Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset: 

• Min 3 years of relevant experience with strong track record.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

At IMC we run volatility trading strategies which are separate from our usual low-latency, execution based market making strategies. We rely on macro research and historical signals to place opinionated, relative value trades on asset classes globally. IMC is successfully ramping up its volatility trading strategies. To accelerate growth we are looking to expand the team with experienced traders.

Your Core responsibilities:

• Maximize revenue by both finding, and then capitalising on short term mispricing, as well as managing larger positions
• Work closely with our best-in-class research and quant teams to analyse your results and improve your approach
• Take responsibility and ownership early to drive strategies forward and be successful
• You will be instrumental in assisting us with our strategic goal to build our options trading globally, with a focus on positional market making and relative value strategies

Your Skills and Experience:

• 4+ years of experience as a Trader at a prop trading firm / market maker managing your own book
• Prior experience of options position trading in Indian markets is good to have.
• Experience in computer programming is desirable (Python, C/C++, Java, Matlab, SQL).
• Entrepreneurial mindset, healthy risk appetite, competitive by nature and fast decision maker
• Excellent numerical and analytical skills.

AlphaGrep is a quantitative trading and investment management firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

AlphaGrep Securities seeks a Quantitative Research Intern, who will be part of trading group which executes algorithmic strategies based on market behavior. We cover the global markets by leveraging and integrating technology, risk management and quantitative research.

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analysing market data and market microstructure for patterns
• Creating tools to analyse data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators science, mathematics and related fields to apply.

Additional requirements include:

•  Familiarity with machine learning (a plus)
• Experience with data analysis, market research and data modeling (a plus)
• Brilliant problem-solving abilities
• Software development experience as demonstrated through course work, research projects, or open source activities, preferably in C++, Python or R/Matlab
• A passion for new technologies and ideas
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix