Temp-BSA Data Scientist

East West Bank; Houston (TX); On-site; Full time

Job summary

A leading financial institution is seeking a motivated Data Scientist to join its team in Houston. This role involves utilizing data analytics to support anti-money laundering and fraud management efforts. The successful candidate will have a solid foundation in programming and statistics, and will work collaboratively with various teams to drive data-driven solutions.

Qualifications

• Knowledge of R, Python, SQL, Hive, Pig.
• Understanding of Multivariable Calculus and Linear Algebra.
• Experience with data science tools.

Responsibilities

• Data mining or extracting usable data from valuable data sources.
• Using machine learning tools to select features and optimize classifiers.
• Presenting results clearly and proposing solutions.

Skills

Programming Skills

Statistics

Math Skills

Data Wrangling

Data Visualization

Network/Link Analytics

Communication Skills

Software Engineering

Problem-solving

Analytical Mindset

Tools

Tableau

Power BI

Job description

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Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities. Our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit, and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.

Overview
The Data Scientist works closely with business partners to turn data into critical information and knowledge that can be used to make sound anti-money laundering (AML), sanctions, and fraud risk management decisions. The individual must be detail-oriented, able to manage multiple tasks, and lead data-driven changes. Collects large amounts of data using analytical, statistical, and programmable skills. It is their responsibility to develop solutions tailored to meet the organization’s unique needs.

Responsibilities

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating data integrity for analysis
• Analyzing large information sets to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results clearly
• Proposing solutions and strategies for business challenges
• Collaborating with Business and IT teams

Qualifications

• Programming Skills: knowledge of R, Python, SQL, Hive, Pig; familiarity with Scala, Java, C++ is a plus
• Statistics: knowledge of statistical tests, behavior clustering, distributions, regression, MLE, etc.
• Math Skills: understanding of Multivariable Calculus and Linear Algebra
• Data Wrangling: proficiency in handling data imperfections
• Experience with Data Visualization Tools like Tableau and Power BI
• Network/Link Analytics
• Excellent Communication Skills
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving skills
• Analytical mindset and business acumen

Compensation
The pay range is USD $35.00/Hr. - USD $55.00/Hr., depending on experience, skills, and location.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Business Development and Sales

Industries

• Banking

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