Vice President Data Scientist

Quantitative Research - Sales Data Scientist - Vice President Join to apply for the Quantitative Research - Sales Data Scientist - Vice President role at JPMorganChase
Quantitative Research - Sales Data Scientist - Vice President
Join to apply for the Quantitative Research - Sales Data Scientist - Vice President role at JPMorganChase
Sales Quantitative Research team is looking for a highly-talented Vice President Data Scientist based out of our London office. If you are keen to join a growing global team of exceptional quants, where professional growth and learning are encouraged, you may be the perfect fit for our team.
Sales Quantitative Research team is looking for a highly-talented Vice President Data Scientist based out of our London office. If you are keen to join a growing global team of exceptional quants, where professional growth and learning are encouraged, you may be the perfect fit for our team.
As a Vice President for the Quantitative Research Data Science team, you will work on the trading floor in London. You will partner with Markets Sales to uncover actionable insights from data, driving business growth. In this dynamic team environment, your curiosity, exceptional analytical skills, and ability to rapidly deliver production-quality Python code will help you thrive.
Collaborate closely with Markets Sales to build algorithms and workflows that enhance client service.
Proactively identify opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business.
Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques.
Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization.
3+ years of post-graduate professional experience.
~ Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.).
~ Demonstrated experience applying AI/ML techniques, preferably in the financial industry.
~ Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources.
~ 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses.
~ Morgan is a global leader in financial services, providing strategic advice and products to the worlds most prominent corporations, governments, wealthy individuals and institutional investors. 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. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Morgans Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Employment type Full-time

Job function Engineering and Information Technology

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