Posted Position Title : Data Analytics Manager

Job Number	1839253
Business	GE Capital
Business Segment	Capital - Staff
About Us	Headquartered in Norwalk Connecticut, GE Capital is one of the world’s largest providers of credit and expertise. For more than 1 million businesses, GE Capital provides financing to purchase, lease and distribute equipment, as well as capital for real estate and corporate acquisitions, refinancings and restructurings. GE Capital operates in a number of industries, from airlines, healthcare and energy financing to fleet, franchise and middle market corporate finance. For approximately 80 million consumers, GE Capital offers credit cards and retail sales finance programs. GE Capital is an extension of GE's rich heritage of building and supporting growth, providing customers with insight, knowledge and expertise in addition to financing. At GE, developing people is embedded in our culture and integral to our growth. Join us and you’ll find yourself part of a dynamic team full of professional challenges and opportunities. To learn more visit www.gecapital.com.
Career Level	Experienced
Function	Risk Management
Function Segment	Risk Analytics
Location(s) Where Opening Is Available	United States
U.S. State, China or Canada Provinces	Connecticut
City	Norwalk
Postal Code	06851-1000
Relocation Expenses	Yes
Role Summary/Purpose	GE is an equal opportunity employer, offering a great work environment, challenging career opportunities, professional training and competitive compensation. This role will be responsible for leading, managing and executing statistical data mining techniques to provide insights into the quality of GECC’s credit & investment risk data. These findings should identify opportunities to apply statistical methods, their design and implementation of analytical solutions that will play a crucial role in improving data governance standards across GE Capital. Specifically, the role will be focused on initiatives supporting GE Capital’s risk management prac
Essential Responsibilities	Proactively lead data mining initiatives to evaluate the quality of new and existing data attributes in GECC’s centralized data warehouse Assist in gathering and monitoring of credit & investment risk data across GE Capital’s global portfolios with a focus on consistency and accuracy. Partner with Risk and Finance peers to consolidate and validate GE Capital’s risk data. Understand GE Capital’s risk data infrastructure and data lineage to identify opportunities to simplify & improve the risk data collection & aggregation processes Manage the monitoring and improvement of data quality through support of Data Stakeholders. Develop and manage a team of data quality professionals. Develop processes and standards to ensure risk data is consistent and accurate. Lead platform efforts on improving data quality, implementing new requirements, closing data gaps and exceptions and ensuring compliance with GE Capital HQ policies, procedures and data definitions. Work closely with data leaders in the GECC global business units on initiatives relating to data quality and definitional consistency and ensure that sustainable process improvements are implemented Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops, Business Units, Data providers, Data Users) to initiate, prioritize, design & deliver high-visibility data quality evaluation projects. Stay current on industry best practices in data governance & lead the implementation of new data mining tools in GE Capital Communicate and document statistical analyses, methods and findings in a logical and understandable manner for internal and external audiences
Qualifications/Requirements	Basic Requirements: Bachelors Degree and 5+ years of relevant work experience Strong business finance acumen, especially in Financial Services Industry Demonstrated experience managing high-profile, dynamic projects with multiple constituents, and involving technology development. Prior work experience in enterprise risk management or finance, a plus Demonstrated experience analyzing data with the ability to distill large amounts of information down to the critical areas of focus Proficient in software applications Excel, Word, Access, Power Point, Business Objects, Spotfire etc. Experience with statistical software such as Matlab, R, SAS, or SPSS and SQL, relational database design and methods for efficiently retrieving data from databases Proven project management expertise and leadership and communication skills Eligibility Requirements: Must submit your application for employment through COS (internal candidates) or www.gecareers.com (external candidates) to be considered for this job opening. GE will only employ those who are legally authorized to work in the United States. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen Must be willing to work out of an office in Norwalk, CT. For U.S. employment opportunities, GE hires U.S. citizens, permanent residents, asylees, refugees, and temporary residents. Temporary residence does not include those with non-immigrant work authorization (F, J, H or L visas), such as students in practical training status. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. GE will require proof of work authorization.
Additional Eligibility Qualifications	GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.
Desired Characteristics	Graduate degree in a relevant data science or operations research field with strong mathematical and statistical background Experience in agile data analytics experiments and creation/deployment of models and algorithms to analyze big data. Experience in operations research, statistical modeling, simulation or deep data mining in specific domains Experience in data engineering, pattern recognition and learning, advanced computing, uncertainty modeling, data warehousing, high performance computing, business analytics Experience with Teradata, Oracle, HADOOP etc. Demonstrated ability to lead and support projects from beginning to end Self-starter, ability to work independently in a fast paced environment and deliver solid action oriented results quickly Excellent oral and written communications skills with the ability to prepare clear and confidently present meaningful analysis to senior and executive management level Strong interpersonal and team management skills Must be able to work to tight deadlines with multiple priorities
Section 19 Job	YOU MUST BE ABLE TO SATISFY THE REQUIREMENTS OF SECTION 19 OF THE FEDERAL DEPOSIT INSURANCE ACT.