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 stakeholders and executive leaders Create a vision, effectively manage multiple priorities and execute against a roadmap with a focus on results and continuous improvements Well-organized, follow logical and structured approach to support complex deliverables under tight timelines while managing multiple priorities at a given time. Proven problem-solving skills Effective and clear communicator with all levels of management and a variety of business partners Positive culture carrier with strong leadership. 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, etc. based on business priorities This role is not eligible for visa sponsorship. Schedule Monday thru Friday 8:00am to 5:00pm Depending on the location, the position follows a 5-day a week in office schedule or is a temporary hybrid position requiring work on site at least 2 days a week but turning 5-days a week in office by the end of 2027. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Equal Opportunity Employer/Disability/Veterans #J-18808-Ljbffr 慨正橡扯