Product Software Engineering - Quantitative Modeling

Responsibilities

• Work with product team to define new features
• Define implementation strategies, and work with others to implement them
• Deliver defined features with a user oriented mindset
• Leverage the expertise of other team members effectively
• Write design documents for more complex problems
• Write clean and performant code
• Help other team members to deliver on their goals
• Required mindset
• A builder at heart: You're passionate about building things, solving complex problems, and approaching challenges with an entrepreneurial spirit and humility. Your sharp sense of prioritisation gives you a laser focus on delivering results that uplift the entire team, moving us closer to our goal.
• Results-driven: You thrive when taking full ownership of tasks, seeing them through from start to finish, and taking accountability for the results. You're proactive, resourceful, and avoid over-complication - anticipating problems, even in complex, uncertain environments.
• Growth mindset: You are intellectually curious, have a critical mind, and seek opportunities to stretch your abilities. You explore the state-of-the-art, you dig deep to truly understand a problem, and question assumptions.
• Approaching problems and tasks like a project manager:
• You can take a given goal and break it down into smaller parts.
• You can solve problems systematically, by yourself as well as collaboratively with others.
• You involve others in effective problem-solving sessions because you value getting to the best solution over being right.
• You document processes well to ensure others can jump in to collaborate effectively.
• Want to know more?
• On our website you can find more about our team and work culture, as well as example tasks that share some insight into the type of things team members are working on.
• What we do: https://planting.space/
• Ways of work: https://planting.space/org/
• Team culture and example tasks: https://planting.space/joinus/
• Our team works fully remotely, and mostly within the CET timezone.

Benefits

Additional Information

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 are looking for Product Software Engineers with experience in the commercialization of research software . You will contribute to the productization of our system, by developing use-case demos that clearly demonstrate its strengths and unique value. Tasks will focus on implementing applications from quantitative domains (financial analysis, physics simulation) within the framework of our system, identifying the unique strengths of our system and developing showcase demos. You will also contribute to, identifying limitations, closing gaps and helping improve the product based on these insights. Useful experience Experience in turning research software into product Applied mathematical modeling in finance and/or scientific applications Experience in a collaborative, commercial software engineering environment, working on large codebases and using practices like CI/CD, testing, and code reviews Strong foundation in computer science algorithms and data structures Julia, or usage of some more functional or typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell Profiling and performance optimisation Mathematics, Computer Science, or Statistics advanced degree

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Company Intel

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