IBM AML/KYC Data Scientist in Houston, Texas

Job Description

IBM Watson FSS: Join a Leader in Financial Services Solutions!

IBM Watson Financial Services Solutions help global top-tier Financial Services clients solve their most complex business and financial risk issues. As a Data Scientist in the Financial Crimes Insight Solutions you will play a key role within the exciting Financial Crimes Insight Solutions business. You will use your subject matter expertise and data science skills to design, develop and deploy data driven solutions from pre-sales to delivery.

As a member of the POC SWAT Team you will apply data science skills to ensure the successful delivery of various phases of POCs and solution implementations. Main responsibilities include: analysis of industrial-sized data sets to determine suitability for model building; identify opportunities for data augmentation; data staging and analysis; signal processing, pattern identification and feature extraction; variable creation and selection; experimentation with algorithms; performance analysis and presentation for communication with internal and external clients. The Data Scientist creates, tests and validates hypotheses for business problems. Able to work with experts in a business area; has some knowledge of business strategy/execution. Identifies approaches to improve the accuracy and effectiveness of analytics models. Understands and prepares data for analysis by applying knowledge of data sources and how they are gathered, stored and retrieved as well as manipulating large volumes of data. Able to effectively use key analytics tools to design, develop and apply appropriate statistical and mathematical techniques to solve business problems as well as to create repeatable, automated processes. Familiar with several data and big data tools. Creates visual presentations of analytics results and sometimes translates quantitative insights for a non-technical audience. Works with target users to deploy analytics solution.

In addition to broad and deep data and analytics skills, the data scientist has strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Incumbents also advise on and select the business problems that have the most value for the organization. Incumbents are typically not found within a functional area or tied to an individual project, but rather are experts who are able to address problems across the organization.

The role is part of a combined technical and consulting team focused on pre-sales engineering and analytic deliverables. Travel required to client locations. Proficiency in Machine Learning, mathematics/statistics skill, in-depth understanding of predictive models, algorithms and use cases behind solutions, along with Financial crimes/ AML experience is desired. Technical familiarity with Python, R, Spark R, SPSS is required.

This position must be based in one of the following strategic locations:

New York, NY

Raleigh, NC

Required Technical and Professional Expertise

  • 8 years of experience in an Analytics, Consulting, or start-up environment

  • Analytic/scientific programming skills (UNIX, Python, scripting, R, SAS, MATLAB, Spark, SPSS, etc.)

  • Strong Engineering instincts (tenacious attention to detail, systems, process, data and opportunities)

  • Analytics consulting or solution provider experience

  • Experience in geo-marketing and mobile applications

  • Experience in AML, KYC, Fraud, Insurance, Financial Crimes

  • Knowledge and understanding of SQL, C++, JAVA, Scala, or Big Data infrastructure

Preferred Tech and Prof Experience

  • MS/Ph.D. in a quantitative field (e.g., Statistics, Engineering, Physical/Biological Sciences, Operations Research, Economics).

EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.