Quantitative Analytics Manager (Recovery Analytics And Execution)

JobID: 210529866

Category: Quant Analytics

JobSchedule: Full time

Posted Date: 2024-06-28T21:47:18+00:00

JobShift: Day

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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 Quant Analytics Manager in the Recovery and Business 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:

• 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

• 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

• 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 does not offer visa sponsorship.

Schedule:

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.