Financial Data Analyst

At First Community Bank, we are committed to making our community, the places where we live and work, a better place each day. With a true focus on "community banking," employees find that they can make an impact through company-sponsored programs such as paid volunteer time, matching gifts for charitable contributions and team participation in charitable events. Through a comprehensive wellness program, employees and their families challenge themselves to healthier lifestyles and receive the necessary motivation and tools. With over 50 locations in four states, First Community Bank offers competitive benefits and the personal service you would expect from a company that knows your community. We welcome all applicants and look forward to new colleagues joining our community!

Duties

The Financial Data Analyst will serve as a liaison between Technology, Finance, and Business units to facilitate data transformation. Support activities related to financial planning and analysis around pricing, profitability, cash flow management, liquidity risk, and interest rate risk. Develop and enhance product-level pricing and profitability analysis. Build predictive models and machine-learning algorithms using Scikit-learn and TensorFlow to answer questions around credit risk, profitability, and pricing. Analyze large amounts of information to discover trends and patterns in data. Establish metrics to measure performance, usage, and profitability. Write SQL queries to structure data necessary for machine learning. Validate data developed for analysis by other Business Intelligence developers. Complete training, as assigned, within the expected timeframes. All employees are expected to support First Community Bank's mission, vision, and values by exhibiting commitment to the Company Standards of Conduct and executing to the fullest extent possible the duties detailed within this job description.

Qualifications:

• Bachelor's degree in Finance, Economics, Data Science, Computer Science, or a related field; Master's degree preferred

• Coursework or specialization in finance, data science, or machine learning, is highly desirable

• Relevant internship or project experience in finance, with a focus on financial analysis, applying machine learning techniques to the analysis

• Experience with data analysis, machine learning, or data science

• Proficiency in financial analysis and modeling

• Proficient programming skills in Python, R, TensorFlow, Scikit-learn, and Pandas are beneficial

• Experience with SQL and data visualization tools like Power BI preferred

• Excellent communication and interpersonal skills

• Ability to sit in front of a computer for extended periods of time