Prediction Market Quant Engineer - End-to-End Forecasting

G-20 Strategies AG; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Innovative work environment

Dynamic team culture

Job summary

A leading financial market firm is hiring a Prediction Market Quant Engineer in New York. This role involves building research and trading infrastructure, developing probabilistic models, and collaborating with trading stakeholders. Ideal candidates will have a degree in a quantitative field, strong engineering skills in Python, and experience in financial markets. Join our team to innovate and excel in the sector.

Qualifications

• Strong engineering skills with Python and experience in production systems.
• Solid foundation in statistics, probability, and machine learning.
• Ability to communicate model assumptions and limitations clearly.

Responsibilities

• Develop probabilistic models to forecast real-world event outcomes.
• Build data pipelines and real-time services for market data ingestion.
• Work closely with trading/risk stakeholders for controlled deployment.

Skills

Python

Statistical analysis

Machine learning

Risk assessment

Education

Degree in Quantitative Finance, Mathematics, Computer Science, or Statistics

Tools

SQL

Docker

Kubernetes

Kafka

Job description

A leading financial market firm is hiring a Prediction Market Quant Engineer in New York. This role involves building research and trading infrastructure, developing probabilistic models, and collaborating with trading stakeholders. Ideal candidates will have a degree in a quantitative field, strong engineering skills in Python, and experience in financial markets. Join our team to innovate and excel in the sector.