Citi is looking to solve complex financial problems facing their trading businesses and clients through innovative quantitative solutions and analytics.
Requirements
- Excellent mathematical skills, specifically as it relates to Data Analysis and Statistical Modeling
- Excellent programming skills in C++, Python or Java
- Experience designing, developing, and implementing artificial intelligence models and machine learning algorithms
- Knowledge of derivatives modeling to algorithmic execution
- Familiarity with traditional financial engineering principles and the latest machine learning and data science techniques
- Ability to work with large datasets and perform data analysis
- Proficiency in programming languages such as Python, Java, or C++
Responsibilities
- Building innovative solutions to the most complex financial problems facing trading businesses and clients
- Designing and developing quantitative solutions and analytics to support diverse investment and transaction strategies across Markets
- Working on a quantitative modeling desk and assigned a summer project to highlight the importance of quantitative methods
- Shadowing multiple quantitative trading and structuring desks throughout the summer
- Participating in a business-wide Data Science competition
- Presenting results to senior leadership at the conclusion of the Summer Program
- Learning from professionals as they make markets for institutional client base while actively monitoring and hedging their risk
Other
- Obtaining a Bachelor’s or Master’s degree (graduating in Fall 2026 or Spring 2027) and majoring in Quantitative Finance, Computer Science, Engineering, Mathematics, and/or a closely related field
- Maintaining a GPA of 3.3 or above
- Excellent oral and written communication skills
- Ability to work in the New York office
- Enthusiasm, quick-thinking, and ability to juggle multiple tasks simultaneously
