07789 Citigroup Global Markets India Private Limited

<html><body>Are you seeking a career move that places you at the heart of a global financial institution, contributing to cutting-edge algorithmic trading strategies? Citi's Cash Equity Quant team in Mumbai is looking for a talented Quantitative Analyst to join its dynamic group. This role offers an exceptional opportunity to combine strong quantitative, technical, and soft skills to foster innovation within a collaborative, fast-paced environment. Team/Role Overview:The Cash Equity Quant team, part of Citi Markets, is responsible for the research, design, implementation, and maintenance of Equities Execution Algorithms and Central Risk models. These models are vital for Citi’s institutional clients and internal trading desks. The Mumbai team collaborates closely with quant teams in New York, London, and Hong Kong, contributing to a global effort to innovate in the Electronic Trading domain. This position is a unique opportunity to be involved in challenging new initiatives and contribute to Citi’s growing Equity Trading franchise. What You'll Do:<ul><li>Improve Cash Equity quantitative models through both research and implementation work, aiming for best-in-class execution performance.</li><li>Research and analyze ideas for enhancing existing and developing new quant models, such as optimal schedule, market impact models, short-term predictive signals, and volatility-based signals.</li><li>Perform in-depth analysis of large data sets comprising market data, orders, executions, and derived analytics.</li><li>Conduct flow analysis and tune performance for various client flows.</li><li>Provide data and analysis to support initial model validation and ongoing performance analysis.</li><li>Collaborate closely with Traders, Sales, Technology, and Model Risk professionals.</li><li>Contribute to building a culture of responsible finance, good governance and supervision, expense discipline, and ethics.</li><li>Appropriately assess risk/reward of transactions when making business decisions and ensure all team members understand the need to do the same, demonstrating proper consideration for the firm’s reputation.</li><li>Adhere to Citi’s Code of Conduct and the Plan of Supervision for Global Markets, ensuring all team members understand and follow these guidelines.</li><li>Adhere to all policies and procedures as defined by your role and appropriately assess risk when business decisions are made, safeguarding Citigroup, its clients, and assets.</li></ul> What We'll Need From You:<ul><li>Strong academic background (Master’s or Bachelor’s degree in Finance, Mathematics, Engineering, Computer Science, or a related field).</li><li>Demonstrated experience in a comparable quantitative modeling or analytics role, ideally in the financial sector.</li><li>Experience applying statistical modeling and machine learning towards the analysis of large data sets.</li><li>Strong programming, analytical, and quantitative skills, with experience using statistical programming languages such as Python.</li><li>Experience with Q/KDB or time series databases would be a significant advantage.</li><li>Experience with Predictive signal, Market Impact models, and portfolio optimization are desirable.</li><li>Experience of working with algorithmic trading products or Central Risk business is preferable.</li><li>Good communication skills, both verbal and written.</li><li>Ability to manage multiple tasks and projects effectively in a fast-paced work environment.</li></ul> What We Can Offer You:<ul><li>Innovation & Impact: Work in a fast-paced environment as a member of a quant group responsible for research and development of cutting-edge algorithmic trading strategies and central risk models.</li><li>Challenging Initiatives: Be involved in challenging new initiatives, learning the latest developments in the Electronic Trading domain, and contributing to Citi’s growing Equity Trading franchise.</li><li>Global Collaboration: Collaborate and work closely with quant teams in New York, London, and Hong Kong.</li><li>Career Growth: This position offers the opportunity to combine strong quantitative, technical, and soft skills to foster innovation in a collaborative team culture, providing a clear path for professional development.</li><li>Comprehensive Benefits: As part of a leading global financial institution, you will receive a competitive compensation package and access to a wide array of learning and development resources.</li></ul>If you are a highly motivated Quantitative Analyst with a passion for algorithmic trading and a strong analytical mindset, eager to contribute to a global team in Mumbai, we encourage you to apply. ------------------------------------------------------ Job Family Group: Institutional Trading ------------------------------------------------------ Job Family:Quantitative Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.   If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review <a href="https://www.citigroup.com/citi/accessibility/application-accessibility.htm" target="_blank">Accessibility at Citi</a> . View Citi’s <a href="https://www.citigroup.com/global/eeo-aa-policy" target="_blank">EEO Policy Statement</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">Know Your Rights</a> poster. </body></html>

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