2017- 2018 Quantitative Research Associate – Beijing Full-Time
About J.P. Morgan
J.P. Morgan is one of the most respected financial institutions in the world – which is why we can offer you an outstanding career. We have been doing first-class business in a first-class way for more than 200 years. Throughout our history, we have played a leading role in helping companies grow and markets develop. Globally we work together to deliver the best solutions and advice to meet our clients’ needs, anywhere in the world. We operate in more than 100 countries, and hold global leadership positions in each of our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients, shareholders and the firm every day.
Quantitative Research is an expert quantitative modeling group in J.P. Morgan, an unchallenged leader in financial engineering, statistical modeling, portfolio management, derivatives valuation and risk management. With more than 500 analysts worldwide, Quantitative Research partners with traders, marketers and risk managers across all products and regions.
Quantitative skills are a core capability of J.P. Morgan, contributing critically to product innovation, effective risk management and appropriate financial and risk controls. The team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies, to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals. We also develop portfolio risk-measurement methodologies and quantify credit and market risk exposures and economic capital.
J.P. Morgan is hiring for the QR center in Beijing. Multiple openings are available.
Support of trading businesses
Develop mathematical models for pricing, hedging and risk measurement of derivatives
Develop algorithms for electronic trading and order execution
Support both OTC and electronic trading activities by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools, and supporting analytics
Evaluate quantitative methodologies - identify and monitor model risk associated with derivative valuation models
Support of Central Risk Management and Finance, both IB and Corporate
Risk methodologies and engines
Capital and profitability measurement
Regulatory relations on capital models and model risk
In support of all of the above, designing and developing
Design and develop software frameworks for analytics and their delivery to systems and applications
Design efficient numerical algorithms and implement high performance computing solutions
Enrolled in a PhD, Masters or equivalent degree program in math, statistics, sciences, engineering, finance or computer science
Exceptional analytical, quantitative and problem-solving skills
Mastery of advanced mathematics and numerical analysis arising in financial modeling
Linear algebra, probability theory, stochastic processes, differential equations, numerical analysis
Experience with advanced statistical models for empirical estimation of risk models
Strong knowledge of options pricing theory or econometric modeling
Quantitative models for pricing and hedging derivatives
Econometric models for algorithmic trading and execution models
Strong software design and development skills, particularly in C++ / Python
Expertise in grid computing, software frameworks, and software life-cycle
Excellent presentation skills, both oral and written
Complete online application, and submit your CV at JobConnect
Candidates will be reviewed on a rolling basis, please apply early!