Analyst (with Python)

4 Months ago • All levels

Programming

Job Description

The Analyst role involves supporting Quantitative Researchers by focusing on data quality, tool development, and research assistance. Key responsibilities include discovering, validating, and cleaning datasets; monitoring production systems; supporting ad-hoc research; building internal utilities with Python; and collaborating with quants and engineers. This role is ideal for individuals who value accuracy, enjoy technical work, and want to contribute to impactful research in a low-stress, intellectually rich environment.

Good To Have:

Experience working in data-rich or research-driven environments
Background in STEM fields (Math, CS, Engineering, etc.)

Must Have:

Proficiency in Python with clean, readable code
Solid knowledge of Pandas and NumPy
High attention to detail, accuracy, and code quality
Strong analytical and problem-solving skills
Willingness to dive deep into complex systems and workflows

Perks:

Remote-first culture with flexible location options
Corporate hardware and access to a private research compute cluster
Regular in-person team events and retreats
Opportunity for relocation after one year (if desired)
Exposure to advanced technology and real-world data challenges

Add these skills to join the top 1% applicants for this job

numpy

pandas

python

Role Overview

We are seeking a highly attentive and technically proficient Analyst with strong Python skills to join our team. This is a support role for our Quantitative Researchers, focusing on data quality, tool development, and research assistance. It's ideal for individuals who prefer a stable and well-structured workflow while working on intellectually engaging tasks.

Key Responsibilities

Discover, validate, and clean datasets for research and production
Monitor production systems and analyze logs to ensure correctness
Support ad-hoc research and exploratory analysis tasks
Build internal utilities and automation tools using Python
Collaborate with quants and engineers to enhance research operations

Requirements

Proficiency in Python with clean, readable code
Solid knowledge of Pandas and NumPy
High attention to detail, accuracy, and code quality
Strong analytical and problem-solving skills
Willingness to dive deep into complex systems and workflows
No prior finance experience required

Nice to Have

Experience working in data-rich or research-driven environments
Background in STEM fields (Math, CS, Engineering, etc.)

What We Offer

Remote-first culture with flexible location options
Corporate hardware and access to a private research compute cluster
Regular in-person team events and retreats
Opportunity for relocation after one year (if desired)
Exposure to advanced technology and real-world data challenges

This is a great opportunity for someone who enjoys technical work, values accuracy, and wants to contribute to impactful research in a low-stress, intellectually rich environment.

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