Markets - Quantitative Analysis, Full Time Analyst, New York – USA, 2026

Citi•New York, NY

2d•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. We’re committed to teaching you the ropes. Citi’s Full-Time Analyst program starts in the Summer of 2026 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. What you'll do: We'll empower you to build 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. We'll also enable you to research and analyze market trends for both internal and external clients. By the end of the Program, we'll ensure that you have: Developed a thorough understanding of financial markets Utilized quantitative methods to model market behavior Used data science techniques to analyze large-scale market data Traded and/or structured exotic derivatives or designed trading algorithms

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
You have a GPA of 3.3 or above
You are 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.
You are currently graduating between Fall 2025 and Spring 2026
You have excellent mathematical skills, specifically as it relates to Data Analysis and Statistical Modeling
You have excellent programming skills in one or more of these languages (Python, SQL, C++)
You have experience in designing, developing, and implementing AI models and machine learning algorithms
You have excellent interpersonal skills, coupled with a strong attention to detail and exceptional planning and organizational skills
You are intellectually curious and proactively seek out new and creative ideas
You are a 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
You have an unwavering commitment to integrity and ethical decision-making
You are 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
Developed a thorough understanding of financial markets
Utilized quantitative methods to model market behavior
Used data science techniques to analyze large-scale market data
Traded and/or structured exotic derivatives or designed trading algorithms

Benefits

Competitive Salary: $110,000 annually
Work Environment: Business casual attire
Hybrid Model: Up to two days of remote work per week
Paid Leave: Generous annual leave
Comprehensive Benefits: A wide array of additional benefits
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