KeyBank
Location
Location:
127 Public Square, Cleveland Ohio
ABOUT THE JOB (JOB BRIEF) The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to validate predictive and machine-learning models for specific business needs at an advanced level. The Senior Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?" Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments (including but not limited to Market Risk/Treasury/Liquidity, Credit Risk, Compliance Risk, Fraud, etc.) and involve model building / maintenance and "connecting the dots" between analyses, conclusions, partner needs, and/or strategy. Success factors include: evaluating advanced models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model validation to deliver predictive analysis to inform business problems; leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team.
ESSENTIAL JOB FUNCTIONS
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
REQUIRED QUALIFICATIONS
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
DATA LITERACY
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
Link conclusions based on data analysis to business impacts
Define processes for integrating and repurposing data analyses
TECHNOLOGY & TECHNIQUES
Advanced Microsoft Office Suite
SQL/NoSQL
Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Databases
Advanced Python/R/SAS
Databases
Efficient coding
Can build strong code controls and translate code into high-level commentary
Understanding of and ability to leverage:
Cloud-based computing
Distributed computing
MODEL VALIDATION
Understands and can leverage:
Optimization techniques and supporting numerical analysis requirements in algorithms / models
Ability to:
Interpret performance and reliability of assumptions; identify when to escape
Leverage and lead the design of advanced modeling approaches
Develop / design standard techniques for data inference and performance perspectives
Determine use requirements based on business processes
#J-18808-Ljbffr
127 Public Square, Cleveland Ohio
ABOUT THE JOB (JOB BRIEF) The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to validate predictive and machine-learning models for specific business needs at an advanced level. The Senior Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?" Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments (including but not limited to Market Risk/Treasury/Liquidity, Credit Risk, Compliance Risk, Fraud, etc.) and involve model building / maintenance and "connecting the dots" between analyses, conclusions, partner needs, and/or strategy. Success factors include: evaluating advanced models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model validation to deliver predictive analysis to inform business problems; leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team.
ESSENTIAL JOB FUNCTIONS
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
REQUIRED QUALIFICATIONS
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
DATA LITERACY
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
Link conclusions based on data analysis to business impacts
Define processes for integrating and repurposing data analyses
TECHNOLOGY & TECHNIQUES
Advanced Microsoft Office Suite
SQL/NoSQL
Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Databases
Advanced Python/R/SAS
Databases
Efficient coding
Can build strong code controls and translate code into high-level commentary
Understanding of and ability to leverage:
Cloud-based computing
Distributed computing
MODEL VALIDATION
Understands and can leverage:
Optimization techniques and supporting numerical analysis requirements in algorithms / models
Ability to:
Interpret performance and reliability of assumptions; identify when to escape
Leverage and lead the design of advanced modeling approaches
Develop / design standard techniques for data inference and performance perspectives
Determine use requirements based on business processes
#J-18808-Ljbffr