BI/Data Scientist Financial Services - RMS Computer Corporation

Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

Description:

Overview:

The Data Scientist must be able to work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. The ideal candidate has experience in solving analytical problems using quantitative approaches with a passion for data & statistics.

Responsibilities:

•Mine and analyze large sets of data

•Identify gaps and opportunities for improvement

•Leverage this data to develop strategic roadmaps

•Define and deploy metrics for measuring process improvement

•Institute feedback models to enable continuous process improvement

•Conduct research and publish artifacts to drive simplification

•Review / Author operational procedures

•Distill information provided by subject matter experts and other partners into executive-level narratives

•Establish foundational and execution work streams for process improvement and automation initiatives

•Partner with Domain and Technical architecture teams to drive efficiency

To be effective in this role, the candidate should possess the following:

•5-8 years of Data Analysis, or relevant experience with at least 2 years as a Data Scientist.

•Knowledge and experience of a variety of exploratory data analysis, predictive modeling, anomaly detection and their real-world advantages/drawbacks.

•Experience using statistical computer languages like Python, R, etc.

•Working to deep knowledge of financial products and automation solutions

•Machine learning experience is a plus

•Experience in predictive model a/b testing and training models

•Experience in complex data extraction techniques and data cleansing methodologies

•Ability to deconstruct descriptive data into meaningful categories for predictive modeling and visual analysis.

•Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques

•Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes

•Experience in all the phases of a software development lifecycle project including requirements gathering, analysis, design, and implementation through agile and/or waterfall and/or hybrid methodologies

•Excellent problem-solving skills, including the ability to grasp new concepts quickly, lead diverse partners toward reasonable recommendations, and prepare decisions in a logical fashion with supporting impact, to aid in timely decision making

•Ability to develop and manage a comprehensive program plan and dependencies

•Intellectually curious, consistently seeking and developing new opportunities

•Self-starter, with an ability to lead and execute work with limited to no supervision

•Ability in strategic thinking and the ability to frame business problems

•Excellent written and verbal communication skills; must be able to understand detailed problem resolution discussions and condense pertinent facts for senior leadership

•Experienced with data visualization tools a plus

170895

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