Remote Quantitative Researcher – Work from Anywhere – Join Our Cutting‑Edge Team!

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Are you passionate about turning complex data into actionable insights? We’re seeking a talented Quantitative Researcher to power our algorithmic trading platform from the comfort of your home office. If you thrive on statistical rigor, innovative modelling, and collaborative problem‑solving, this is the role that will accelerate your career.

Salary Range

Estimated total compensation: $95,000 – $130,000 USD per year (base salary + performance bonus). This range reflects industry standards for experienced quantitative analysts in the fintech sector.

About the Role

As a Remote Quantitative Researcher, you will partner with data engineers, product managers, and senior traders to design, test, and deploy predictive models that drive real‑time trading decisions. Your day‑to‑day responsibilities include:

• Developing statistical and machine‑learning models using Python, R, or MATLAB.
• Conducting rigorous back‑testing and validation on large‑scale financial datasets.
• Collaborating in cross‑functional sprints to integrate research outputs into production pipelines.
• Documenting methodologies, results, and code in a reproducible, peer‑reviewed format.
• Staying ahead of academic and industry trends to continuously improve our research toolkit.

Key Requirements

Technical Expertise

• Master’s degree (or PhD) in Statistics, Applied Mathematics, Computer Science, Physics, or a related quantitative field.
• 5+ years of hands‑on experience building and deploying quantitative models in finance, tech, or a data‑intensive environment.
• Proficiency in Python (NumPy, pandas, scikit‑learn) or R; familiarity with SQL and cloud platforms (AWS, GCP, Azure) is a plus.
• Strong foundation in probability theory, time‑series analysis, stochastic calculus, and optimisation techniques.

Soft Skills

• Exceptional analytical mindset with the ability to translate abstract concepts into clear, business‑focused recommendations.
• Excellent written and verbal communication—crucial for presenting findings to non‑technical stakeholders.
• Self‑starter attitude; comfortable managing priorities and delivering high‑quality work independently in a fully remote setting.
• Team player who thrives in a collaborative, agile environment.

What We Offer

• Fully Remote Work: Operate from any location with a reliable internet connection—no commuting, no office politics.
• Competitive Compensation: Base salary within the $95k‑$130k range plus quarterly performance bonuses.
• Professional Development: Annual education stipend, conference attendance budget, and access to premium research journals.
• Tech Stack & Tools: Latest laptops, dual‑monitor setups, VPN access, and a generous home‑office allowance.
• Health & Wellness: Comprehensive medical, dental, and vision plans, plus mental‑health resources and flexible PTO.
• Culture of Innovation: Regular virtual hackathons, brown‑bag talks, and a mentorship program that pairs you with senior quant leaders.

How to Stand Out

We value concrete evidence of impact. Include in your application:

• Links to published papers, open‑source projects, or Kaggle profiles that showcase your modelling prowess.
• Brief case studies describing a problem you solved, the methodology you applied, and the measurable results achieved.
• Examples of code snippets or GitHub repositories that demonstrate clean, well‑documented work.

Our Mission & Vision

We are a fast‑growing fintech startup dedicated to democratizing sophisticated trading strategies for institutional and retail investors alike. By harnessing advanced quantitative research, we aim to create transparent, low‑latency market solutions that empower our clients to succeed in ever‑changing financial landscapes.

Ready to Make an Impact?

If you’re excited about shaping the future of algorithmic finance from wherever you choose to work, we invite you to explore this opportunity further. Join a team where data meets creativity, and every insight drives tangible value.

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