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Job Details
Firm and Team:
As a tier 1 global provider, Citi supports a follow-the-sun service model for global Cash Equities clients across key hubs in New York, London and Hong Kong, with peripheral trading desks spread across a much boarder global geography. Citi Cash Equities business currently supports connectivity between approx. 67+ global markets and 3,000+ clients for a broad range of Execution Services (High Touch, Low Touch and Program Trading).
Electronic Trading within Citi is a fast-growing area that is making ongoing investment in technology transformation to ensure state of art trading platform, algo engine and OMS. It is our goal to have same technology underpins all three regional trading hubs, and a leading-edge algorithmic platform.
The successful candidate must possess good equity market microstructure experience and a strong knowledge of the current trading landscape with regulated markets, dark pools and central risk trading.
Job Responsibilities:
- Working closely with Clients, Coverage, Quant, Sales, Tech, Compliance for E2E performance of equity electronic trading platform with a commercial focus
- Translating client electronic execution requirements/ feedback to drive product enhancements
- Working closely with clients in optimizing their execution performance based on deep dive transaction cost analysis (TCA)
- Defining book of work items and closely collaborating with several internal teams (quant/ tech/ control functions) from a product management prospective to deliver state of art trading solutions
- Evaluate impact of market micro-structure/ liquidity landscape changes and optimizing product suite based on that
- Generating product content and marketing material for clients
Qualifications:
- Bachelor’s or Masters degree in Engineering or Quantitative field
- In-depth understanding of equities electronic execution and trading analytics
- Experience in Algorithmic Trading/ Analytics/ SOR/ Internalization
- Excellent analytical, interpretive and problem solving skills
- Experience with data analysis utilizing q/kdb+ and python or R
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Job Family Group:
Product Management and Development------------------------------------------------------
Job Family:
Product Development------------------------------------------------------
Time Type:
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Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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