Finance AI Strategist β€” Deal Intelligence + Stock Options in London

Finance AI Strategist β€” Deal Intelligence + Stock Options in London

London Full-Time 59400 - 72600 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Analyse unstructured data to uncover opportunities and translate insights into product requirements.
  • Company: Grasp, a forward-thinking company in the finance sector.
  • Benefits: Competitive salary, stock options, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to work on live processes.
  • Why this job: Join a dynamic team and make a real impact in private markets.
  • Qualifications: Experience in finance and strong analytical skills required.

The predicted salary is between 59400 - 72600 Β£ per year.

Grasp is seeking a Finance AI Specialist to bring deal expertise into our product and customer work.

You’ll help deal teams in private markets by analyzing unstructured data to uncover opportunities and translate insights into concrete product requirements.

You will collaborate with senior deal professionals to land and grow customers, running trials and co-building tailored workflows on live processes to win deals.

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Finance AI Strategist β€” Deal Intelligence + Stock Options in London employer: grasp-ai.com

Grasp is an exceptional employer that fosters a dynamic and innovative work culture, particularly in the fast-evolving AI sector. Employees benefit from competitive compensation packages, including stock options and progressive commissions, while also enjoying ample opportunities for professional growth and development. Located in the UK, Grasp encourages a collaborative environment where your contributions are valued and impactful from day one.

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Contact Details:

grasp-ai.com Recruitment Team

We think you need these skills to ace Finance AI Strategist β€” Deal Intelligence + Stock Options in London

Deal Expertise
Data Analysis
Unstructured Data Analysis
Product Requirements Translation
Collaboration Skills
Customer Engagement
Trial Management