Trader

Citi; New York (NY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident, and disability 보험

Wellness programs

Paid time off

Job summary

Citigroup Global Markets Inc. in New York, NY seeks a Vice President Trader to develop index-impact back-testing engines and perform rigorous quantitative analyses for strategy evaluation. You will work with Python, R, KDB, and SQL to build models and inform trading decisions.

The role involves collaboration with research, trading and sales teams to optimize index management, with a telecommuting/hybrid option within a commutable distance. A strong background in quantitative finance is required.

Qualifications

• Bachelor’s degree or foreign equivalent in applied mathematics, statistics or related quantitative field.
• 2 years of experience as a Trader, Quantitative Analyst, or related role developing quantitative models and investment strategies.
• Experience with Python/R/C/MATLAB for trade analytics, back-testing and automation; KDB/SQL for data querying.

Responsibilities

• Develop index-impact back-test engine and conduct thorough risk/returns analysis to evaluate strategies under various market scenarios.
• Build financial models, perform portfolio mathematics, and optimize strategies for trading desks.
• Collaborate with research, trading and sales teams to inform index management and rebalancing.
• Prepare reports and insights on index performance and rebalance outcomes for senior management.

Skills

Linear regression

Time series analysis

Monte Carlo

Portfolio mathematics

Risk analysis

Education

Bachelor’s degree in Applied Mathematics/Statistics or related quantitative field

Tools

Python

R

C

MATLAB

KDB

SQL

Job description

Citigroup Global Markets Inc. seeks a Trader, VP for its New York, New York location.

Duties: Develop different versions of index-impact back-test engine and conduct thorough specific risk returns analysis to evaluate the performance of each strategy under various market scenarios and to determine the optimal entry, exit, and directional bets on baskets. Perform computerized analysis of sophisticated financial and other quantitative data to be used in developing client proposals and strategic plans in KDB and Python. Formulate and apply mathematical modeling and other optimizing methods to interpret this data and assist in building financial models for a variety of trading desks. Utilize quantitative analytical skills to perform financial product modeling, portfolio structuring, asset allocation, stock market return analysis, and systems development analysis. Engage with quantitative team and provide insights to improve the optimization function of the systematic trading model. Work closely with the research, trading, and sales teams to ensure cohesive and informed index management strategies. Provide clients with detailed reports and insights on upcoming index rebalances and their potential effects. Address client queries and provide support related to index methodologies and rebalancing processes. Comprehend index methodologies to understand the fundamental and quantitative characteristics to identify trading opportunity which in long term provides opportunity for profit of the team. Build and automate market participation, earnings risk, and Barra factor risk attribution reports, as well as a stock buyback database in KDB and Python. Construct an ETF candidate’s database by parsing NSCC files, to constantly identify and exploit niche indices/ETFs. Perform discounted cash flow analysis, as well as comparative and pro forma analysis, and utilize analytical skills to organize, manipulate and analyze complex numerical and statistical data and other variables to develop company valuation models and perform in-depth quantitative industry studies. Prepare and present regular reports on index performance and rebalancing outcomes to senior management. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Requires a Bachelor’s degree or foreign equivalent in Applied Mathematics, Statistics or related quantitative field and 2 years of experience as a Trader, Quantitative Analyst, Trading Analysis Program Analyst or related position developing quantitative financial models and investment strategies for a global financial services institution. 2 years of experience must include: Quantitative analysis using Linear Regression, Time Series Analysis, Segmentation, Decision Tree, Monte-Carlo, Data Structures, and Dynamic Programming; Python, R, C, or MATLAB for trade analytics, back-testing, and automation; KDB and SQL for querying large datasets; Conducting statistical market trend analysis and comprehending real-time and historical data feeds, including market microstructure, demand/supply imbalances and positioning; Portfolio mathematics, including correlation matrices, linear algebra, and risk decomposition; Statistical analysis of market impact models to estimate and minimize transaction costs in trades; Selecting, configuring, and monitoring algorithms in real-time based on market conditions, focusing on constructing, pricing, executing, and hedging baskets of assets simultaneously along with risk exposure and P&L monitoring; Portfolio crossing and internal/external crossing networks; Order Management and multi-channel Execution Management Systems; and Communicating with external and internal clients. EO Employer.

Wage Range: $200,000 to $250,000

Job Family Group: Institutional Trading

Job Family: Trading

Primary Location: New York New York United States

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

Most Relevant Skills

• Wholesale Lending Operations Management.

Anticipated Posting Close Date: Nov 24, 2026

Automated Processing and AI: We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right

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