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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