Quantitative Research Analyst
7 days ago
Who we are:
Teesta Investment is a pioneering proprietary trading HFT startup trading and market-making global digital assets in India. We lead the market for various financial instruments and digital currencies and operate with exceptional expertise, knowledge and global reach. We are a firm that was founded on innovative, forward thinking and professional approaches to digital asset trading which reflects in our daily operations. We leverage our extensive knowledge of all relevant market trends & developments from both technology and trading perspectives to help markets achieve price efficiencies.
Your role:
THIS IS A FULL TIME POSITION ON-SITE BASED OUT OF OUR KOLKATA OFFICE.
This is a key position of our rapidly expanding research team where you'll be at the forefront of identifying, modeling, and developing successful trading strategies across both centralized and decentralized crypto exchanges. Your analytical prowess will drive our mission to capitalize on trading opportunities, optimize performance, and mitigate risk in the ever-evolving cryptocurrency landscape and play a pivotal role in shaping the future of digital asset trading. Your key responsibilities will include but are not limited to:
- Conducting comprehensive research to design high to low-frequency trading strategies tailored to cryptocurrency markets.
- Collaborating closely with our development team to implement and fine-tune trading strategies, ensuring optimal performance.
- Conducting rigorous backtesting and maintaining the ongoing performance of trading strategies.
- Developing sophisticated analytical tools to enhance strategy analysis and decision-making processes.
- Managing trading risk and ensuring the seamless operation and uptime of internal software and trade processes.
- Engaging with various OTC teams to execute trades and fulfill trading requirements.
- Monitoring auto trading strategies, swiftly addressing discrepancies, and reporting findings to senior management.
- Maintaining open communication with team leads for market updates, technical insights, and operational instructions.
Our needs:
- A Master's or PhD in Applied Mathematics, Computer Science, Statistics, or related fields, with a Bachelor's Degree preferably within financial services or technology-related disciplines.3+ years of proven prior experience in quantitative analysis, trading, or market making within financial markets.
- Robust proficiency in programming languages such as Python, C++, Rust, Go, MATLAB, and R, with a focus on real-time data analysis.
- Extensive familiarity with Tick by Tick Data (TBT), market microstructures are preferred.
- In-depth knowledge of advanced mathematical and statistical concepts, applied in trading contexts.
- Strong proficiency in MS-Excel, coupled with exceptional numerical and analytical skills.
- Demonstrated ability to thrive in a competitive, fast-paced environment.
- Detail-oriented with a keen eye for identifying trading opportunities and mitigating risks.
- Ability to work independently, exercise sound judgment, and solve complex problems efficiently.
- Excellent verbal and written communication skills, with the ability to handle confidential information and sensitive situations with discretion.
Perks offered:
- Access to In house snack bar and drinks
- Reimbursement for meals
- Fitness club/Gym memberships
- Sponsorship for higher education / academic endeavours
- Relocation benefits
- Health Insurance for candidate and their dependents
We’re looking for candidates who have a passion for pushing the boundaries of finance and technology and are keen to promote the cause of alternative assets and digital financial systems.
In addition, you should be comfortable working in a fast growth environment, within a small agile team, with fast-evolving roles and responsibilities, variable workloads, tight deadlines, and a high degree of autonomy.
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