Quantitative Analytics Manager

In this role you will be a strategic contributor on a wide variety of channel-related activities including building business cases, monitoring performance (expense vs.

recoveries), implementing and testing strategies, conducting exploratory analysis, adopting and publishing performance metrics/dashboards and crafting data stories/presentations of key findings to stakeholders.

As a Quant Analytics Manager in the Collections Operations Analytics and Strategy Execution organization, you will lead end-to-end portfolio analytics for one or multiple multi-million recovery channel, creating the opportunity for advanced knowledge specialization as well as significant exposure to broader department activities.

Job Responsibilities:


* Be a subject matter expert and trusted partner to our customers to formulate quantifiable goals, generate timely insights, communicate compelling business narratives and advise on strategies with experimentation to support ongoing process/product/channel improvement


* Demonstrate strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy


* Prepare and deliver business narratives and presentations summarizing sharp insights and conclusions


* Understand drivers, underlying data and core business processes to lead strategic direction with independent and thoughtful analytics managing channel performance, addressing complex issues and generating forward looking solutions


* Collaborate across functions (data management, risk strategy and other analytics resources) to implement best practices and explore new data sources to support critical strategies


* Have the opportunity to coach and manage senior analysts through a matrix environment (dotted-line)

Required Qualifications, Capabilities and Skills:


* Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance (or equivalent quantitative field) with 5 plus years of applied analytical experience in complex and large data environment minimum or Masters/MBA degree with 3 plus years of applied analytical experience


* Advanced knowledge in statistics, finance, analytics and predictive modeling


* Advanced programming language (SQL, SAS, R, Python, Alteryx), relational database (Oracle/Teradata) and visualization tool (Tableau) skills to create/manage/analyze complex and large data sets


* Monitor internal and external customer/industry trends; act as a cross-functional lead providing critical insights and communicating results effectively to non-analytical teams


* Act with sense of urgency, be proactive and result driven with strong attention to detail


* Set high standards for self; accountable to deliver commitments on time and with high-quality


* Build strong understanding of the business, actively seek input to anticipate needs and work to meet and exceed them, provide regular reporting to s...