Transaction Advisory AI Research Contributor
Aptura · India
Infrastructureremote
At a glance
Highlights
- Turn real data rooms and market data into decks that test AI advisory work.
- Build PowerPoint tasks from source docs, templates and precise edits.
- Help reveal where AI helps or falls short in professional finance work.
Ideal candidate
Former Big 4 deal advisory or strategy consultant who lives in PowerPoint and cares about decision-grade decks. Detail-obsessed, curious about AI's limits, and motivated to turn real deal work into rigorous tests.
Requirements
- 2+ years in transaction services, valuations, commercial due diligence or strategy consulting
- Deep hands-on PowerPoint with native charts, tables and corporate templates
- Ability to define what a correct deck looks like precisely enough to grade
- Clear writing with original human-authored tasks and materials only, no AI tools
- Attention to detail and willingness to learn AI and data concepts
- remote policy
- fully remote
- hiring process
- Apply with details and CV, verify email and book a 30-minute group walkthrough, attend to unlock workspace, then create and submit one original 45-minute task with inputs and rubric for screening and review.
Lab profile
About Aptura
Builds evaluation datasets and RL environments to make AI reliable in finance, healthcare, and legal.
What they build
- Evaluation datasets for regulated domains
- RL environments for high-stakes tasks
- Expert-curated training data and calibrated rubrics
Known for
- Research partner to Anthropic, OpenAI, Google DeepMind
- Specialization in finance, healthcare, and legal
- Clinician expert network for medical oversight
Key facts
- Based in London
- Small, lean team
Posted · Last seen