Quant Analytics Sr Assoc

KeyBank • Brooklyn, OH

14h • $96,000 - $181,000 • Hybrid

About The Position

The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and 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 and involve model building / maintenance and “connecting the dots” between analyses, conclusions, partner needs, and/or strategy. Success factors include: designing advanced modeling approaches and developing / modifying existing models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model development 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.

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
• Relationship data structure
• Selecting and retrieving data including unstructured data retrieval, archival, and ETL
• Databases
• Advanced Python/R/SAS
• Efficient coding
• Can build strong code controls and translate code into high-level commentary
• Understanding of and ability to leverage cloud-based computing
• Understanding of and ability to leverage distributed computing
• 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 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
• Emerging leader across team; Role model to others – may coach and develop; Provides direction/mentorship to junior staff
• Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with partners in the business, technology, etc.; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders
• Understands assigned LOB strategy; Knows our competition and industry; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Aware of the competitive environment
• Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
• Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story

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

Benefits

• Base salary in the range of $96,000.00 - $181,000.00 annually
• Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives
• Access to a list of benefits for which this position is eligible

What This Job Offers

• Job Type: Full-time
• Career Level: Senior