Staff/Senior Data Scientist, Algorithm – Risk & Fraud

🕒 March 27

🏢🏡 San Francisco – Hybrid

💵 $146.1k - $246.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Airwallex

Airwallex

WebsiteLinkedIn

1001 - 5000 employees

Founded 2015

💳 Fintech

💸 Finance

Fintech • Finance • Payments

Airwallex is a fintech company that provides leading technology solutions to manage global payments, treasury, and financial operations for businesses. It offers a comprehensive suite of financial services including business accounts, spend management tools, payment solutions, and embedded finance components to build custom financial products. Airwallex's platform supports multi-currency transactions, interbank FX rates, and global transfers, aiming to simplify financial operations and unlock growth opportunities for over 150,000 businesses worldwide. The company is committed to providing safe, reliable, and compliant financial services with a strong technological infrastructure.

📋 Description

• Analyze business requirements and translate them into machine learning problems • Work on data engineering, feature engineering, model training, and deployment • Identify issues and propose effective solutions through regular analysis • Develop machine learning platforms and tools to streamline ML workflows at Airwallex • Collaborate with cross-functional teams to apply models that solve business problems

🎯 Requirements

• At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc. • Bachelor’s or above degree in Computer Science, Engineering, or a related technical field. • Proficient in coding language such as Python and SQL. • Experience in payment risk or international e-commerce risk is a plus. • Experience in applying LLMs to real-time risk management is a plus.

🏖️ Benefits

• Offers Equity • Offers Bonus • Health insurance • 401(k) plan • Short-term and long-term disability • Basic life insurance • Well-being benefits • 20 paid days of vacation • 12 paid days of company holidays

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