Quantitative Analyst ID-12979
About the position
As a Quantitative Analyst at Evergy, you will play a crucial role in the financial analysis and modeling processes that drive our business decisions. Your primary responsibility will be to develop and implement quantitative models that support various financial strategies and initiatives.
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This position requires a strong analytical mindset, proficiency in statistical methods, and the ability to interpret complex data sets to provide actionable insights. You will collaborate with cross-functional teams to ensure that our financial models align with the company's objectives and regulatory requirements. In this role, you will be expected to conduct thorough research and analysis of market trends, financial performance, and risk factors. You will utilize advanced statistical techniques and software tools to create predictive models that inform investment decisions and optimize resource allocation. Additionally, you will be responsible for presenting your findings to stakeholders, ensuring that your analyses are clear, concise, and impactful. The ideal candidate will have a strong background in finance, mathematics, or a related field, with experience in quantitative analysis and financial modeling. You will need to demonstrate your ability to work independently and as part of a team, managing multiple projects simultaneously while meeting deadlines. Your contributions will be vital in helping Evergy maintain its competitive edge in the energy sector.
Responsibilities
- Develop and implement quantitative financial models to support business decisions.
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- Conduct research and analysis of market trends and financial performance.
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- Utilize statistical techniques to create predictive models for investment decisions.
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- Collaborate with cross-functional teams to align financial models with company objectives.
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- Present findings and analyses to stakeholders in a clear and concise manner.
Requirements
- Bachelor's degree in Finance, Mathematics, Statistics, or a related field.
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- Proven experience in quantitative analysis and financial modeling.
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- Strong analytical and problem-solving skills.
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- Proficiency in statistical software and programming languages such as R, Python, or MATLAB.
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- Excellent communication skills, both written and verbal.
Nice-to-haves
- Master's degree in a related field.
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- Experience in the energy sector or utility industry.
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- Familiarity with regulatory requirements in the energy market.
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- Knowledge of machine learning techniques and their application in finance.
Benefits
- Health insurance coverage
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- 401k retirement savings plan
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- Paid holidays and vacation time
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- Professional development opportunities
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- Flexible scheduling options