Founded in 1971, Dolat Capital is a technology-driven quantitative trading firm, dedicated to producing high returns using mathematical and statistical techniques. The Quantitative Trading team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We have a group of bright quantitative researchers, analysts and traders from various scientific disciplines who have built an array of analytical tools, to help us design, develop and run our quantitative strategies in financial markets.
We are looking for an energetic, enthusiastic, creative thinker who is competitive and driven with a passion for automated trading and the financial markets. Work will include; detailed understanding of existing and development of new execution/market making algorithms, using analytical tools to understand the market microstructure and order data. One would also perform a latency analysis to evaluate strategy performance. The ideal candidate is a confident decision-maker who assumes responsibility from idea generation to implementation of their process. You will work closely with experienced traders, software engineers and quantitative researchers to develop and improve trading strategies. You will gain exposure to multiple asset classes through hands-on trading experience and data analysis. You will focus on managing the execution of various models, strategies and risk of trading strategies. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behaviour.
Responsibilities
- Creating a suite of execution/market making algorithms using various prediction models and alphas.
- Take responsibility of running their algorithms optimally in the production environment.
- Monitoring PnL and making adjustments to parameters of trading strategies.
- Improving execution/market making logics and automating various strategy logics.
- Preparation of daily P&L, exposure and risk reports.
- Assist in the development of various analytical tools
- Evaluate various forecasting models using statistical measures
- Researching potential trading ideas and helping to devise new trading strategies.
- Tackle operational challenges, ensuring our automated trading systems are continuously operating at maximum performance.
- Investigate the potential application of existing strategies to other asset classes/products
- Perform post-trade analysis of strategies including position and PnL reconciliation
- Provide valuable insight into various trading teams and firm-wide research initiatives
Skills You’ll Need:
- A bachelor’s or master’s degree in mathematics, statistics, engineering, computer science or related field
- Strong quantitative, analytical and problem-solving skills, and ability to deploy these skills in tighter time constraints
- Is self-motivated enjoys challenges and has an ability to successfully manage multiple tasks in a fast-paced environment
- Familiar with C++ and python programming
- Interested in analyzing large data sets using knowledge of probability and statistics
- Can communicate effectively your perspectives on trading strategies and risk in a concise manner to the team
- Understanding of Linux admin and shell scripting would be a benefit
- Familiarity with the automated trading environment would be a benefit
