Investor Relations AI Research Contributor
Aptura · India
Infrastructureremote
At a glance
Highlights
- Build realistic results decks and board packs to stress-test AI performance.
- Turn quarterly reporting cycles into PowerPoint tasks with clear answers.
- Design yes-or-no checklists so an AI grader can score deck attempts.
Ideal candidate
IR or FP&A professional who owns the quarterly results cycle and obsesses over precise decks. Hands-on, detail-driven, and curious about where AI helps or fails in real finance work.
Requirements
- 3+ years in investor relations, FP&A or financial reporting at a listed company or large corporate
- Deep hands-on PowerPoint: native charts, tables and corporate templates
- Ability to define what a correct deck looks like precisely enough for someone else to grade against it
- Clear writing; tasks must be written by you, not by AI tools
- Attention to detail, and willingness to learn concepts in AI and data
- remote policy
- Remote — India
- hiring process
- Apply with details and CV, verify email and book a 30-minute group walkthrough call, attend walkthrough and enter host code to unlock workspace, then submit one original task with input files and rubric for screening and team 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