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MQA – Cash Quantitative Development Global Lead – VP/Director – New York/London Job Details

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Employer:  Citi Group
Job Ref No:  17060557
Job Title:  MQA – Cash Quantitative Development Global Lead – VP/Director – New York/London
Expertise:  Trading/Derivatives
  • Primary Location: United States,New York,New York
  • Other Location: United Kingdom,England,London
  • Education: Bachelor's Degree
  • Job Function: Trading
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: No
  • Job ID: 17060557

About Citi

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi's Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.

Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all.

Job Purpose:

Senior VP/Director level Quantitative Analyst to join the Equities Quantitative Analysis group within MQA and take the lead role in designing, overseeing and extending the architecture and development, build and testing platform across all Equities Cash Quant teams.

Job Background/Context:

The Equity Quantitative Analysis team creates, implements and supports the models for the Equities Division within Citi Markets. As part of the front office, the team supports the trading business in all quantitative aspects. The Equity Cash teams focus particularly on algorithmic trading, centralized risk management and analytics.

Key Responsibilities:

This candidate will report to the global head of the Equities Quantitative Analysis group. The candidate will be a lead architect and developer within the global Quant team as part of the strategic development of the Electronic Execution algorithmic platform, the Central Risk optimization platform and the Analytics platform. The candidate will define the development process across all the Equity Cash Quant teams, will lead the enhancement of the build and testing infrastructure and will act as a key person to enforce development standards globally.

Development Value:

Opportunity to gain in depth exposure to a wide variety of algorithmic businesses. Opportunity to define strategy across a group of more than 40 quants globally. Opportunity to work directly with the global head of the Equities Quant team to build the Equity cash franchise.

• Strong background in computer science is required. Significant experience in key languages (C , C#, Java, Python, q/kdb, SQL) and exposure to the development and maintenance of complex software platform is vital. Experience with source management tools, continuous integration software and testing tools is also critical.
• An understanding of Equities markets and exposure to algorithmic trading is a definite advantage.
• At least eight years of experience in software development, architecture and testing is required with preference given to those with experience in an investment bank.

• Show interest in the financial markets
• Show keen interest in implementation of algos/models and the architecture of model libraries
• Strong teamwork capability
• Strong technical programming (C , C#, Java, Python, q/kdb/ SQL)

Degree in computer science or a mathematical subject (Maths/Physics/Engineering etc.).

Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organizational success.
Region/Country:  Americas, United States
States/Counties:  New York
City:  New York

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