Senior Statistical Analyst

The Senior Statistical Analyst is an applied statistician who builds and maintains predictive statistical models using a variety of advanced analytic tools, frameworks, and approaches. In addition, this role involves answering a broad array of general business questions through data and logical inference.

Senior Statistical Analysts have the opportunity to influence a wide range of business activities, including designing and implementing operational models across multiple business channels, creating novel consumer segmentation frameworks, asset valuation in the context of both core portfolio purchases and M&A activity, and contributing to our growing industrialized behavioural science program.

This is an exciting opportunity to join a team that partners broadly within the organization and influences the company’s operational, analytic, and financial strategies. Moreover, this role is part of a thriving, pan-European modelling community devoted to using the best elements of applied and theoretical work from statistics, psychology, management science, and behavioural economics to understand the fundamental drivers of consumer financial behaviour.

Future Decision Science team members are likely to show equal curiosity and comfort discussing the trade-offs between different statistical methods, the impact of macroeconomic factors on consumer behaviour, or the fundamental drivers of revenue and cost within a business unit.

KEY RESPONSIBILITIES

• Build new predictive statistical models, maintain existing models, and focus relentlessly on identifying new sources of data
• Provide analytic support to the operational channels including (a) general statistical expertise, (b) project leadership involving complex problem solving, and (c) identifying new opportunities to use predictive modelling in service to revenue and cost targets
• Serve as an analytic coach and/or mentor to peers and junior staff within the Decision Science department and the operational groups
• Research and development activities, including both internal and external research, focused on subprime credit dynamics, financial distress, and a variety of consumer intelligence topics
• Active participation in the department’s Modelling Symposium, which includes discussion of theoretical and methodological papers, peer-review of ongoing projects, topical seminars, and ongoing training focused on effective communications, data visualization, and experimental methods