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In this role, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making. The role will be in the firm's Applied AI and Machine Learning organization and will involve working closely with Global Research.
The successful candidate will apply data analytics techniques from both traditional statistics and machine learning to a combination of third party, publically available and JPMorgan proprietary datasets, with the goal of answering questions relevant to our Research analysts and the firm's clients.
Collaborate with Research analysts and multiple stakeholders to formulate relevant financial and business questions that can be answered by data analysis
Research and analyze data sets using a variety of statistical and machine learning techniques
Communicate final results and give context
Document approach and techniques used
Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases
Collaborate with other JP Morgan machine learning teams
Effectively manage and develop the team in Asia; act as a senior leader across global team
Awareness of industry and competitors and impact of both on business
Contributes to setting and driving the strategic direction for the department
Builds cohesive, winning teams through strong communication and involvement of all team members
Self-directed Executive who doesn't just take orders, with strong influencing skills
Anticipates and resolves both customer and general issues with a sense of urgency
Process- and controls-oriented leader, maintains a strong system of internal governance and controls
Makes sound decisions in the best interest of the firm according to risk management practices and policies
Required Technical Qualifications and experience
Significant experience in a data analytics role
Experience in managing people
MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with significant experience in highly quantitative position
Must have hands-on experience analyzing data in a professional setting
Demonstrated ability building analytic strategies and executing large analytic initiatives that drive material business impacts and supports business priorities
Strong ability to develop and debug in Python or similar professional programming language
Ideally, some experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas ,statsmodels)
Must be able to undertake basic and advanced EDA, may require some direction from more senior team; should be aware of limitation and implication of methodology choices
Experience with natural language processing (NLP) preferable
Experience with big-data technologies such as Hadoop, Spark, SparkML, or similar
Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model's performance which are aligned with business goals
Must be able to independently research and propose alternatives with some guidance as to problem relevance