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Research Platform Engineer in quantitative trading

ориентир по рынку
вакансия зп не указана
в среднем 328 556 ₽
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описание

The company is building a research lab and proprietary investment fund focused on systematic financial market forecasting. Its platform connects quantitative research with production trading and supports increasingly autonomous research through modern systems, new hardware paradigms, and frontier AI.

задачи

  • Design and build the research platform from scratch, defining its architecture and core abstractions;
  • Build a seamless path from research to production with reproducible environments and deployment workflows;
  • Define contracts between research and production, including APIs, artifact formats, data contracts, and promotion gates;
  • Build a unified data layer for integrating and consuming new market and alternative data sources;
  • Develop backtesting and simulation infrastructure, including methods to measure deviation between backtested and live results;
  • Design programmatic, deterministic, self-describing, and machine-readable platform interfaces for researchers and AI agents;
  • Work directly with researchers to identify bottlenecks and turn them into platform capabilities;
  • Make pragmatic build-vs-buy decisions and optimize the platform for research velocity, reliability, and adoption.

требования

  • Experience building developer platforms, internal tooling, research infrastructure, or systems used by other engineers;
  • Strong systems programming skills in Go and/or Rust;
  • Deep understanding of concurrency, memory, runtimes, and performance;
  • Experience designing complex systems from scratch with clear abstractions and interfaces;
  • Experience with data and distributed systems;
  • Experience working directly with internal users and translating workflow bottlenecks into technical solutions;
  • Strong judgment around correctness, reproducibility, and build-vs-buy decisions;
  • Ability to design systems for programmatic consumers with deterministic behavior and machine-readable outputs;
  • Nice to have: Kafka, Postgres, ClickHouse, agentic systems, quantitative research, financial markets.

условия

  • Relocation support is possible for Amsterdam.

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