Citi is offering an exciting opportunity for aspiring individuals to join as Summer Analysts (Quant) through an internship program. To be eligible for this role, candidates should be pursuing a Master’s or Bachelor’s degree in Computer Science, Electronics & Communications, Electrical Engineering, Mathematics, Statistics, or Mathematics & Computing from a premier academic institution. The position requires candidates to possess strong programming and computer science skills, with proficiency in at least one of Python, C++, or Java. Effective communication skills, both verbal and written, are also essential for success in this role.
Company Name: Citi
Job Role: Summer Analyst (Quant)
Job Type: Internship
Education Required: Pursuing Master’s/Bachelor’s degree in Computer Science/Electronics & Communications/Electrical Engineering/Mathematics/Statistics/Mathematics & Computing from a premier academic institution.
Skills Required: Strong programming and computer science skills. Good knowledge of Python, C++ or Java (any one). Good communication skills,both verbal and written.
Job Location: Mumbai
Role and Responsibilities:
- Citi is looking to have summer interns for its team of highly talented individuals who are working on the research and development of analytics, signals and trading tools used for Citi’s Equity business. The work covers a number of product lines including pre-trade, intra-trade, post-trade products, electronic execution and central risk platforms across all major global markets.
- A successful candidate will get opportunity in building quantitative analytics tools for market impact cost modeling, algo/signals research or automated management of portfolio risk and equites market microstructure. The candidate will use their knowledge of statistics to design, implement and validate models. They will use their strong programming capability to collect, manipulate and aggregate large data sets and develop production ready components. They will use their presentation skills to summarize model outcomes and write up compelling analytical notes..
- Data types that the team works with include ultra-high frequency market trade and quote (TAQ) data and electronic trading order and execution data.
Required Skills and Qualification:
- Strong analytical and quantitative background, with good knowledge in one or more of the following disciplines – probability, quantitative finance, computer science, linear algebra, numerical methods, statistics, econometrics, time series analysis.
- Strong programming and computer science skills.
- Good knowledge of Python, C++ or Java (any one)
- Knowledge of Q/KDB+ is preferable or any No-SQL databases.
- Understanding of web tools and languages e.g. JavaScript.
- Good communication skills, both verbal and written.
