Abans - High-Frequency Trading Strategist & Coder

2 months ago

Mumbai, India ABANS GROUP Full time

Job Description :

We are seeking a skilled and motivated individual to join our high-frequency trading (HFT) desk as a coder. As a member of our team, you will play a critical role in coding and optimizing high-frequency trading strategies to capitalize on market inefficiencies and generate alpha.

Responsibilities :

1. Coding : Utilize your expertise in programming languages such as Python, C++, or Java to implement trading strategies in a robust and efficient manner. Develop and maintain codebase for algorithmic trading systems, ensuring scalability and reliability. Technically proficient and hands-on in C++ with a good understanding of C++11 and C++14.

2. Optimization : Continuously refine and optimize trading algorithms to enhance performance, reduce latency, and minimize trading costs. Employ statistical analysis and machine learning techniques to identify patterns and improve trading strategies.

3. Risk Management : Work closely with risk management professionals to quantify and mitigate risks associated with high-frequency trading activities. Implement risk controls and monitoring systems to ensure compliance with regulatory requirements.

4. Collaboration : Be able to document the flows of the code and communicate effectively with stakeholders to explain code rationale and performance. Stay abreast of industry developments and technological advancements to maintain a competitive edge.

5. Strategy Development : Collaborate with the research team to conceptualize, develop, and backtest high-frequency trading strategies across various asset classes including equities, futures, options, and currencies.

Qualifications & Specific experience :

- IIT Background preferred.

- Upto 4 years of experience in developing and implementing high-frequency trading strategies in a proprietary trading firm, hedge fund, or financial institution.

- Proficiency in programming languages such as Python, C++, or Java, with experience in algorithmic trading libraries (e.g., pandas, numpy, scipy). Technically proficient and hands-on in C++ with a good understanding of C++11 and C++14.

- Knowledge of TCP/IP, UDP & Network topology.

- Understands multi-threading and has decent level knowledge of multi-core architectures.

- Passionate to debug network problems with proficiency in-network and socket programming.

- Should be eager to learn and navigate ASAN, SystemTAP, tcpdump, gdb. etc.

- Should love working on Linux, its kernel and optionally be aware of Linux optimizations pertaining to low latency.

- Experience of working in HFT (understands order books, strategies etc.) and keen to keep reducing latency, erasing jitter, identify and eliminate queue build up/congestion in the system.

- Strong understanding of financial markets, trading mechanics, and market microstructure.

- Familiarity with statistical analysis, machine learning techniques, and quantitative research methodologies.

- Excellent problem-solving skills and ability to think analytically under pressure.

- Experience with low-latency trading systems and high-performance computing environments is a plus.

- Knowledge of regulatory frameworks and compliance requirements relevant to algorithmic trading activities.

Desired Skills :

- Number crunching aptitude and passionate about coding

- Relevant work done in the domain

(ref:hirist.tech)

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