View on Hacker News
Roles
Compensation
Full-time. Quarterly meet-ups. No salary information provided.
- Salary period
- unclear
Benefits
- Quarterly meet-ups
Tech stack
Required
Location
Remote (EU time zone)
Work setup
- Employment
- full-time
- Level
- unclear
- Remote policy
- Remote (EU time zone) + Quarterly Meet-ups
- Remote scope
- timezone-limited
- Timezones
- EU time zone, European time zones
- Travel
- Quarterly travel to enjoyable locations around Europe
- Visa
- unclear
Role details
Responsibilities
- Identify and validate high-value opportunities with engineers
- Shape opportunities into working solutions with engineers
- Take solutions from pilot to production with real users
- Represent domain knowledge as modular probabilistic models and connect models into larger structures
- Enforce consistency across probabilistic models
- Propagate uncertainty through each step of the system
- Design of solutions for complex implementation problems
- Implementation of clean, robust and performant code
- Reasoning about datastructures and algorithms
- Reasoning at high layers of abstraction
- Formally proving results
- Writing without excessive jargon
Requirements
- Expertise in Valuation Models
- Expertise in Quantitative Default-Probability Models
- Expertise in Interest Rate Prediction Models
Application
Find out more, and apply at: https://planting.space/joinus/
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- external
- Canonical URL
- https://planting.space/joinus/
Company context
Make analysis rigorous and transparent by representing domain knowledge as modular probabilistic models with consistency and uncertainty propagation.
- Product
- System representing domain knowledge as modular probabilistic models; applications in finance and scientific research
- Industry
- Finance and scientific research
Description
We’re building a system that represents domain knowledge as modular probabilistic models, making analysis rigorous and transparent. Users can connect these models flexibly into larger structures; the system enforces consistency across them and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics. We’re building out our team in the following areas: Program Lead - Engineering; Product Software Engineering; Product Software Engineering (Quantitative Modeling); Applied Category Theory Research; Bayesian Software Engineering; Program Synthesis Engineering. We’re also looking for Domain Experts to collaborate on high-value use cases—identifying and validating opportunities, shaping them into working solutions with our engineers, and taking them from pilot to production with real users. Practitioners with expertise in Valuation Models, Quantitative Default-Probability Models, or Interest Rate Prediction Models are particularly relevant right now. Find out more, and apply at: https://planting.space/joinus/
Similar jobs
-
Loading similar jobs...