The fixed income Global Research Technology is looking for a senior hands - on developer to jointheir London team. The team directly work with the GlobalQuant Research Group and portfolio managers to research, develop and implementquantitative investment processes in fixed income, commodity and currencies.This is an excellent opportunity for someone who is willing to work with cuttingedge technologies such as data-driven investment, cloud computing, machine learningand big data analytics etc., as well as learn and develop from an exceptionallystrong technical team.
The successful candidate:
Will be part of the high-calibre development team that works closely with the Front Office users on end-to-end solutions
Must be curious, hardworking, detail-oriented and motivated by complex analytical problems
Has to demonstrate an interest in financial markets and have ability to communicate directly with the business users
Should be able to work individually or as part of a team to achieve project goals
Must have a desire to learn and grow their knowledge on fixed income markets and portfolio management
J.P. Morgan Asset Management (Investment Management) is a leading investment manager of choice for institutions, financial intermediaries and individual investors, worldwide. With a heritage of more than two centuries, a broad range of core and alternative strategies, and investment professionals operating in every major world market, we offer investment experience and insight that few other firms can match.
J.P. Morgan is a global leader in asset and wealth management services. The Asset Management line of business serves institutional, ultra-high net worth, high net worth and retail clients through its Global Investment Management and Global Wealth Management businesses. With client assets of $2.4 trillion and assets under management of $1.7 trillion, we are one of the largest asset and wealth managers in the world.
3+ years of strong programming experience with Java or Python, staying on top of latest trends and technologies
Strong Relational DB experience (MS-SQL will be a plus). Proven record of data modeling, including time series data, building ETL and data quality tools
Experience of working in financial services, ideally in a front-office environment.
Understanding of equity or fixed income markets and portfolio management
Knowledge of Machine Learning, Cloud, Big Data Analytics
Experience working with market Data Feeds
CFA, FRM, and/or Financial Engineering degree and/or risk management knowledge is a major plus
Internal Number: 6090931
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