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Position: Algorithmic Trading Quant
Institution: UBS Group AG
Location: New York, United States
Duties: Are you a technical quant analyst? We are seeking a technical person to join our algorithmic trading team within UBS Global Markets. You will be working primarily in the Credit asset class (Corporate bonds and Munis), with excellent Java coding skills, decent analytics skills and Credit market knowledge a requirement. As an algorithmic quant, you will be involved in every aspect of algo trading: from creating strategies to writing infrastructure. Our front office algo quant team covers these and everything in between
Requirements: Excellent communication skills including the ability to easily understand business, coding and modeling issues; A person of integrity, comfortable to challenge and someone who collaborates naturally; Ready for the responsibility of real ownership delivery
   
Text: http://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5012&PageType=JobDetails&jobid=214804&frmSiteId=5050 Skip to the first action element of main content UBS - Experienced professionals - job boards Logo Job search Why UBS?Careers blogSocial media buzzFAQ Sign In Swipe left and right to navigate between previous and next jobs. Algorithmic Trading Quant United States - New York Quantitative Analysis Investment Bank Job Reference # 212378BR City New York Job Type Full Time Your role Are you a technical quant analyst? We are seeking a technical person to join our algorithmic trading team within UBS Global Markets. You will be working primarily in the Credit asset class (Corporate bonds and Munis), with excellent Java coding skills, decent analytics skills and Credit market knowledge a requirement. As an algorithmic quant, you will be involved in every aspect of algo trading: from creating strategies to writing infrastructure. Our front office algo quant team covers these and everything in between. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team The Rates and Credit algorithmic trading team is a small team with a large mandate in the bank. We're technical and yes there is a requirement for strong statistical and coding skills. The team is diverse and the working environment is challenging (open plan on the trading floor) but also enjoyable. Your expertise - you have:: • Excellent Java - our trading engine is Java and you will be expected to work on all parts of it. • Knowledge of US Corporate Credit from previous work in IT, quants or trading. • Decent python skills on the usual analytics stack (scikit, numpy, etc) • Experience with industrial coding environments (version control, deployment, testing, compliance) • Great problem-solving ability and the ability to work independently Your expertise • Excellent communication skills including the ability to easily understand business, coding and modeling issues. • A person of integrity, comfortable to challenge and someone who collaborates naturally. • Ready for the responsibility of real ownership delivery Your colleagues About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in almost 900 offices and more than 50 countries. Do you want to be one of us? Join us Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Scroll to top English Terms of use Privacy statement Report fraudulent mail Cookies IBM Online Privacy Statement
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