Founded in 1971, Dolat Capital is a technology-driven quantitative trading firm using computer algorithms to trade in financial markets. Our software engineers are paramount to our business success. The software we write is our business and the entire company’s foundation is built on it.
Working at Dolat means collaborating with amazing bright developers from various backgrounds to create cutting edge-technology and tackle challenging technical problems.
Our software engineering team is looking for a passionate C++ Software Developer to develop new, and improve Dolat’s existing low latency Algorithmic Trading Platform. You will be integral in the interaction between research and quantitative trading teams and you will have the opportunity to work with cutting-edge technologies.
You will be responsible for creating and optimizing scalable, multi-tiered applications and infrastructure. We are looking for someone who will be able to solve difficult technical problems in a fast-paced and energetic quantitative trading environment.
Technically, we’re a Linux shop, our core trading infrastructure is written in C++. We offer a dynamic, fast-paced, meritocratic environment with a flat hierarchy.
Skills:
- Have significant experience developing high-availability systems in C++ with very tight latency constraints
- Strong computer programming skills using C++ in a Linux environment with expertise using STL and boost
- Have strong knowledge in parallel computing and Network programming
- Have a strong understanding of software development principles (OO design, TDD, etc)
- Can code up a multi-threaded UDP server/client easily
- Understands the complexity involved with threads and lock-free semantics
- Assisting in the development of a tick by tick backtesting research platform
- Optimizing the computational efficiency of existing learning-based algorithms to drive higher performance and faster learning rates
- Developing systems that provide easy access to historical market data and trading simulations
- Creating tools to analyze data
- Have strong interpersonal skills and ability to work in a collaborative environment with cross-functional teams
- Possess self-motivation, curiosity and passion for technology
Profile:
- Has a Bachelor’s, Master’s or PhD degree in Computer Science, Engineering or related field
- Exchange Connectivity experience a plus
- Knowledge and experience in Python
- Experience working in the trading industry or other ultra-low latency-sensitive business that involves solving remarkably complex problems
- Low level performance / cache optimization / profiling
- Knowledge and experience in network protocols (TCP, UDP,…)
- Experience of full life-cycle software development utilizing exotic hardware/software architectures for ultra-low latency trading systems
