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The role involves researching, designing, and implementing equities execution algorithms to improve trading performance. You will collaborate with global teams and stakeholders to develop robust, production-quality trading components while adhering to firm-wide risk and governance policies.
Candidates must hold a degree in Finance, Mathematics, Engineering, or Computer Science with extensive experience in quantitative development. Proficiency in Java or C++ is required, along with strong analytical skills and familiarity with algorithmic trading environments.
Are you a highly skilled Quantitative Developer eager to contribute to cutting-edge algorithmic trading strategies within a global financial institution? Citi's Cash Equity Quant team in Mumbai is seeking a talented individual to join its dynamic group. This role offers an exceptional opportunity to combine strong quantitative, technical, and soft skills to foster innovation and drive the development of best-in-class execution performance.
The Cash Equity Quant team, part of Citi Markets, is at the forefront of the research, design, implementation, and maintenance of Equities Execution Algorithms and related Trading Products for Citi’s institutional clients and internal trading desks. The Mumbai team operates within a fast-paced environment and collaborates closely with quant teams in New York, London, and Hong Kong. This position offers a unique opportunity to be involved in challenging new initiatives, learn the latest developments in the Electronic Trading domain, and be a key part of Citi’s growing Equity Trading franchise.
Improve Algorithmic Trading products by performing both implementation and research work, with the objective of providing best-in-class execution performance.
Work on the implementation of ideas to enhance existing and develop new algorithms (e.g., VWAP, liquidity seeking), models (e.g., optimal schedule, market impact model), and short-term predictive signals.
Implement algorithm enhancements and customizations with production-quality code.
Apply best practices towards the development and testing of modular, reusable, and robust trading components and strategy code.
Collaborate closely with Traders, Sales, and technology professionals.
Contribute to building a culture of responsible finance, good governance and supervision, expense discipline, and ethics.
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.
Adhere to Citi’s Code of Conduct and the Plan of Supervision for Global Markets and Securities Services, ensuring all team members understand and follow these guidelines.
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.
Master’s or Bachelor’s degree in Finance, Mathematics, Engineering, Computer Science, or a related field.
Extensive experience in a comparable quantitative development and analysis role, ideally in the financial sector.
Strong programming and software design skills in Java or C++.
Analytical and quantitative skills, with experience using statistical programming languages such as Python or R (a plus).
Experience with Q/KDB or time series databases (a plus).
Experience working with algorithmic trading products is preferable.
Good communication skills, both verbal and written.
Ability to manage multiple tasks and projects effectively in a fast-paced work environment.
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.
Challenging Initiatives: Be involved in challenging new initiatives, learn the latest developments in the Electronic Trading domain, and be part of Citi’s growing Equity Trading franchise.
Global Collaboration: Collaborate closely with quant teams in New York, London, and Hong Kong, contributing to a global effort.
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.
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.
If you are a highly motivated Quantitative Developer with strong programming skills and a passion for algorithmic trading, eager to contribute to a global team in Mumbai, we encourage you to apply.
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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 Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities. For information on Citi’s commitment to privacy, visit on.citi/privacy.
Offices: 388 Greenwich Street, New York, New York 10013, US · Locations in over 100 countries, http://www.citigroup.com/citi/global/index.htm, 10022, US · 5900 Hurontario St, Mississauga, ON L5R 0B8, CA · 165 Jalan Ampang, Kuala Lumpur, Federal Territory of Kuala Lumpur 50450, MY · Calle 62C O, Panama City, Panama, PA
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