As a client-focused data scientist with advanced technology skills you will engage in statistical analysis and software development for the benefit of internal and external clients. You will design and build big data solutions using modern data science tools and workflows while collaborating with both the product development and technical teams to provide technical designs as well data science expertise for our clients.
In this role you will:
Lead technical discussions with customers, vendor partners, and colleagues from various departments such as Technology, Quant Research & Product Development
Effectively communicate advanced statistical and technical concepts to various audiences
Be an expert demonstrating advanced data science workflows and technologies for financial markets use cases
Confidently make recommendations regarding data science and big data workflows to customers and partners
Develop examples, applications and tools including tutorials, reference implementations, SDKs and presentations that will be used by data science practitioners as well as decision makers
Provide feedback to product, quant, and engineering teams to help shape product development and strategy
Balance multiple tasks, client engagements and continuous learning to keep up with academic trends
Core Required Skills
Understanding of a wide range of statistical models (e.g. regression, tree-based methods, artificial neural networks)
Good programming skills in at least one of the commonly used languages for data analysis (e.g., Python, R, MATLAB, Scala).
Experience with applying data science/quantitative modeling to real world, financial use cases
Knowledge of open source data analysis tools and machine learning libraries
Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience
Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required
Passion and motivation for constant learning
Additional skills preferred
Master's degree or Ph.D. in a quantitative discipline
Knowledge of cloud data science and machine learning services
Experience with tools for large scale and distributed data analysis (e.g., Spark)
Understanding of capital markets, corporate finance, banking and/or asset management
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
About the Team
Our Corporate & Investment Bank relies on innovators like you to build and maintain the technology that helps us safely service the world's important corporations, governments and institutions. You'll develop solutions that help the bank provide strategic advice, raise capital, manage risk, and extend liquidity in markets spanning over 100 countries around the world.