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Trader, VP

Citigroup Global Markets Inc. · New York, NY telecommuting permitted

Education
Bachelor's in Applied Mathematics, Statistics or related quantitative field
Experience
24 months
Wage
$200,000–$250,000 per year (from the posting)
First / last seen
2026-10-11 / 2026-10-14

Experience must include

Linear RegressionTime Series AnalysisSegmentationDecision TreeMonte-CarloData StructuresDynamic ProgrammingPythonRCMATLABKDB

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Where this job is advertised

National Labor Exchange (state job banks, via usnlx.com search) swa live
first seen 2026-10-11 · posted 2026-10-11

Original posting ↗

Application instructions (verbatim)

Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26996160.

This source's terms don't allow us to republish the full ad; read it at the original posting. Signed-in applicants see the full text on their fit page.

State job banks via NLx, all orders (NY, CA, TX, GA, FL) swa live
first seen 2026-10-12 · posted 2026-10-11

Original posting ↗

Application instructions (verbatim)

Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26996160.
Full posting text
Trader, VP
Citigroup Global Markets Inc. — New York, NY

# 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 candidates 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 Bachelors 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. Salary range: $200,000 to $250,000/yr; 40 hrs/wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26996160. Citi offerings may include discretionary incentive & retention awards for eligible em lo

Why we think this is a PERM ad (100% confidence): Rules: PERM-form signals: foreign_equivalent, experience_must_include, reference_code, telecommute, degree_field, exact_experience