Senior Financial Data Scientist
Senior Financial Data Scientist
The Amherst Group of companies comprise of leading real estate investment and advisory firms with a mission to transform the way real estate is owned, financed and managed. Amherst leverages its proprietary data, analytics, technology, and decades of experience to seek solutions for a fragmented, slow-to-evolve real estate ecosystem and to materially improve the experience for residents, buyers, sellers, communities, and investors. Today Amherst has over 1000 employees and $14.1 billion in assets under management.
Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 46,000 homes across 32 markets in the U.S. The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team. In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending. Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 188,000 residents the firm has served.
Amherst Services Corporation seeks Senior Financial Data Scientist to work at its office in Austin, TX
Job Description:
Develop modern predictive analytics, identify key areas for improvement and optimization to drive insightful business strategies, and improved business performances. Consult with technology department teams to safely deploy the predictive analytics in scalable and controlled environment. Lead the company through modern predictive analytics and identify most impactful areas for research and development in predictive analytics. Apply financial economics and business intelligence tools to address better visualization and transparency of data analytics. Collaborate with data stewards to improve data availability and quality while ensuring compliance with regulatory and security policies.
Qualifications:
Master’s degree in n Computer Science, Data Science, Financial Engineering, Finance, Mathematics, Statistics, Analytics, foreign equivalent or closely related field.
Required skills:
Position requires experience in the following specific skills:
- Machine Learning and Artificial Intelligence (AI);
- Data science toolkit such as SQL or Python (including Pandas, SciPy, Scikit-learn);
- Data visualization tools (e.g., Tableau); and
- Statistical packages (e.g., SAS).
Employer will accept skills gained in pursuit of graduate-level degree via coursework, projects or internships. Skills may be gained concurrently.
Multiple openings.
Our full-time employee benefits include:
A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events
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.