Do you have years of experience in quantitative analytics? 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 Senior Quant Analytics Associate in the Recovery Analytics and Business Execution team, you will collaborate to support 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:

• Demonstrate strong analytical skills to collect, organize, analyze, and disseminate significant amount of information with attention to detail and accuracy
• Understand drivers, underlying data and core business processes to support 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
• Monitor internal and external customer/industry trends, provide critical insights and deliver business narratives and presentations summarizing sharp insights and conclusions 
• Become 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

 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 and/or Masters/MBA degree with 3 plus years of applied analytical experience
• Intermediate to advanced knowledge in statistics, finance, analytics and predictive modeling
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational database (Oracle/Teradata) and visualization tool (Tableau) skills to create/manage/analyze large data sets 
• Act with sense of urgency, be proactive and result driven with attention to detail. Build solid understanding of the business, actively seek input to anticipate needs and work to meet and exceed them
• Well organized, focused on results. Follow logical and structured approach to support deliverables and manage multiple priorities, set high standards for self; accountable to deliver commitments on time and with high-quality with a focus on results and continuous improvements 
• Proven problem-solving skills and effective and clear communicator with a variety of business partners
• Positive culture carrier. Embrace a growth and learning mindset; curious and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenge 

Preferred Qualifications, Capabilities and Skills:

• PhD degree in a quantitative field preferred
• Deliver amidst continuous change in an agile and demanding work environment effectively optimizing delivery of business goals and return on investment
• Monitor trends and develop key partnerships to advise on the use of new approaches, technologies 

This role does not offer visa sponsorship.

Schedule:

Hybrid Monday thru Friday 8:00am to 5:00pm

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.