Job Position

Alpha Quant Engineer - sub PM

Compensation
£100,000 - £150,000
Industry
Exchanges & Trading Venues
Location
London
Job Type
Remote
Description

Alpha Quant Engineer - Sub PM

Company Overview

We are a fast‑growing crypto platform dedicated to making the world of digital assets easy, rewarding, and enjoyable. We operate a globally regulated exchange with a strong focus on compliance, alongside a self‑custodial wallet and browser extension that serve over 1 million users worldwide. Join a forward‑thinking team that ships relentlessly to innovate in the crypto space.

Job Details

• Location: Remote (US)

• City (Headquarters): London, United Kingdom

• Job Type: Full‑time

• Number of Openings: 1

• Salary: Competitive annual remuneration (GBP)

Role Summary

The Alpha Quant Engineer – Sub PM will work closely with the Product Management team to design, develop, and maintain quantitative models that power our trading and risk‑management systems. You will bridge the gap between quantitative research and product execution, ensuring that sophisticated algorithms are robust, scalable, and aligned with business objectives.

Key Responsibilities

• Develop, implement, and maintain quantitative models for pricing, risk analysis, and trading strategies.

• Collaborate with product managers, engineers, and data scientists to translate business requirements into technical specifications.

• Conduct rigorous back‑testing, validation, and performance monitoring of models in production.

• Optimize algorithms for low‑latency execution and high‑throughput environments.

• Maintain clear documentation of model assumptions, data pipelines, and performance metrics.

• Stay abreast of emerging trends in crypto markets, quantitative finance, and machine‑learning techniques.

• Provide technical mentorship to junior engineers and contribute to a culture of continuous improvement.

Essential Qualifications

• Strong background in quantitative finance, applied mathematics, statistics, or a related field.

• Proficiency in programming languages such as Python, C++, or Rust, with experience in scientific libraries (e.g., NumPy, pandas, scikit‑learn).

• Solid understanding of statistical modeling, time‑series analysis, and stochastic processes.

• Experience with data handling, ETL pipelines, and large‑scale data sets.

• Excellent problem‑solving skills and the ability to work autonomously in a remote environment.

• Strong communication skills, capable of articulating complex technical concepts to non‑technical stakeholders.

Desired Experience

• 2+ years of experience developing quantitative models for financial markets, preferably in crypto or related digital assets.

• Hands‑on experience with low‑latency trading systems or high‑frequency trading environments.

• Familiarity with blockchain technology, market microstructure, and cryptocurrency exchanges.

• Exposure to risk management frameworks and regulatory compliance considerations.

• Experience working in a fast‑paced startup or agile product development setting.

Salary & Benefits

• Competitive annual salary quoted in British Pounds (£) – market‑aligned and reflective of experience.

• Equity participation – become a shareholder in a high‑growth crypto company.

• Comprehensive health, dental, and vision coverage.

• Flexible working hours and fully remote work setup.

• Generous vacation policy and paid holidays.

• Professional development budget for conferences, courses, and certifications.

• Access to the latest crypto tools, platforms, and internal resources.

How to Apply

Ready to shape the future of crypto finance? Please submit your application through our careers portal or contact our recruitment team for further information.


This search is conducted by Spear Point Search: The Search Firm For Capital Markets. We are NOT incentivised to place. We are incentivised to be right. That means we tell clients when compensation is misaligned with the talent they need, we tell candidates when a role isn't what they think it is, AND we walk away from searches that don't have the conditions to succeed. This costs us fees. It is also why people call us back.

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