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?”.
Requirements
- 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
- SQL/NoSQL: Relationship data structure
- SQL/NoSQL: Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- SQL/NoSQL: Databases
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
Other
- 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
- 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
