Technology and Data Analytics Analyst

Greystone Monticello LLC (together with its affiliates, “Greystone Monticello”) is a leading real estate lender and asset manager providing comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Greystone Monticello is seeking leaders and team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic.

We are looking for a Technology and Data Analytics Analyst for our New York City office to support the Head of Technology and Data Analytics, investment management teams such as originations, underwriting and asset management as well as finance, accounting, compliance, investor relations, and human resources.

The Data Analytics and Technology Analyst’s primary responsibilities are:

• Proactively analyze investment related data to answer key questions from internal and external stakeholders including executive management, investment team members, and investors
• Develop custom investment related models & analysis reports across healthcare and multi-family real estate debt and equity for ongoing reporting and ad-hoc projects
• Perform qualitative and quantitative research on public and proprietary data sets to develop insights, create presentations, and make actionable business recommendations
• Evaluate individual investment and portfolio performance across asset class, geography, and other segmentations to identify key trends
• Find, explore, and integrate new data sets from vendors and public sources while maintaining high standard for data integrity and normalization
• Establish and execute procedures and controls for gathering data while also ensuring the excellence and reliability of imported data through quality control and quality assurance measures.
• Break complex processes down into their individual components and identify areas where data and technology can increase efficiencies, effectiveness, and scalability
• Assist with the implementation large data assimilation projects, such as portfolio data transfers
• Sustain and oversee the data management systems critical to the firm's success.
• Process confidential data and information according to internal guidelines

Job Requirements:

• Bachelor’s Degree
• Finance, accounting, credit, legal, real estate and/or business background
• Established organizational skills and ability to simultaneously handle multiple projects
• Extensive technical skills including, iLevel, Power BI, Tableau, SQL, Python
• Experience sourcing and analyzing data through APIs, data scraping, and database querying
• Ability to quickly learn new tools and technologies
• Experience implementing and optimizing workflow management tools like Monday.com or JIRA preferred but not required
• Interest in financing healthcare, senior housing, multi-family housing and/or renewable energy preferred
• Effective oral and written communication and interpersonal skills to liaise with borrowers, financing counterparties, and other external parties
• Advanced financial analytical proficiency along with the ability to “see the big picture”
• Strong grasp of logic and data analytics
• Passion for the firm and passion for what we do
• Intellectual curiosity and a desire to understand the purpose behind their work

At Greystone Monticello, we believe that finding creative solutions for our clients comes from the collaboration of people with diverse backgrounds and perspectives. We strive to build an inclusive work environment that celebrates differences and empowers all individuals with opportunities to channel their entrepreneurial spirit. Greystone Monticello is an EEO employer.

Greystone Monticello offers a competitive base salary and bonus. The base salary range for this position is $80,000-$100,000/year. The specific compensation that will be offered is based on an understanding of the hired candidates' qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.