Senior Quant Analytics Lead – Business Banking Sales

Aumni; Columbus (OH); Sur place; USD 100 000 - 150 000; Plein temps

Résumé du poste

Aumni is seeking a Quantitative Analytics Senior Associate to support sales strategy through analytical exploration, reporting, forecasting, and portfolio performance analysis. The role emphasizes reliable controls, data-driven decision making, and proactive communication with internal clients to translate insights into practical actions.

Responsibilities include building models, dashboards, and KPIs, collaborating with cross-functional partners, and delivering timely insights while maintaining

Qualifications

• Advanced degree with several years of analytics experience in data-driven environments.
• Strong ability to translate complex analyses into actionable business insights.
• Proficiency with Python, R or SAS and SQL for data extraction and modeling.

Responsabilités

• Develop predictive modeling, clustering, ML, forecasting and visualization from large datasets.
• Integrate data from multiple sources to inform strategies and decisions.
• Identify anomalies, validate inputs, and surface opportunities tied to processes.
• Design dashboards and KPIs to monitor performance and outcomes.
• Collaborate with stakeholders to set quantifiable goals and experiments.
• Communicate complex results clearly to diverse audiences.
• Partner with cross-functional teams to drive analytics and execution.
• Build strong internal client relationships through proactive communication.

Connaissances

Communication of findings

Python/R/SAS

SQL proficiency

Analytical problem-solving

Formation

Master’s or PhD in related field

Bachelor’s with 5 years experience

Outils

Snowflake

AWS/Databricks

Tableau

Alteryx

Description du poste

Aumni is seeking a Quantitative Analytics Senior Associate to support sales strategy through analytical exploration, reporting, forecasting, and portfolio performance analysis. The role emphasizes reliable controls, data-driven decision making, and proactive communication with internal clients to translate insights into practical actions.

Responsibilities include building models, dashboards, and KPIs, collaborating with cross-functional partners, and delivering timely insights while maintaining