Description
I am sending you the job description for the role of Data Analyst Intern at Astha Credit & Securities Pvt. Ltd.
Role: Data Analyst Intern
Location: Bangalore (HSR Layout) - Work From Home
Think of over a billion people in India. Now think of making them financially independent through astute investments and trades in securities. As more and more people are gaining financial literacy, the sector is seeing a growth of 71% in the cash market and 36% in the equity market. This is the fastest growing mega sector of India.
For 20 years, ACS has continuously delivered exceptional service across exchange traded derivatives, cash market, commodity products and e-IPO. This exceptional experience of managing trades is being clubbed with a young & highly motivated tech team to make ACS the fastest growing trading platform among the top players in India, continuously for the past 4 years.
Awards by MCX & NSE
Leading Member - Futures, MCX 2022
Torchbearers of Commodity Derivatives Market , MCX 2019.
Star performer (Highest growth rate) - NSDL, 2019.
Star performer (Account Opening) - NSDL, 2019.
ACS is looking for talented individuals who would love to continuously build the best customer experience products and want to be part of this high growth story.
Key Responsibilities
Candidates will be required to use APIs from our data vendor which has all sorts of data corresponding to Mutual funds. Its past returns, historical NAV etc. The task is to utilize the data APIs and make a basket of mutual funds or a portfolio of mutual funds and run analysis on this basket which a user can create. The analysis has the following scope and not limited to:
Historical performance of the basket.
Past returns that this basket has generated.
Standard Deviation/Risk of this basket.
Plotting an Efficient Frontier.
Computing various portfolio metrics of the user created portfolio such as Alpha, Beta, Sharpe Ratio, Sortino Ratio etc.
Predict future return of a portfolio using Monte Carlo Simulations.
Candidate is required to do the above analysis in python and create APIs for the results
they have obtained from the above analysis.
Skills & Qualifications
Currently pursuing a Bachelor's or Master's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Economics, or related disciplines).
Strong analytical and problem-solving skills, with the ability to work with complex data Sets.
Strong knowledge of Time Series Analysis.
Strong knowledge of Regression + Statistics.
Knowledge of Monte Carlo Simulations is a plus.
Knowledge of Mutual Funds is a plus.
Proficiency in data analysis tools and software (e.g Python).
Experience with statistical analysis, data visualization, and data manipulation techniques.
Strong written and verbal communication skills to convey technical information effectively.
Ability to work both independently and collaboratively in a team environment.
Prior experience or coursework in data analysis is a plus.