Citi Internship 2024 – Exciting career growth !!! Summer Analyst (Quant) – Intern opportunity at Citi for B.E/B.Tech/M.E/M.Tech/B.Sc/M.Sc/Any Degree graduates. This might be a stepping stone for your dream job. Candidates looking for an Internship opportunity in Mumbai can utilize this offer. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below.
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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 several product lines, including pre-trade, intra-trade, and post-trade products, electronic execution, and central risk platforms across all major global markets. Candidates can work with stochastic models to write calibration processes and create automation tools and backtest trading ideas. The right candidates will interact with trading desks to automate processes to reduce operation risk and achieve greater efficiency. Candidates must be able to work within tech-prescribed infrastructure with calibration across teams with a common goal.
Join us at Citi. This is an opportunity to take on an exciting new career challenge. It’s a chance to hone your technical skills and advance your career. Don’t miss this opportunity to power your career. Share with your friends and family! If you want more details regarding the job, like salary, age, mode of application, selection, and job location, you can find them below. You can check the official website below if you still have any doubts.
Citi Internship 2024:
| Job Role | Summer Analyst(Quant) |
| Qualification | B.E/B.Tech/M.E/M.Tech/B.Sc/M.Sc/Any Degree |
| Batch | Any Batch |
| Experience | Freshers |
| Stipend | Best in Industry |
| Job Location | Mumbai |
| Last Date | ASAP |
Detailed Eligibility:
Summer Analyst (Quant) – Intern:
- Pursuing Master’s/Bachelor’s degree in Computer Science/Electronics & Communications/Electrical Engineering/Mathematics/Statistics/Mathematics & Computing from a premier academic institution.
- Students from other departments with projects or relevant courses in Data science, machine learning, statistics, C++/python programming can also apply for the position.
- Minimum CGPA: 7.5
Skills Required:
- 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.
Data types that the team works with include ultra-high frequency market trade and quote (TAQ) data and electronic trading order and execution data.
- Algorithmic trading analytics
- Microstructure/signals research
- Pre-trade cost and risk estimates
- Portfolio risk optimizer
- Quantitative research for internal and external publications
- Transaction Cost Analysis (TCA) and improvement of strategy performance
- Bespoke quantitative research for EE clients
Job Description: 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.
How to Apply for Citi Internship 2024?
Interested and eligible candidates can apply online as soon as possible by using the link below.
For more details & Apply: Click here.
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