Sr. Mgr. of Quantitative Finance and Data Science
Company: SunPower
Location: Richmond
Posted on: March 14, 2023
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Job Description:
Do you want to change the world? We do, too.SunPower is changing
the way our world is powered every day with a passionate and driven
team of more than 3,660 full-time employees in North America and
the Philippines. SunPower provides world-class solar solutions to
residential customers across the U.S. with a commitment to a
superior customer experience. We welcome forward thinkers, freedom
chasers and all those demanding better, cleaner energy to join
us.Sr. Manager, Quantitative Finance and Data ScienceSunPower's
mission is to change the way the world is powered. Solar is one of
the fastest-growing industries in the US. Not only is solar energy
clean; for most Americans it also saves money vs. buying power from
the utility. Studies show that the #1 barrier to solar adoption is
concern over upfront cost. The mission of the SunPower Financial
team is to remove that barrier by making it cheap and easy for
homeowners to go solar with no money down.Reporting to the Senior
Director, Capital Markets, this role will design, implement, and
own complex financial models in support of our residential solar
loan and lease business. This includes transaction modeling,
forecasting, scenario analysis, and stochastic analysis to measure
risk. The solar industry enjoys a complex array of Federal and
State incentives and tax benefits designed to spur solar adoption,
build a green manufacturing sector in the US, and combat climate
change. Maximizing the value of these unique benefits requires
particularly complex financing arrangements, which in turn require
advanced financial modeling capabilities. As the lead financial
modeling expert of our team, you will be at the center of this
complexity. Your models will be in production at the heart of our
automated pricing and underwriting systems. You will be a trusted
expert advisor to SunPower senior leadership on how to optimize the
lease and loan business.This is a senior position that brings
immediate opportunities for real-world impact. Your work will
translate directly into savings for our customers, which in turn
will lead to faster growth and meaningful P&L upside for
SunPower. The ideal candidate has a track record building and
operating complex financial and statistical models for asset-backed
securities or project finance transactions, including running
stress scenarios. Your understanding of statistical methods is
robust. You are proficient in the tools of the quantitative
practitioner, e.g. Python, R, and/or Matlab. You are comfortable
working with very large datasets, and with modern scientific
platforms such as Sagemaker, Azure ML, Datalab, etc.The ideal
candidate will be an independent and curious thinker who can build
robust, high performing models that will scale for the future, and
can make convincing, information-based arguments to influence the
direction of the company. This role has C-level visibility and
requires delivery and operation of a complex set of solutions at a
high bar for quality in a fast-paced environment. Superior
analytical training and abilities are essential.Basic
qualifications:---Bachelors' degree in Financial Engineering,
Computer Science, Mathematics, Statistics, or similar technical
field.---8+ years' experience in a financial modeling role, with at
least some of that period working on problems related to ABS,
structured credit, and/or project finance transactions or
investments.---Proven ability to write performant code in at least
one programming language (e.g. C, C++, Java, or Python).---Proven
ability to analyze large data sets and draw useful commercial
conclusions.---A sound understanding of fixed income mathematical
concepts.---A keen interest in solving analytical
problems.---Demonstrated ability to work in a fast-paced
environment, prioritizing tasks to maximize value.Preferred
qualifications:---Master's degree in an analytical area such as
Financial Engineering, Computer Science, Mathematics, Statistics,
or similar technical field.---Experience with solar loan or lease
transactions, especially tax equity partnerships.---Experience with
time series forecasting methods.---Strong verbal/written
communication and data presentation skills, including an ability to
effectively communicate with both business and technical
teams.---Ability to be a trusted expert advisor and partner who can
work cross-functionally, building and maintaining trust with
internal stakeholders.Professional traits that are not unique to
this position but necessary for SunPower leaders:---Exhibits
excellent judgment---Hires great people. Develops great
people---Has relentlessly high standards---Expects and requires
innovation of their team---Thinks big and has
convictions---Delivers results---Has the innate ability to inspire
passion in othersDon't meet every single requirement?Studies have
shown that women and underrepresented minorities are less likely to
apply to jobs unless they meet every single qualification. At
SunPower, we are dedicated to building a diverse, inclusive, and
authentic workplace, so if you're excited about this role but your
past experience doesn't align perfectly with every qualification in
the job description, we encourage you to apply anyway. You may be
just the right candidate for this or other roles.Equal Employment
OpportunityThe Company is an equal employment opportunity employer
and makes employment decisions, including but not limited to,
hiring, firing, promotion, demotion, training, and/or compensation,
on the basis of merit. Employment decisions are based on an
individual's qualifications as they relate to the job under
consideration. The Company's policy prohibits unlawful
discrimination based on sex (which includes pregnancy, childbirth,
breastfeeding, or related medical conditions, the actual sex of the
individual, or the gender identity or gender expression), race,
color, religion, including religious dress practices and religious
grooming practices, sexual orientation, national origin, ancestry,
citizenship, marital status, familial status, age, physical
disability, mental disability, medical condition, genetic
information, protected veteran or military status, or any other
consideration made unlawful by federal, state or local laws,
ordinances, or regulations. The Company is committed to complying
with all applicable laws providing equal employment opportunities.
This commitment applies to all persons involved in the operations
of the Company and prohibits unlawful discrimination by any
employee of the Company, including supervisors and
co-workers.Accommodation for Applicants to SunPower
CorporationSunPower Corporation is an Equal Employment Opportunity
/ Affirmative Action employer and provides reasonable accommodation
for qualified individuals with disabilities and disabled veterans
in job application procedures. If you have any difficulty using our
online system and you need a reasonable accommodation due to a
disability, you may use the following alternative email address to
contact us about your interest in employment at SunPower
Corporation: jobs@sunpower.com. Please indicate in the subject that
line of your email that you are requesting accommodation. Only
candidates being considered for a position who require an
accommodation will receive a follow-up response.NOTICE TO ALL
APPLICANTS AND EMPLOYEESAvailability of Affirmative Action Plan for
ReviewSunPower is a federal government contractor. As a part of the
Company's obligations under law, it must develop a written
Affirmative Action Program (AAP) for the Disabled, Recently
Separated Veterans, Armed Forces Service Medal Veterans, Disabled
Veterans and Active Duty Wartime Or Campaign Badge Veterans and for
Women and Minorities as specified by law. Non-confidential and
non-proprietary aspects of the AAP are available for inspection by
applicantsand employees, consistent with applicable law, which will
be made available during office hours by contacting the EEO
Officer.
Keywords: SunPower, Richmond , Sr. Mgr. of Quantitative Finance and Data Science, Accounting, Auditing , Richmond, California
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