London (relocation support included; visa sponsorship evaluated case-by-case)

Why this team?

• Direct collaboration with PMs and quants (flat structure, zero bureaucracy)
• Full resourcing: compute, data, capital, and long-term backing
• Clear ownership, fast build cycles, and meaningful strategy input
• Outstanding WLB and full family relocation + education support

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Analyst

• Industries

  Investment Management and Financial Services

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