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0.0 - 4.0 years

0 Lacs

maharashtra

On-site

As a Quantitative Researcher at our firm, you will be an integral part of the growing team in the Quantitative Strategies Central Research group. Your main responsibility will involve developing alpha signals for global equities and futures markets by utilizing advanced mathematical and statistical techniques, along with your exceptional problem-solving skills. You will be based in India, with the option to work from Mumbai, Delhi, or Gurgaon. Your primary tasks will include analyzing datasets using machine learning, statistical, applied math, and econometric techniques. Additionally, you will be tasked with developing predictive signals for financial markets, rigorously testing models, and creating trading algorithms for the profitable implementation of these models. To ensure continuous learning and growth, you will also review academic literature and participate in relevant conferences focusing on areas such as empirical finance, market microstructure, machine learning, and computational statistics. To excel in this role, we are looking for candidates with a Bachelors, Masters, or Ph.D. degree in Mathematics, Computer Science, Statistics, Physics, Electrical Engineering, or a related field. A proven track record of excellence in your specialized area, along with experience in machine learning and statistical applications, will be advantageous. Notably, prior experience in the investment field is not mandatory. Proficiency in at least one major programming language such as C/C++, Java, or Python is a must. Additionally, having statistical programming skills using Python, R, or Matlab will be considered a bonus. The target start date for this position is as soon as possible. If you are excited about this opportunity and believe you are the right fit for this role, please submit your resume to india.quant.talent@mlp.com and reference REQ-11568.,

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2.0 - 6.0 years

0 Lacs

maharashtra

On-site

As a Junior Quantitative Analyst at our company, you will be responsible for various tasks within the equities team. You should possess 2-3 years of experience in the equities space and have a solid foundation in quantitative analysis. This role presents an exciting opportunity to collaborate with seasoned professionals and contribute to the advancement of innovative investment strategies. Your primary responsibilities will include collecting, cleansing, and analyzing extensive datasets associated with equity markets. You will also play a key role in developing and executing quantitative models to bolster trading strategies and inform investment choices. Monitoring and assessing the real-time and historical performance of these models and strategies will be a crucial aspect of your role. Additionally, you will be tasked with generating automated reports on model performance, market conditions, and performance drivers. Collaboration with senior analysts, portfolio managers, and other team members will be essential to support the investment process effectively. To qualify for this position, you should hold a Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master's degree would be advantageous. You must have 2-3 years of experience in quantitative analysis within equities trading. Proficiency in programming languages, particularly Python, is required, along with familiarity with SQL and data visualization tools. Strong analytical and problem-solving skills are essential, enabling you to interpret complex data and derive actionable insights accurately. A keen eye for detail and a commitment to precision are critical attributes for success in this role. Candidates with knowledge of financial instruments, market microstructure, trading strategies, risk management principles, and quantitative finance tools will be preferred. Experience with optimizations, risk models, and regression analysis would also be beneficial for the role.,

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