Requirements
And Skills:
• Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply)
• Experience using ML libraries, such as Sci kit-learn, caret, NLTK or spark MLlib
• Excellent Software skills (proficiency in Python - Data Science stack)
• Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions
• Data Engineering experience/coursework and ability to integrate multiple data sources
• Knowledge of SQL and relational Databases
• Comfortable with UNIX Operating System
• Knowledge of Docker and Git
• Strong analytical, design, problem-solving, and troubleshooting/debugging skills
• Ability to work independently in a home office and doesn’t need hand holding
• Flexible schedule offered, but you will work evenings most days post your college (anywhere between ~3-5 hours daily)
What You’ll Do, But Not Limited To:
• Under the general direction of senior researchers, conduct empirical research using public and proprietary data
• Complete data preparation, data testing using Python (ETL), and a big part of day-to-day function
• Utilize statistical techniques to help develop analytic insights, sound hypotheses, and informed recommendations
• Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL
• Diagnosing and resolving issues in production
• Enhancing and developing all aspects of the company’s technology suite by collaborating with development teams to determine application requirements
• Assessing and prioritizing client feature requests
Who You Are:
• Highly Quantitative - your skills are the envy of all your friends
• Reliable, Independent, and able to wear multiple hats
• Honest - we hold transparency with high regard
• Team Player - likes collaborating and working as a team
• Communicative - Strong verbal and written communication skills
• Self-Starter - able to take ownership of projects and identify what needs to be done
• Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work
• Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes
Nice To Have:
• Pursuing/Completed Ph.D./Masters in Finance, Economics or Business
• Have built quantitative models either in course work or in other internships is a plus
• Intellectually curious and eager to learn about Finance (Investments and Corporate Finance)
• Prior internship experience in Financial Services
Benefits
You’ll Love:
• Remote First Company - 100% remote to work with your schedule
• Flexible Hours
• Competitive Stipend/Salary
Note:
• Zero-tolerance policy for plagiarism
• Please only submit your assignment via a GitHub link, any other forms of submission will be auto rejected
• Preference will be given to candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI or a top schools in USA/UK
• Please do not send LinkedIn Requests to Connect!