Description

JOB TITLE: Lead Energy Quantitative Analyst

REQUISITION ID: FOS00AG

DEPARTMENT: Generation Resources – Kansas City Headquarters

LOCATION: Kansas City, MO

Scheduled Work Hours: Monday - Friday, 8:00 a.m. - 5:00 p.m. (Other hours as required)

PAY RANGE: (Min-Mid-Max)

Lead Analyst: $104,200 - $138,900 - $173,600

Note: Remote locations will be considered for the right candidate.

Summary of Primary Duties and Responsibilities:

Candidate will need a strong understanding of financial concepts, energy deal structures and be able to identify transactional risks. Role requires developing and using proprietary built models to price energy derivative instruments, inform the timing of transactions, and assess in managing financial and operations risk. Need to be extremely strong with statistics, quantitative analysis, and modeling. Using these techniques is critical to evaluating energy markets and deal structures. Programming skills are necessary. Candidate must demonstrate advanced knowledge to build financial, fundamental & technical analysis models. Strong experience in modeling with voluminous amounts of data is mandatory; this includes analyzing data, benchmarking, and implementing identified strategies.

Qualifications

Education and Experience Requirements:

⦁ Lead Analyst: Master’s degree in degree in finance, business, mathematics, engineering, financial engineering, physics, economics, statistics, computer science or an equivalent discipline with a strong emphasis in statistical analysis, finance, computer modeling or problem solving. A PhD in a technical field or certification as a Chartered Financial Analyst (CFA) preferred.

⦁ Minimum of 8 (Lead Analyst) years of experience working in energy or commodities markets, trading, integrated resource planning, finance, or origination marketing.

Skills, Knowledge, and Abilities Required:

⦁ Effective oral and written communications skills are required given the complexity of the role, model building and support across multiple groups, and the intricate information and analysis required.

⦁ High level quantitative, analytical skills with an understanding of U.S. power market structures, fundamentals, technical analysis and deal structuring

⦁ Proficiency in PowerBI, Excel, and scientific programming languages such as Python or R

⦁ Ability to manage voluminous amounts of data with ability to visualize data and identify pattern trends

⦁ Understand how to do a decomposition of market prices and structured deals

⦁ Knowledge and application of machine learning as needed

⦁ Strong statistical background with ability to design develop new predictive/analytical modeling tools

Licenses, Certifications, Bonding, and/or Testing Required: None

Working Conditions: Normal office working conditions.

Evergy has a clear mission – To empower a better future. Evergy chooses to live this mission by valuing People First. We know that to lead the responsible energy transition and provide affordable, reliable, and sustainable service to our customers and communities, we need a team with a variety of backgrounds, perspectives and skills. So, our goal is to be a diverse workforce that is representative of the communities we serve. We are committed to celebrating diversity and building a team where everyone – regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status – has a voice and can bring their best every day. We know that the more diverse and inclusive we are, the better we will be. Evergy is proud to be an equal opportunity workplace and is an affirmative action employer.

Disclaimer: The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Shift Variable/Rotating

Job Field: Energy Trading/Power Marketing

Req ID: FOS00AG