
Quantitative Portfolio Strategist/ Research
1 day ago
Company Name: Choice AMC Private Limited SEBI Registered
Mumbai
Website Link of your company:
Choice Group is an End-To-End financial services conglomerate, encapsulating the
entire range for financial products such as Stock Broking, Investment Management,
Insurance, Advisory Services, and Loans to individual and corporate clients, We are
listed on National Stock Exchange (Choice International Limited).We have grown in
both Organic and Non Organic way; We have acquired the companies in Non-
Banking Finance space, Wealth Management space, Equity
Brief about your company
Broking space and Insurance Distribution in last few years.
Job Type: Full-time
Job Title/Designation:
Sr. Quantitative Portfolio Strategist / Research
Job Role & Responsibilities:
Systematic Strategies: Primary area of focus will be the development of
systematic strategies (ETFs) in the equities, & portfolio space, both in
linear & volatility space. (Index, Equities & Commodities);
Research: Conduct research and statistical analyses in the evaluation of
securities across Equities, Index, and Global Commodities
Research: Work with large data sets, including unconventional data sources,
to predict and test statistical market patterns.
Research: Conceptualize valuation strategies, develop and continuously
improve mathematical models, and translate algorithms into code. Research: Back test and implement trading models and signals in a live trading environment.
Portfolio Management: Monitor daily liquidity management, portfolio re-
balancing, corporate action analysis, client activity, risk and performance monitoring
Programming: Develop code in Python for back testing, analysis,
and live production dashboards, including contribution to back
testing layers, including designing databases.
Skills & Qualifications Required:
MUST: Strong quantitative and programming background with a degree in statistics, engineering, computer science, mathematics, or a highly quantitative field
MUST: Experience in the investment industry or portfolio management (4+ years), with a solid understanding of financial instruments and derivatives.
Excellent knowledge of probability and statistics, including machine learning, time-series analysis, pattern recognition, and NLP
MUST: Hands-on programming experience in scripting (e.g.
Python), analytical packages (e.g. R, MATLAB) and a deep
interest in technology solutions related to portfolio management, trading, and data analytics. Ability to work quickly and accurately in a fast-paced, data-
driven environment.
Excellent analytical and problem-solving skills, with the ability to translate complex technical concepts into actionable insights.
Effective written and verbal communication skills, including the ability to explain technical topics to non-technical stakeholders.
Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
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