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Position: Financing Quant Developer
Institution: UBS Group AG
Location: Shanghai, China
Duties: Working with UBS Global Financing Services, Equities IB, focusing on optimizing economic profit of the department; Work closely with Trading, IT team and fellow Quant members to build quantitative platforms and models for Global Financing Services, including Securities Borrowing Lending, Funding, Delta-one trading, Inventory Management etc; Understand market dynamics and provide tools to visualize/identify opportunities; Engage and understand the desk’s balance sheet and risk requirements/controls; Work on data analytics project and propose solutions to trading desks; Design and document new strategies with Trading + Quant team; Design and enhance Quant library (KDB, Python); Test driven development on Quant Library; Documentation of theory and implementation (Latex); Provide test and control framework for front to back operational testing/recoverability; Participate in technology design discussions for scalability and performance; Provide support/tools for explaining P&L, Risk and OTC products pricing
Requirements: Minimum Bachelor degree from a top tier University. Statistics, Computer Science, Engineering or Mathematics majors preferred; Experience with modelling programming language such as Python, Matlab; Experience with database languages such as SQL and Q/kdb; Experience in software development tools such as source control; Demonstrate experience in mathematical documentation such as Latex; Beneficial to have knowledge and some experience in C++/Java; Knowledge and interest in financial markets especially equity related products; Knowledge and interest in data analysis and data visualization; An excellent team player focusing on high quality deliveries; Strong communication skills in both written and verbal English; Strong interest in applying academic knowledge/technical skills in solving practical financial problems; 1+ year experience in quant developer role is preferred
   
Text: http://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5012&PageType=JobDetails&jobid=214468&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. Financing Quant Developer China Investment Banking Investment Bank Job Reference # 212041BR City Shanghai Job Type Full Time Your role · Working with UBS Global Financing Services, Equities IB, focusing on optimizing economic profit of the department. · Work closely with Trading, IT team and fellow Quant members to build quantitative platforms and models for Global Financing Services, including Securities Borrowing Lending, Funding, Delta-one trading, Inventory Management etc. · Understand market dynamics and provide tools to visualize/identify opportunities. · Engage and understand the desk’s balance sheet and risk requirements/controls · Work on data analytics project and propose solutions to trading desks · Design and document new strategies with Trading + Quant team · Design and enhance Quant library (KDB, Python) · Test driven development on Quant Library · Documentation of theory and implementation (Latex) · Provide test and control framework for front to back operational testing / recoverability · Participate in technology design discussions for scalability and performance · Provide support/tools for explaining P&L, Risk and OTC products pricing. Your team The Shanghai Quantitative Analytics Group of UBS is an entrepreneurial, cross-asset team focusing on building the market-leading analytics across all asset classes and provides comprehensive quantitative analysis support to all business units throughout the Investment Bank in all regions. In collaboration with sales and trading, the team also develops bespoke solutions for clients according to their investment objectives and constraints, well positioned to take advantage of the fast growing FinTech trend. It was established in 2006 and located in Lu Jia Zui Financial Town of Shanghai Pudong. It has a stable team of quantitative analysts, structurer and developers with a diverse academic background (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics and Financial Engineering). Your expertise · Minimum Bachelor degree from a top tier University. Statistics, Computer Science, Engineering or Mathematics majors preferred · Experience with modelling programming language such as Python, Matlab · Experience with database languages such as SQL and Q/kdb · Experience in software development tools such as source control · Demonstrate experience in mathematical documentation such as Latex · Beneficial to have knowledge and some experience in C++/Java · Knowledge and interest in financial markets especially equity related products · Knowledge and interest in data analysis and data visualization · An excellent team player focusing on high quality deliveries · Strong communication skills in both written and verbal English · Strong interest in applying academic knowledge/technical skills in solving practical financial problems · 1+ year experience in quant developer role is preferred. *#LI-TW1 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 more than 50 countries. Do you want to be one of us? Join us We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, 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. English Terms of use Privacy statement Report fraudulent mail Cookies IBM Online Privacy Statement
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