Talos

HQ
New York
Total Offices: 5
87 Total Employees
Year Founded: 2018

Talos Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides bereavement leave

Provides paid holidays

Company Culture

Offers a remote work program

Provides free snacks and drinks

Recently posted jobs

13 Days AgoSaved
In-Office
London, Greater London, England, GBR
Software • Cryptocurrency
Software Engineering Interns will help design, maintain, and scale infrastructure supporting Talos’s digital asset trading and settlement platform. Responsibilities include contributing to CI/CD, infrastructure-as-code, deployment tooling, monitoring, logging, observability, and production performance improvements. Interns will collaborate with engineering teams to implement infrastructure requirements and gain exposure to distributed systems, cloud platforms, Linux, networking, and platform engineering during a 12-week summer internship.
13 Days AgoSaved
In-Office
London, Greater London, England, GBR
Software • Cryptocurrency
Software Engineering Intern joining the Trading team for Summer 2027. The role involves building high-performance trading system features in Go, enhancing the Order Management System, designing components, contributing to architectural discussions, and adding analytics and metrics. The intern will collaborate with engineers to define requirements, demonstrate progress, and iterate based on feedback while supporting algorithmic trading capabilities and best execution.
21 Days AgoSaved
In-Office
London, England, GBR
Software • Cryptocurrency
Supports quantitative trading analysis by analyzing proprietary market data, developing execution signals and impact models, creating visualizations, backtesting trading features, and evaluating algorithm performance. The intern will work with quantitative analysts on execution strategies, market microstructure, statistical analysis, and client-facing research materials. This is a 12-week, New York-based internship requiring advanced Python, pandas, SQL, computational finance, statistics, mathematics, and exposure to machine learning.