Quantitative Analytics Development Program

2027 Quantitative Analytics Development Program

• Intern
• Compensation: USD 25.5 - USD 35 - hourly

The RRS Group, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties.

Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability.

For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate.

• Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships.
• Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Our care shows itself in our commitment to “safety first” in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources.
• Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Our collective contributions are greater than our skills. We will be transparent and understand each other’s expertise to provide the most value when delivering our services to one another and our clients.
• Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways. We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve.

If you share these core values, we have the right opportunity for you

The Quantitative Analytics Development Program Internship is designed for highly motivated students interested in applying analytical, statistical, and quantitative techniques to solve complex business challenges. Interns will gain hands‑on experience working with data, developing analytical models, and supporting strategic decision-making within a dynamic corporate environment.

• Analyze large datasets to identify trends, patterns, and business insights.
• Support the development and validation of quantitative models.
• Perform statistical analysis and data visualization.
• Collaborate with cross-functional teams to solve business problems.
• Assist in preparing reports, dashboards, and presentations for stakeholders.
• Participate in project work related to risk management, forecasting, optimization, or business intelligence.
• Present findings and recommendations to leadership and project teams.

• Currently pursuing a Bachelor's or Master's degree in:
  • Mathematics
  • Statistics
  • Data Science
  • Economics
  • Finance
  • Computer Science
  • Engineering
  • Related quantitative field
• Minimum cumulative GPA of 3.0 required.
• Strong analytical and problem‑solving skills.
• Experience with Excel, SQL, Python, R, SAS, or other analytical tools is preferred.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a team environment.

• Statistical modeling and data analysis.
• Data visualization tools such as Tableau or Power BI.
• Programming experience in Python or R.
• Knowledge…