Location: Columbus, OH, United States

Use your analytical skills to drive the alternative lending products and serve customers better.

As a Quant Analytics Senior Associate in the Alternative Lending analytics Team, you will be responsible for working across alternative lending stakeholders and partners to drive customer engagement and product performance by defining metrics, sourcing data, developing queries, and creating reports. You’ll combine analytic skills with specific domain knowledge to make data actionable allowing for ease of consumption.  You’ll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning.  You’ll use exceptional quantitative analytic & problem-solving skills, superior communication skills, and sound judgment to effectively work in a fast pace and dynamic environment. 

Job responsibilities 

• Participate in strategic projects and provide ideas and inputs on ways to leverage quantitative analytics to generate actionable business insights and/or solutions to influence business strategies and identify opportunities to grow 
• Complete complex analytical projects end to end with limited guidance and instructions, from formulating project proposal, performing hands-on data mining and analysis, translating the findings into actionable business solutions, and managing project timeline. 
• Present final results and recommendations to senior leadership and business partners
• Drive experiment design and evaluate campaign effectiveness 
• Set correct expectations and manage priorities to meet commitments
• Collaborate with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction
• Effectively convey analytical findings and recommendations in way that influence and inform stakeholders
• Contribute to a positive and inclusive culture and team environment

Required Qualifications, skills and capabilities

• BS/BA Degree in a relevant quantitative field (e.g. Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science or related field involving significant quantitative research & data analytics)
• 2+ years of industry experience in business analytics roles (e.g., marketing / risk analytics, product analytics, business insights) 
• 2+ years of work experience across broad range of analytics technologies and tools (SAS, SQL, Spark and Python, Unix, Excel Pivot etc.) in a big data environment 
• Financial services experience especially in credit card or mortgage 
• Exceptional communicator who's able to convey complex information in an understandable, compelling, and persuasive manner to technical and non-technical stakeholders
• Ability to identify key drivers, prioritize, be results-oriented, and have a strong attention to detail
• Proficient applying quantitative methods for business analytics
• Adept critical thinker and problem solver 

Preferred qualifications, skills and capabilities

• Advanced degree in a relevant quantitative field

Drive customer engagement and product performance by defining metrics, sourcing data, developing queries, and creating reports.