Quantitative Modeling Analyst Jobs in Ohio (NOW HIRING)

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 Commercial and Consumer Credit Risk, Market Risk/Treasury/Liquidity, 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 modeling approaches and validating 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 escalate
  • 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
  • Identify and employ best practices in implementation

EXPECTED COMPETENCIES

• Leadership: Emerging leader across team; Role model to others - may coach and develop; Provides direction/mentorship to junior staff
• Partnering / Influencing: 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
• Business Acumen: 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
• Critical Thinking / Problem Solving: 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
• Communication: 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