Quantitative Analytics Associate Senior - Collections and Recovery

Are you passionate about leveraging data to influence direction, mitigate risk and optimize financial outcome? You have found the right team!

As a Quantitative Analytics Associate Senior, in the Collections and Recovery team, you will play a key role supporting data-driven decisions with direct impact to the financial bottom line collaborating with partners and stakeholders to drive operational excellence.

You will leverage data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and industry behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

Job 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.

Required Qualifications, Capabilities, and Skills


* 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 obje...