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hackajob · 8 hours ago

Cash and Check Management Team - Quant Analytics Senior Associate

Columbus, OH

Full-time

Onsite

Mid, Senior Level

4+ years exp

Hackajob is collaborating with J.P. Morgan to connect exceptional tech professionals for the role of Quant Analytics Senior Associate. In this position, you will lead the analytics initiatives within the Cash and Check Management Analytics team, utilizing your analytical expertise to drive strategic decisions and optimize operational efficiency through data analysis and collaboration with cross-functional teams.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making

Import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling and scope, implement, and track new features and enhancements within the collections journey to optimize customer experience and operational efficiency

Identify customer interactions and events across various channels to gain a deeper understanding of customer journeys and pinpoint friction points

Utilize a range of analytical and statistical tools—including Alteryx, Excel, SQL, Python, and Tableau—to analyze and interpret trends and patterns in complex data sets and support the creation and delivery of presentations that summarize key insights and actionable conclusions, often tailored for executive audiences

Collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks and lead cross-functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions

Champion the use of advanced analytics techniques, such as machine learning and predictive modeling, to uncover deeper insights and drive innovation and establish and monitor key performance indicators (KPIs) to measure the effectiveness of analytics initiatives and inform ongoing strategy

Qualification

Data modelingData analysisAlteryxTableauSQLPythonMachine learningPredictive modelingAnalytical rigorCommunication skills

Required

Bachelor's degree required, with a strong academic background and at least 4 years of experience building analytical solutions that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance

Demonstrated technical expertise in data modeling, data analysis, and segmentation techniques

Proficient in Business Intelligence and analytical tools such as Alteryx and Tableau

Self-sufficient in querying and extracting data from enterprise databases and data lakes, including platforms such as Snowflake, GOS, and AWS Athena

Outstanding written and verbal communication skills

Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis