Account Executive – Enterprise (Asset Management)
Auquan Ltd
Account Executive – Enterprise (Asset Management)
Auquan Ltd
AI-driven financial insights from unstructured data
ALFA develops autonomous AI agents that eliminate the repetitive, manual work slowing down financial institutions. Our technology supports credit, investment, ESG, and compliance workflows for leading firms including Goldman Sachs, UBS, CVC, and MetLife. Today, 40% of the world’s top 50 financial institutions use ALFA to remove manual processes, speed up decision-making, and achieve greater strategic impact.
With teams growing across the US, UK, and India, we’re building an elite force of innovators ready to redefine what’s possible with AI and machine learning.What we offer
We are an office-first company and expect regular in-person collaboration as part of this role. You should also be comfortable collaborating across time zones (US, UK, India).We offer a competitive package designed to support you both inside and outside of work:
Base Salary: $150,000 - $200,000 for New York. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
Equity: Meaningful stock options so you share in our growth
Time Off: Flexible PTO
Health & Wellbeing: Comprehensive health coverage (US)
Retirement: 401(k) options depending on jurisdiction
AI-driven financial insights from unstructured data
Auquan provides AI-powered intelligence for financial services, focusing on private equity and ESG. Its Intelligence Engine searches unstructured data and uses retrieval-augmented generation to produce concise, real-time summaries and risk signals as an insights-as-a-service platform, with revenue from subscriptions and service fees. The system is tailored to finance, emphasizing ESG, reputational, and regulatory risks to deliver actionable insights rather than generic outputs. Its goal is to help financial firms make faster, more informed investment decisions while reducing downside risk.
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