Job Description

Job description About Company - Zelta Tech Private Limited: Zelta Tech is a Blockchain & web3.0 development and consulting company. We help people/companies in development like dApps, tokens, NFTs marketplaces and portfolio management systems, along with providing advisory, helping them raise funds and launching their products in the right direction and space. Job description- We are seeking a talented and motivated Algorithmic Crypto Trader to join our Research and Development team. The ideal candidate will have a strong background in quantitative disciplines, such as Mathematics, Statistics, Computer Science, or Engineering, and possess a passion for financial markets and trading instruments in the crypto space. As an Algorithmic Crypto Trader, you will be responsible for conducting thorough research, developing, testing, and implementing quantitative trading strategies to identify profitable opportunities and manage risk effectively. Join our team of passionate crypto enthusiasts and leverage your expertise to drive innovation and success in the dynamic world of algorithmic trading. If you are a self-motivated individual with a strong quantitative background and a deep understanding of the crypto market, we encourage you to apply for this exciting opportunity Experience: 3 - 6 Years Employment-Fulltime Location: Onsite (Jaipur, Rajasthan, India ) Research and Development: 1. Conduct in-depth research on financial markets, asset classes, and specific trading instruments. 2. Develop, test, and optimize quantitative trading strategies based on statistical models and historical data. 3. Identify market inefficiencies and potential trading opportunities through systematic analysis. Algorithm Design and Implementation: 1. Build and implement algorithmic trading systems that can execute trades rapidly and efficiently in crypto 2. Apply statistical and quantitative analysis methods to identify trends, patterns, and anomalies in crypto\'s financial data. 3. Develop and maintain trading algorithms using programming languages such as Python, R, C++, or Java. 4. Utilize statistical models, machine learning techniques, and data visualization tools to improve trading strategies. Risk Management: 1. Implement risk management protocols to safeguard against potential losses and maintain a balanced portfolio. 2. Monitor and assess the risk exposure of trading strategies, taking appropriate measures to mitigate risks. Qualifications and Skills: 1. A strong background in quantitative disciplines such as Mathematics, Statistics, Computer Science, or Engineering. 2. Proficiency in programming languages like Python, C++, or Java. 3. Knowledge of financial markets, trading concepts, and market microstructure. 4. Analytical thinking, problem-solving abilities, and attention to detail. 5. Ability to work well under pressure and in a fast-paced trading environment.

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