C++ Software Engineer - Trading Platform

Company: Talan

Location: New York, NY

Salary: $110,000 - $145,000 a year

Type: Full-time

Posted: 2026-06-16

About this role

Company Description

Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise.

With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact.

Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory.

In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently.

Job Description

*Location: NYC (Hybrid – at least 3 days onsite/week)*

*Visa Sponsorship: Talan does not sponsor U.S. work permits or employment visas.*

We are seeking a talented C++ Software Engineer to join our team. As a member of our team, you will have the opportunity to work on cutting-edge technology and collaborate with a dynamic group of professionals who are dedicated to excellence. You will have the chance to contribute to the development of our Finance engineering team and grow your career in a stimulating environment.

Role and responsibilities

- Design & Development:
- Interaction with traders and quantitative researchers: Analyze new ideas and requirements for development
- Maintenance, improvement of trading application: New features, algorithms, enhancement of existing applications, optimization for speed, bug corrections.
- Support:
- Monitoring: ensure that the trading platform is stable and works properly (scripts, batches, applications and infrastructure).
- Maintenance: adapt, improve, stabilize and automate the platform; help reduce the human factor and the number of manual interventions.
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