Quantitative Analytics Manager (Recovery Analytics and Execution)
Wilmington, DE, United States
JPMorgan Chase & Co.
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.
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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