Markets - Quantitative Analysis, Full-Time Analyst, New York – USA, 2027

Citi•New York, NY

2d•$110,000 - $125,000•Hybrid

About The Position

Markets Quantitative Analysis (MQA) at Citi develops and implements mathematical models and analytical tools for pricing, risk management, and trading strategies across various asset classes. MQA professionals collaborate closely with traders, structurers, and risk managers to provide quantitative expertise and support critical business decisions. Their work involves analyzing market data, developing algorithms, and building software to enhance trading performance and manage risk effectively. MQA builds tools and models that assist traders and clients in pricing, hedging and structuring securities, and provide critical information and advice for managing risk across all market trading units. Trading increasingly relies on quantitative techniques as financial products become more sophisticated, and algorithmic trading models identify opportunities across many asset classes. Citi Markets is looking for Full-Time Analysts to join the Citi Quantitative Analysis team at the New York headquarters. Citi’s Full-Time Analyst program starts in the Summer of 2027 and begins with orientation and training. This is a 2 ½ year program. The program is highly competitive and selective. Our analyst program gives recent graduates an introduction to our Equities, Foreign Exchange (FX), Rates, Commodities, and Spread Products franchises. Full-time Analysts gain exposure to senior professionals who will serve as their mentors throughout the program. At the end of the program, our goal is to ensure that Analysts are placed in a job that best pairs their skill sets and personal interests with the needs of the firm.

Requirements

Ability to think globally and creatively—with an innovative approach to doing business
Positive attitude and work ethic
High level of personal integrity, commitment to excellence and a desire to learn
Ability to work independently and in a team
GPA of 3.3 or above
Obtaining a Bachelor’s or Master’s degree (excluding MBA’s), majoring in Quantitative Finance, Computer Science, Engineering, Mathematics and/or a closely related degree.
Graduating between Fall 2026 and Spring 2027
Excellent mathematical skills, specifically as it relates to Data Analysis and Statistical Modeling
Excellent programming skills in one or more of these languages (Python, SQL, C++)
Experience in designing, developing, and implementing AI models and machine learning algorithms
Excellent interpersonal skills, coupled with a strong attention to detail and exceptional planning and organizational skills
Intellectually curious and proactively seek out new and creative ideas
Self-starter who thrives both independently and as part of a collaborative team, with a strong commitment to personal growth and career development, including mobility and flexibility
Unwavering commitment to integrity and ethical decision-making
Fluent in written and spoken English; proficiency in a second language is advantageous

Responsibilities

Build tools and models that assist traders and clients in pricing, hedging, and structuring securities.
Provide critical information and advice for managing risk across all market trading units.
Research and analyze market trends for both internal and external clients.
Develop a thorough understanding of financial markets.
Utilize quantitative methods to model market behavior.
Use data science techniques to analyze large-scale market data.
Trade and/or structure exotic derivatives or design trading algorithms.

Benefits

Competitive Salary: $110,000 annually
Hybrid Model: Up to two days of remote work per week
Generous annual leave
Comprehensive Benefits: A wide array of additional benefits
Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.