Quantitative Analyst

At GreenStone Farm Credit Services, we're seeking an individual interested in joining a dynamic team and be a part of a company that values innovation, collaboration and excellence.  Apply now to work with cutting-edge technologies and methodologies and be the driving force behind our data success story! 

 

This position is eligible for a hybrid schedule with a required 3 days in the East Lansing, MI office. 

 

 

Get to know GreenStone 

 

Our $14 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making GreenStone one of the top Farm Credit associations in the country. 

 

Culture  

 

Core Four values steer everything we do at GreenStone. Customer First, Delivery Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules.  

 

What can we offer you?  

 

GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.  

 

GreenStone has an outstanding Total Rewards package, which includes, but is not limited to: 

• 15 vacation days, 12 sick days, and 12 paid holidays per year  

• 401(k) plan – up to a 9% employer contribution/match 

• Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.  

• $150/year Logo Wear allowance  

• $400/year Wellness Subsidy/Reimbursement & wellness programs 

• $6,000 lifetime maximum Student Debt repayment program or tuition reimbursement 

• Yearly bonus/incentive opportunity available to all benefit eligible employees  

 

About the Role 

 

You’ll dive deep into data to uncover trends, optimize models, and deliver insights that empower leadership, managers, and staff. This role is perfect for a problem-solver who thrives on using advanced analytics tools and methods to tell stories with data, ensuring accuracy and integrity every step of the way. 

 

What You’ll Do 

Analytics & Modeling 

• Collaborate with different departments to create, document, and implement quantitative models and analytical tools, primarily targeting credit risk and capital management (including expected credit losses, stress testing, and economic capital) as well as automated credit decision models.

• Analyze large datasets to identify patterns, trends, and anomalies. 
• Explore, evaluate, and implement possible AI and Machine Learning techniques analytics processes.

• Prepare impactful reports and dashboards using tools like Power BI, R Markdown, and Quarto. 

• Ensure models comply with standard Model Risk Management practices and frameworks, as well as evaluating and performing validations for existing models.
• Communicate complex modeling concepts in a clear and concise manner to both technical and non-technical audiences.

 

Data Management 

• Create consistent processes to design, monitor, and maintain electronic databases. 

• Utilize programming languages such as Python, R, or SQL to clean and organize data, ensuring its accuracy and consistency. This involves:
  • Identifying and correcting errors
  • Handling missing values
  • Standardizing data formats
  • Preparing the data for further analysis
• Collaborate with internal and external teams to acquire and integrate relevant data for analytical models and reports. 

 

What You will need to bring 

 

Education: 

• Bachelor’s degree required; Advanced degree preferred. 

• Preferred majors: Data Science, Statistics, Math, Economics, Finance, Accounting, Computer Science, or related fields. 

 

Experience: 

• 5+ years in analytics or database management. 

• Hands-on experience with tools like R, Python, SAS, Databricks and SQL. 

 

Skills: 

• Expertise in data modeling and visualization using Power BI, R Markdown, and Quarto. 

• Strong knowledge of financial and business metrics. 

• Exceptional ability to communicate findings to diverse audiences. 

 

 

GreenStone Farm Credit Services is an equal opportunity employer. It is our policy to provide equal employment opportunity to all persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, or any other characteristic protected by law. We comply with all federal, state and local equal employment opportunity regulations. We conduct all personnel decisions and processes relating to our employees and job applicants in an environment free of discrimination and harassment.