Amherst is revolutionizing the way U.S. real estate is priced, managed and financed in order to unlock opportunities for all market participants. Driven by data, analytics, and technology, Amherst has a 20-year history of anticipating where the next risks and opportunities are likely to emerge and designing actionable strategies for investors to capitalize on opportunities across residential real estate, commercial real estate and public securities. Amherst, along with its affiliates and subsidiaries, has more than 900 employees, $5 billion under management and approximately $15 billion under advisement and oversight. www.amherst.com.
Responsibilities:
Support modeling analytics team through research and production support
Maintain and enhance analytic applications and data structures used for modeling and forecasting
Create and document technical and user processes
Requirements:
MS or Ph.D. degree in a quantitative field; Economics, Statistics, Mathematics, Physics, Operational Research, etc.
Strong quantitative and analytical problem-solving skills and experience working with large datasets
Knowledge and understanding of econometric and statistical techniques
Must be an intellectually curious self-starter and motivated to continually learn, interested in real estate finance
Proactive, hardworking team player with strong communication skills and business intuitions
Pluses:
Knowledge in fixed income, real estate or risk analytics
Hands-on experience with SQL & Python
Experience with BI tools such as Tableau
Our full-time employee benefits include:
Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.