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SAS Data Modeling Expert - Credit Risk

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a  hands-on data modeling expert to lead the onshore delivery of a transaction monitoring optimization engagement for a large US bank. The focus is reducing false positives in high-volume, low-conversion monitoring rules by moving from broad rule cutoffs to statistically grounded segmentation and classification models. You'll be the primary onshore point of contact and navigating the client's data environment, driving analysis, developing models, and coordinating a small offshore team, while keeping the work aligned to the bank's model risk governance standards.

Requirements

Key Responsibilities

Discovery & data analysis

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Quant Engineer

posted by: spj_bot

Location: Shanghai

On-Site | Full-time

Compensation: $150K–$200K + equity

Our client is an innovative quantamental investment platform that empowers investors to build, share, and collaboratively execute sophisticated trading playbooks. The platform covers the entire investment lifecycle, including financial modeling, data visualization, quantitative strategy development, event-driven backtesting, and real-time dashboard monitoring. Designed to seamlessly convert strategic ideas into live execution parameters without requiring code, the platform fosters collaborative intelligence to turn individual research into a powerful, shared edge.

On behalf of this client, we are seeking a top-tier Quant Engineer to build and scale the core, production-grade trading engine that powers the platform's execution layer. This is a pure systems and infrastructure engineering position, rather than a quantitative strategy or research role. The successful candidate will focus heavily on infrastructure, architectural correctness, and high-level reliability across the end-to-end framework: from research and event-driven simulation to paper trading, live order routing, and real-time execution.

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