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Quant Developer



Software Engineering
London, UK
Posted on Thursday, June 13, 2024

Institutional Fabric for the Digital Asset Market

Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem.

Our mission at Talos is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle.

At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe that every member of our team adds invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust and integrity, collaboration, and mutual growth. Together, we are ambitiously building something extraordinary. Your unique talents and insights will play a crucial role in our shared success.

We are a tight-knit but decentralized team of highly-experienced engineers and businesspeople. We have a hybrid-friendly work environment, with physical hubs in New York, London, Singapore, Sweden and Cyprus.

About the Role

Quant Developer

As a Quant Developer you will play a crucial role in systematically analyzing and quantitatively producing insights to our clients about their trade execution through TCA (Transaction Cost Analysis) pre- and post-trade. You will also drive the assessment of the algo execution strategies to support continuous mode calibrations and enhancements in accordance to client feedback and data-driven analysis.

You will collaborate closely with senior stakeholders, including product owners, quantitative analysts (quants) and senior managers.

Responsibilities and Duties

Data Management and Analysis

  • Conduct bespoke analysis of trading data, and continuously improve the value and experience of our transaction cost analysis (TCA) platform.

  • Design and prototype insightful analytics based on unique Talos data to showcase trade execution insights which will help drive client trading choices and algo wheels.

Transaction Cost Analysis (TCA)

  • Generate bespoke TCA studies on best micro signals and clients trades, venue analysis, toxicity decomposition, trading algorithm performance, and more.

  • Act as the point of contact for initiatives related to algo execution performance analysis.

Algorithmic Sales & Development

  • Generate and analyze Key Performance Indicator (KPI) data to support sales and client success managers.

  • Collaborate with Business Development to support upcoming sales meetings and client consultation.

  • Collaborate with our quant team in analyzing algorithm performance and providing insights on market microstructure.


  • Degree-level qualification in Computer Science, Applied Sciences, Mathematics, Statistics, or a related field.

  • 3-4+ years experience working with large data sets using Python (and Pandas & Jupyter Notebook), SQL, BigQuery, KDB+.

  • Experience executing workloads in pipelines using Apache Airflow, Dagster or similar.

  • Strong numerical and analytical skills with a solid understanding of statistics.

  • Team-player with excellent interpersonal skills, capable of working with teams across multiple departments and geographies.

  • Excellent communication and presentation skills.


You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team.

Get In Touch!

Sounds compelling? We’d love to hear from you. Contact us directly.

Also, check out other open positions listed on our website.

Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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