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Chase · 1 month ago

Quantitative Analytics Associate Senior - Collections and Recovery

300 N King St, Wilmington, DE, 19801, US

Full-time

Hybrid

Mid, Senior Level

4+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Quantitative Analytics Associate Senior, you will support data-driven decisions in the Collections and Recovery team, leveraging data governance, predictive analytics, and machine learning to enhance performance and manage operational expenses.

BankingFinancial Services

No H1B

Responsibilities

Demonstrate robust data programming and analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy

Monitor internal and external trends (customer/industry) and understand business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights

Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience

Address issues with forward-looking solutions and collaborate across functions (Ops, Risk, Finance, Legal, Compliance, and Technology) to support design, testing and implementation of strategies to optimize return on investment and mitigate risks, amidst continuous change in an agile and demanding work environment

Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action

Become a subject matter expert and trusted partner to influence business direction and support operational success

Qualification

Predictive modelingMachine learningData analysisProgramming languagesStatisticsFinanceData visualizationCommunicationCollaborationProblem-solvingContinuous learning

Required

Possess intermediate to advanced knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques

Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field with 4+ years of applied analytical experience, and/or Master's/MBA degree with 2+ years of applied analytical experience in complex and large data environments

Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights

Utilize logical reasoning and data analysis to solve problems and simplify complex techniques into actionable information using a variety of visual elements to inform and facilitate decision-making

Focus on results, continuous learning and process improvements to accelerate business objectives

Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals

Develop knowledge of products and services and understand roles within the business to support maximizing results

Proactive management of performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free

Build and maintain positive relationships with clients and stakeholders, addressing their needs and interests effectively

Be an effective and clear communicator of risk-related issues, strategies and results with a variety of business partners

Willing to learn from experience, view challenges as opportunities, motivated by business and technical challenges and demonstrate openness to feedback for continuous improvement and be a positive culture carrier, curious and creative; collaborative, team-oriented, and client-focused