layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Prediction Markets Quantitative Engineer at G-20 Group | LAYIQ

Degree in Quantitative Finance, Mathematics, Computer Science, Statistics, or a related quantitative field.
Strong engineering skills with Python (required); experience with production systems and data engineering.
Solid foundation in statistics, probability, and machine learning (calibration, uncertainty, causal pitfalls, time-series).
Experience building backtests and evaluating predictive models with appropriate metrics (e.g., log loss/Brier, calibration).
Familiarity with trading concepts: expected value, position sizing, risk budgeting, correlation, liquidity constraints.
Ability to communicate clearly about model assumptions, limitations, and risk.
Some schedule flexibility may be required around major event windows
Self-motivated, detail-oriented, and comfortable working in a dynamic, startup-like environment.
Preferred / Desirable Experience
Prior work in forecasting, sports analytics, political modeling, event-driven trading, or market-making/liquidity modeling.
Experience with NLP for news/social/media signals; knowledge graphs or information retrieval for event resolution.
Knowledge of prediction market mechanics (order books vs AMMs, fee structures, market manipulation/anti-manipulation signals).
Proficiency with SQL; experience with streaming systems (Kafka), workflow orchestration (Airflow), and cloud (AWS/GCP/Azure).
Experience with Bayesian methods, probabilistic programming (Stan/PyMC), or ensemble methods.
Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance.
Tech Stack
Python, SQL, pandas/numpy/scipy, PyTorch/sklearn
Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery
Docker, Kubernetes (optional), CI/CD (GitHub Actions)
Observability: Prometheus/Grafana, OpenTelemetry (or equivalents)
Locations and Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply.
Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Prediction Markets Quantitative Engineer

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