Prediction Markets Quant Engineer: Real-Time Forecasting

G 20 Advisors Ag; Zürich; Vor Ort; CHF 180.000 - 320.000; Vollzeit

Zusammenfassung

G-20 Group in Zürich is seeking a Prediction Markets Quant Engineer to design models estimating event probabilities and translate research into robust trading infrastructure for event contracts across venues.

You will build data pipelines, pricing frameworks, risk controls, and production systems, combining time-series, NLP signals, and market data. Collaboration with trading, risk, and engineering teams is essential.

Qualifikationen

• Degree in Quantitative Finance, Mathematics, Computer Science, or Statistics.
• Strong engineering skills with Python (required); 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 metrics (log loss, Brier).
• Familiarity with trading concepts: expected value, position sizing, risk budgeting, 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 in a startup-like environment.

Aufgaben

• Develop probabilistic models to forecast outcomes of real-world events (elections, macro releases, sports, policy decisions).
• Combine signals (time series, text/news, market data, polling) into calibrated probability estimates.
• Build pricing and edge frameworks: fair value, uncertainty bands, and model drift diagnostics.
• Design evaluation methods with proper scoring rules and back-tests with realistic costs.
• Identify and exploit mis-pricings across contracts/venues; design cross-market strategies.
• Build data pipelines and real-time services for market and external data.
• Implement execution tooling, monitoring, and automated safeguards.
• Create dashboards/alerts for performance, exposure, and model health.
• Ensure reproducibility: experiment tracking, model registry, CI/CD, robust testing.
• Collaborate with trading, risk, and governance stakeholders.

Kenntnisse

Python

SQL

Pandas/NumPy/ SciPy

PyTorch/scikit-learn

Airflow

Kafka

PostgreSQL

BigQuery

Docker

Kubernetes

CI/CD

GitHub Actions

Prometheus

Grafana

OpenTelemetry

Ausbildung

Quantitative Finance

Mathematics

Computer Science

Statistics

Tools

Airflow

Kafka

PostgreSQL

BigQuery

Docker

Kubernetes

CI/CD

GitHub Actions

Prometheus

Grafana

OpenTelemetry

Jobbeschreibung

G-20 Group in Zürich is seeking a Prediction Markets Quant Engineer to design models estimating event probabilities and translate research into robust trading infrastructure for event contracts across venues.

You will build data pipelines, pricing frameworks, risk controls, and production systems, combining time-series, NLP signals, and market data. Collaboration with trading, risk, and engineering teams is essential.