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Senior Quantitative Analytics Associate
Company | KeyBank |
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Location | Brooklyn, OH, USA |
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Salary | $126000 – $139000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior |
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Requirements
- Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience
- Working knowledge of different types of data and techniques for managing these data structures
- Ability to assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs
- Ability to link conclusions based on data analysis to business impacts
- Ability to define processes for integrating and repurposing data analyses
- Advanced Microsoft Office Suite
- SQL/NoSQL
- Advanced Python/R/SAS
- Understanding of and ability to leverage cloud-based computing and distributed computing
- Ability to interpret performance and reliability of assumptions; identify when to escalate
- Ability to leverage and lead the design of advanced modeling approaches
- Ability to develop / design standard techniques for data inference and performance perspectives
- Ability to determine use requirements based on business processes
- Ability to identify and employ best practices in implementation
Responsibilities
- Use critical thinking to develop insights and deliver predictive analysis that answers business problems related to ‘what will happen next?’
- Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and algorithms/models
- Identify and anticipate business need; obtain the right information
- Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact
- Navigate model approval process as needed
- Make process improvement suggestions
- Be an emerging leader across the team: Serve as a role model to others; provide input to work product of junior staff; Help others to develop, publish, and customize models
- Identify and employ best practices
Preferred Qualifications
No preferred qualifications provided.