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Quant Developer

💼 Full-time🗓 2026-07-25

Core

Designing and maintaining in-house High Frequency/Algorithmic Trading technology programs, including market data connectivity and Order Management Systems.

Role type

Quant Developer (C++)

Builds

In-house HFT trading infrastructure and systems

Domain

Finance / Algorithmic Trading / High Frequency Trading

Deliverable

production ML models | infrastructure

Required skills

C++, data structures, threading, algorithm design, object-oriented programming, profiling, debugging, market data connectivity, Order Management Systems

Preferred skills

financial domain knowledge, derivatives knowledge

Technologies

C++

Responsibilities

Develop market data connectivity, build Order Management Systems, enhance existing trading methodologies, design and maintain HFT technology programs

Seniority

Mid-level, hands-on IC

Rewrite
## About the role Tara Capital Partners is seeking the best and skillful C++ Developers/Programmers for High Frequency/Algorithmic Trading domain who are fantastic team players, self-motivated individuals, and are active contributors to designing and maintaining in-house HFT technology programs. ## Responsibilities - Enhancing the existing methodologies and exploring new ideas ## Requirements - Hands-on experience in trading infrastructure development of more than 2 years - Experience in developing market data connectivity and Order Management Systems - Working experience in C++ with clear understanding of data structures, threading, designing algorithms, object-oriented programming, profiling and debugging - Strong coding fundamentals [specific] - Excellent Learning Skills and Problem Solving Aptitude - Comfortable with High paced work Environment, and steep learning curve - Passion for finance /algorithmic trading, prior knowledge of financial domain and derivatives is desirable but not necessary ## What we offer - High growth career opportunities - Great learning environment from field experts - Friendly work culture - Competitive financial rewards, based on the performance - Flexibility to learn and move across different verticals and profiles
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