At GE Capital Americas, we are imagination at work. Whether it's providing financing to purchase, lease and distribute
equipment, or supplying our clients with the capital needed for their real estate and corporate acquisitions, refinancing and
restructurings, the GE Capital Americas teams are dedicated to turning imaginative ideas into leading financial products and
services that support the success of businesses worldwide. GE Capital Americas is the top leasing company in North America
and a leader in U.S. corporate finance. Here, you'll work with the most talented people in the industry, employing world-class
processes to execute projects with real impact. If you're an
enthusiastic selfstarter and a driven, creative, flexible problem
solver,
then join GE in creating the next generation of financial products that will keep the world of business moving forward for
generations to come.
GE Capital employs a strong team of Risk Analytics professionals who apply advanced risk management analytics and modeling
to drive business strategy and decision-making across a broad range of business activities. Often interacting with senior
management, Analytics members play key roles in business activities including forecasting, stress testing, regulatory readiness,
capital management, reporting and data management/governance.
GE Capital has a culture of continuous development through role flexibility and geographical mobility. Risk Analytics
professionals are encouraged to develop capabilities across the spectrum of advanced analytics in a dynamic, challenging
business environment. As a part of General Electric Company, GE Capital Analytics professionals have access to a variety of
learning tools and opportunities to help in personal development and career growth.
Experienced
Risk Management
Risk Analytics
United States
ConnecticutIllinois
Norwalk, Danbury, or Chicago
06851-1056
Yes
GE
is an equal opportunity employer, offering a great work environment,
challenging career opportunities, professional training and competitive
compensation.
Serve as contributing leader to Financial model
(ALLL, risk-based pricing, prepayment, impairment, valuation, etc.)
design, development, documentation, approval, implementation, monitoring
and reporting, as well as supporting portfolio analytics, capital
allocation, loss forecasting, portfolio management and reporting.
Develop,
implement and manage holistic strategies for modeling (design,
development, validation, calibration, documentation, approval,
implementation, monitoring and reporting), in collaboration with Risk
Modeling Leader
Conduct analytics to validate the performance of existing
quantitative risk models, recommend changes, and lead gap closing
projects
Produce management level dashboards, ad hoc reporting and analysis
Manage model supporting data warehouses in terms of
accuracy and completeness; shape data and process structures from System
of Record to Data warehouse to ensure accuracy and precision of data
used for modeling, reporting and analysis
Drive standardization of processes that ensure timely
generation and retrieval of reporting and risk analytics data, including
support of model management framework
Incorporate operational definitions and conceptual system
designs to create algorithms that meet business reporting and analytics
needs
Create the foundation for more sophisticated approaches to modeling and advanced analytics where beneficial
Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops)
Manage and guide supporting resources as required
Bachelor's
degree in Risk related field (Accounting, Business, Economics, Finance,
Math/Stat, Operations Research, etc. with Quantitative underpinning)
with 6+ years of relevant Risk or Finance experience
Strong business finance acumen, especially in Financial Services Industry
Experience in underwriting, risk, actuarial, statistical reporting roles
Demonstrated strong experience in statistical model
lifecycle management, including proficient level of expertise with at
least one statistical modeling language/utility
SAS (or equivalent) proficiency and expertise building and implementing routines for data transformation
Demonstrated strong SQL skills and experience delivering SQL code and supporting physical database designs
Strong knowledge of MS office tools, and data mining tools (Access, SQL, BO, SAS, etc.)
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.
Must be willing to comply with pre-employment screening,
including but not limited to, drug testing, reference verification and
background check.
Must be willing to travel up to 15% of the time.
Must be willing to work out of an office in Norwalk or Danbury, CT or Chicago, IL
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.
Graduate
degree in Risk related field (Accounting, Finance, Economics, Math/Stat
or Operations Research with Quantitative underpinning); FRM and CFA a
plus
Familiarity with Basel Initiative, business operations and regulatory matters, such as SR 11-7 model governance
Experience with ALLL, reserving, pre-payment, impairment, valuation modeling, and risk-based pricing
Experience in management of, or results driven contribution to, cross-functional teams (Risk, Finance, IT, Operations)
Strong knowledge of commercial finance
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
Operational understanding of and experience with Model Risk, and balancing sophistication with simplicity (Ockham's Razor)
Excellent oral and written communication skills
Strong interpersonal and team management skills
This role is eligible for a GE Employee Referral bonus
award that is double the current eligibility amount. All other
guidelines under the WDYK (Who Do You Know) Employee Referral program
are applicable.
YOU MUST BE ABLE TO SATISFY THE REQUIREMENTS OF SECTION 19 OF THE FEDERAL DEPOSIT INSURANCE ACT.
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