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Engineering, Applied AI Quant, Associate - Job Opportunity at Goldman Sachs

Hong Kong, Hong Kong
Full-time
Mid-level
Posted: January 15, 2025
On-site
HKD 1,200,000 - 1,800,000 per year (estimated)

Benefits

Comprehensive training and development programs
Global mobility opportunities
Firmwide professional networks
Wellness and mindfulness programs
Personal finance offerings
Competitive benefits package aligned with top-tier financial institutions

Key Responsibilities

Lead development and deployment of AI-driven trading systems with P&L impact
Conduct advanced quantitative research for market making and pricing optimization
Drive innovation in time series forecasting and predictive modeling
Architect scalable ML infrastructure for production trading systems
Collaborate cross-functionally to integrate AI solutions into existing trading platforms

Requirements

Education

Master's or Ph.D. in Quantitative Finance, Mathematics, or Physics

Experience

3-5 years

Required Skills

Quantitative trading expertise Machine learning Statistical modeling Programming (Python/C++) Time series analysis Production system development Cross-functional collaboration
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Sauge AI Market Intelligence

Industry Trends

Increasing adoption of AI in systematic trading Growing demand for real-time ML applications in finance Shift towards cloud-based quant infrastructure Rising importance of interpretable AI models in finance

Salary Evaluation

HKD 1,000,000 - 2,000,000 based on Hong Kong financial sector standards

Role Significance

Typically part of a 5-10 person specialized quant team
Mid to Senior-level position with significant technical ownership

Key Projects

Automated market making systems ML-based pricing engines Real-time risk management models Trading signal generation platforms

Success Factors

Deep understanding of both ML and financial markets Ability to bridge theoretical models with practical trading constraints Strong programming skills with production system experience Excellent stakeholder management abilities

Market Demand

Very High - Critical role in financial technology transformation

Important Skills

Critical Skills

Production ML system development Quantitative trading expertise Statistical modeling Programming proficiency

Beneficial Skills

Cloud computing High-frequency trading knowledge Natural language processing Distributed systems

Unique Aspects

Direct involvement in revenue-generating AI systems
Access to substantial computational resources
Exposure to cutting-edge trading technologies
Global collaboration opportunities

Career Growth

2-3 years for next level progression

Potential Next Roles

Senior AI Quant Quant Trading Lead Head of Systematic Trading AI Research Lead

Company Overview

Goldman Sachs

Leading global investment bank with strong technological focus

Tier 1 investment bank with significant resources for AI/ML development
Major APAC hub with strategic importance
Fast-paced, innovative environment with emphasis on technical excellence
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