Amherst

HQ
Austin
Total Offices: 3
811 Total Employees

Jobs at Amherst

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Recently posted jobs

An Hour AgoSaved
In-Office
Austin, TX, USA
Real Estate • Software • Financial Services
Owns complex fund- and joint-venture-level financial models for investor distributions, returns, waterfalls, carried interest, preferred returns, and capital accounts. Performs scenario, sensitivity, and period-over-period attribution analyses; reconciles models to actual operating, cash, debt, and investor data; and enforces model governance and quality control. Partners with asset management, investor relations, FP&A, acquisitions, capital markets, and accounting while presenting portfolio performance and strategic insights to senior management and institutional investors.
14 Days AgoSaved
In-Office
Austin, TX, USA
Real Estate • Software • Financial Services
The VP of Portfolio Strategy & Analytics will lead data-driven insights into asset performance, ensuring strategic capital allocation and optimizing portfolio returns. They will collaborate with various departments to enhance decision-making, reporting, and analytics infrastructure.
16 Days AgoSaved
In-Office
Austin, TX, USA
Real Estate • Software • Financial Services
The Analyst in Portfolio Management creates financial models, prepares investor presentations, collaborates on initiatives, and provides analysis for strategic decision making in real estate finance.
4 Days AgoSaved
In-Office or Remote
2 Locations
Real Estate • Software • Financial Services
Lead management of complex property, casualty, catastrophe, auto, and workers' compensation claims; oversee TPAs and vendors; evaluate coverage, reserves, and settlements; mentor claims staff; drive process improvements, KPIs, and catastrophe response.
10 Days AgoSaved
Remote
USA
Real Estate • Software • Financial Services
Lead the vision and execution of data product roadmap; translate business needs into epics and acceptance criteria; partner with data engineering and analytics; run agile ceremonies and manage backlog; champion data-as-a-product; scope and pilot AI/ML capabilities; present roadmaps and business cases to leadership.