Data Science Associate-Investment Solutions
Data Science Associate-Investment Solutions
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Job Description
Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!
As a Data Science Associate on the Solutions and Advice Data Science Team for US Wealth Management (USWM) your ability to blend cross-functional knowledge in financial products markets statistics and advanced analytics will be a key to your success. Youll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business.
Job Responsibilities:
- Analyze client advisor and macro-behavioral trends as it relates to financial products and solutions that are offered on JPMorgans USWM platform (e.g. managed solutions mutual funds ETFs banking and lending).
- Provide analytical support for regulatory matters.
- Analyze financial flow data to inform strategic decision making including forming investigating and researching hypotheses as well as deep-dives into competitors strategic positioning.
- Use a variety of data tools and technologies including industry-standard and open-source platforms to assemble organize and analyze data including Python R and SQL.
- Apply statistical causal inference and machine learning modeling methods and techniques including clustering algorithms tree-based models matching methods and time-series anomaly detection.
- Present findings to key stakeholders including senior leaders across Solutions & Advice Finance Legal and Data and Analytics.
Required qualifications capabilities and skills:
- 1 years of experience working in an analytical data science finance or management/economic consulting role
- BS Degree in a related field such as Mathematics Statistics Engineering Computer Science Finance Economics or other applicable STEM discipline
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business
- Strong storytelling capabilities
- Aptitude for learning new theory and new technology
Preferred qualifications capabilities and skills:
- Masters Degree or PhD
- Knowledge or demonstrable interest in financial securities and markets
- Practical understanding of advanced statistics econometrics and / or machine learning
- Practical understanding of financial modeling and economics
- Knowledge or demonstrable experience in Python SQL and /or R
Required Experience:
IC
Employment Type
Full-Time
