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1mo ago

Financial Crimes Data Scientist

East West Bank Pasadena, CA

Pasadena, CA

1mo ago Closed

$100k - $200k/yr Full time Advanced Analytics Ai Ml Analytics

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

East West Bank is seeking a Financial Crimes Data Scientist to design, implement, and optimize AML and fraud-detection models using machine learning, network analytics, and large-scale financial data. The role concentrates on enhancing detection capabilities, reducing false positives, and supporting regulatory compliance, with an onsite base in Pasadena, California.

Responsibilities

Develop and deploy internal models to detect AML, fraud, and related financial crime risks, including end-to-end design, validation, and rollout.
Build risk-scoring, anomaly-detection, predictive, and network-analytics models using both internal and external data sources.
Create and refine transaction monitoring scenarios and machine learning–driven alerting frameworks.
Establish model deployment pipelines and ongoing production monitoring to maintain effectiveness and regulatory alignment.
Perform feature engineering, model tuning, and performance assessments to improve precision, recall, and operational efficiency.
Collaborate with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate evolving risks into scalable detection approaches.
Aim to minimize false positives while enhancing detection of high-risk activity and suspicious behavior.
Support governance, validation, documentation, and regulatory examinations of models.
Perform additional duties as required.

Requirements

Proficiency in statistical programming languages such as Python or R, and experience with SQL-based data querying (including Hive and Pig) is preferred; familiarity with Scala, Java, or C++ is a plus.
Strong applied statistics background covering hypothesis testing, clustering behaviors, distributions, regression, and maximum likelihood estimation.
Solid grounding in multivariable calculus and linear algebra.
Ability to wrangle imperfect data and prepare clean datasets for analysis.
Experience with data visualization tools like Tableau and Power BI to effectively encode and present data.
Experience with network or link analytics.
Strong communication skills to convey findings to both technical and non-technical audiences.
Solid software engineering foundation.
Hands-on experience with data science toolchains and practical implementations.
Strong problem-solving aptitude and analytical mindset with business acumen.

Technologies

Python
SQL
Spark
Databricks
Hive
Pig
Scala
Java
C++
Tableau
Power BI
Azure
AWS

Compensation

Base pay range: USD 100,000 - 200,000 per year. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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