Quant Analytics Manager

Quant Analytics Manager

Requirements

• Master’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; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience
• Understanding of best practices for capturing / retaining data
• Understanding of pros / cons of competing analysis methods
• Experience leading by partnering with others to anticipate and understand needs process/procedures
• Experience leading information practices / policies / procedures
• Experience setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
• Experience promoting increased efficiency of data analysis by advocating clearer data requirements
• Advanced Microsoft Office Suite
• SQL/NoSQL including relationship data structure, selecting and retrieving data including unstructured data retrieval, archival, and ETL, and databases
• Advanced Python/R/SAS including databases, efficient coding, and can build strong code controls and translate code into high-level commentary
• Understanding of and ability to leverage cloud-based computing and distributed computing
• Ability to establish standards and best practices; forecast future modeling tools / techniques
• Ability to identify, employ, and evangelize emerging techniques from industry / research
• Ability to coach others on data modeling methods / techniques
• Ability to facilitate sessions for complex data models
• Ability to assess and understand risks; contingency plans
• Ability to communicate observations to senior executives
• Ability to translate technical observations to a non-technical audience

Responsibilities

• Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions ‘What will happen and what should we do about it?’
• Often responsible for large, complex problems that have broad implications and are less frequent
• Recommend solutions based on understanding of the context, connections, and conclusions
• Reviews deliverables; proactively coaches others on approach and work product
• Lead and evangelize on best practices of capturing and retaining data
• Coordinate with data stewards and anticipate needs process/procedures
• Make continuous improvements to data procedures, including data efficiency
• Recommend best analysis method for the situation

Preferred Qualifications

• Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
• Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
• Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
• Critical thinker: able to anticipate business partner needs; Sees the ‘bigger picture’; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
• Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence