KeyBank · 4 weeks ago
Equity Research Associate – Alternative Data and Analytics
KeyBanc Capital Markets Inc., a division of KeyCorp, is looking for an Associate to join the Equity Research Alternative Data and Analytics team. The Associate will have the opportunity to work with research teams to create data products around various industries and companies, involving a mix of data engineering and data science.
Banking
Responsibilities
Maintain and oversee critical databases and weekly processing and distribution of datasets
Develop data products and analysis derived from unstructured and structured data
Enable and expand alternative data access for Equity Research groups across various sectors
Create analysis from novel datasets that provide differentiated insight
Manage data product lifecycle including idea generation, engineering, and analytics
Create programs that collect, process, and evaluate data from various sources including internal, 3rd party, and web scraped data
Manage data pipelines from internal and external sources
Analyze and synthesize findings from datasets to identify trends and support the research process
Regularly update and distribute alternative data across Equity Research group
Monitor and understand the quality of underlying datasets collected from multiple sources
Respond to inquiries from internal stakeholders regarding insights and methodology of datasets
Contribute to research process by providing analysis and expertise around various data types including transactional, foot traffic, app use, etc
Source novel datasets and expand current alternative data offering
Perform other duties as assigned, which may evolve over time
Adhere to all KeyBank policies and procedures, including professional conduct, ethical business practices, and prioritizing client interests
Qualification
Required
Bachelor's degree in Computer Science, Information Management, Finance, Accounting, or Economics
Candidate should possess strong skills in Python, SQL, database management, and quantitative analysis
Interest in Capital Markets and fundamental analysis
Proficiency in excel and a strong academic record are required
Candidate should have 1+ years of relevant experience (data science, data engineering, or data analyst) and an interest in research and the stock market
Candidates will be required to complete the FINRA Series SIE, 7, 63, 86, 87 licenses
Strong communications and interpersonal skills
Strong analytical and problem-solving abilities
Strong excel and data manipulation skills
Collaboration: Demonstrates experience in participating in productive collaborative processes that help solve business problems and meet business goals
Critical Thinking: The ability to identify, obtain, and organize relevant data and ideas and prioritize concerns in the decision-making process
Adaptability: Demonstrates a willingness to listen to other opinions and adjusts to new or changing assignments, processes, and people while avoiding snap reactions
Analytical Thinking: Uses logic and intuition to make inferences about the meaning of data and arrives at relevant conclusions; makes a systematic comparison of two or more alternative solutions
Business Acumen: Demonstrates a big picture understanding of the business, its interrelationships, and priorities; demonstrates strong foundations of business fundamentals, measurement, and business finance
Preferred
CFA, CPA, or FINRA Series licenses is a plus
Experience working with GCP/BigQuery, Azure, Postgres, or SQL Server is a plus
Company
KeyBank
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Funding
Current Stage
Late StageLeadership Team
Recent News
2023-08-28
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