One Park Financial
Company Overview
One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best.
Why Join Us At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team:
Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech
Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths
Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact
Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health
High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success
About This Role The Portfolio Data Analyst at One Park Financial will play a critical role in driving risk-informed growth for our rapidly expanding financing business. You will be responsible for closely monitoring the portfolio, detecting early signs of performance shifts, and identifying opportunities for sustainable expansion.
This role requires a balance of analytical depth and strategic problem-solving. You will establish repeatable monitoring practices, iterate through analysis cycles quickly, and recommend proactive actions to leadership. Beyond analysis, you will also support initiatives to optimize credit risk strategy, partner with product and operations teams to implement policy changes, and help ensure that both growth and risk management objectives are met.
The ideal candidate combines strong technical skills in SQL, Python, and Excel with a proven ability to influence executives and cross-functional partners. This position is a great fit for someone who thrives in fast-changing environments, enjoys uncovering insights in data, and is motivated to shape our financing strategy at the intersection of finance, risk, and operations.
Main Responsibilities
Portfolio Monitoring: Develop and maintain processes to track portfolio health in real time, identifying potential degradation or improvement trends
Loss Driver Analysis: Analyze correlations between performance and key features such as industry, credit scores, and macroeconomic conditions
Opportunity Identification: Highlight pockets of the portfolio where risk is lower than expected, enabling growth and expansion opportunities
Trend Detection: Continuously monitor shifts in performance data and elevate findings to executives with clear, actionable insights
Standardization & Process Building: Create repeatable frameworks for portfolio analytics and ensure consistency in monitoring practices
Risk Strategy Projects: Contribute to initiatives that strengthen risk policies, credit strategies, and portfolio management practices
Operations Collaboration: Work closely with operations teams to understand front-line business processes and assist in onboarding policy changes
Executive Communication: Translate complex analyses into clear recommendations that influence decision-making
Advanced Analytics: (As applicable) contribute to credit risk modeling, machine learning initiatives, and forecasting projects
Credit Analytics Projects: Support risk strategy through other credit analysis projects as necessary
Requirements
3+ years of experience in a data analyst, risk analyst, or portfolio analytics role
Strong SQL skills, including window functions, common table expressions (CTEs), and subqueries
Proficiency in Python, particularly standard data analysis libraries such as pandas and numpy
Proven ability to monitor portfolios, run trend analyses, and provide actionable insights
Excellent communication skills with a track record of influencing senior leadership
Bachelor's degree in a quantitative field (Finance, Economics, Statistics, Data Science, or related)
Nice-to-haves
Experience in lending or financial services, particularly with loan portfolios or credit analytics
Experience leveraging Plaid transaction data for analytics
Exposure to machine learning techniques applied to risk modeling, forecasting, or portfolio analysis
Experience working with executives or cross-functional teams to drive change
Bilingual (English/Spanish) a plus
Benefits
Competitive Salary
401k with Match
Health insurance
Dental & Vision Insurance
Life insurance
Identity protectionPaid time off
Office Snacks
Monthly events
OPF is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability, or veteran status
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Why Join Us At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team:
Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech
Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths
Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact
Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health
High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success
About This Role The Portfolio Data Analyst at One Park Financial will play a critical role in driving risk-informed growth for our rapidly expanding financing business. You will be responsible for closely monitoring the portfolio, detecting early signs of performance shifts, and identifying opportunities for sustainable expansion.
This role requires a balance of analytical depth and strategic problem-solving. You will establish repeatable monitoring practices, iterate through analysis cycles quickly, and recommend proactive actions to leadership. Beyond analysis, you will also support initiatives to optimize credit risk strategy, partner with product and operations teams to implement policy changes, and help ensure that both growth and risk management objectives are met.
The ideal candidate combines strong technical skills in SQL, Python, and Excel with a proven ability to influence executives and cross-functional partners. This position is a great fit for someone who thrives in fast-changing environments, enjoys uncovering insights in data, and is motivated to shape our financing strategy at the intersection of finance, risk, and operations.
Main Responsibilities
Portfolio Monitoring: Develop and maintain processes to track portfolio health in real time, identifying potential degradation or improvement trends
Loss Driver Analysis: Analyze correlations between performance and key features such as industry, credit scores, and macroeconomic conditions
Opportunity Identification: Highlight pockets of the portfolio where risk is lower than expected, enabling growth and expansion opportunities
Trend Detection: Continuously monitor shifts in performance data and elevate findings to executives with clear, actionable insights
Standardization & Process Building: Create repeatable frameworks for portfolio analytics and ensure consistency in monitoring practices
Risk Strategy Projects: Contribute to initiatives that strengthen risk policies, credit strategies, and portfolio management practices
Operations Collaboration: Work closely with operations teams to understand front-line business processes and assist in onboarding policy changes
Executive Communication: Translate complex analyses into clear recommendations that influence decision-making
Advanced Analytics: (As applicable) contribute to credit risk modeling, machine learning initiatives, and forecasting projects
Credit Analytics Projects: Support risk strategy through other credit analysis projects as necessary
Requirements
3+ years of experience in a data analyst, risk analyst, or portfolio analytics role
Strong SQL skills, including window functions, common table expressions (CTEs), and subqueries
Proficiency in Python, particularly standard data analysis libraries such as pandas and numpy
Proven ability to monitor portfolios, run trend analyses, and provide actionable insights
Excellent communication skills with a track record of influencing senior leadership
Bachelor's degree in a quantitative field (Finance, Economics, Statistics, Data Science, or related)
Nice-to-haves
Experience in lending or financial services, particularly with loan portfolios or credit analytics
Experience leveraging Plaid transaction data for analytics
Exposure to machine learning techniques applied to risk modeling, forecasting, or portfolio analysis
Experience working with executives or cross-functional teams to drive change
Bilingual (English/Spanish) a plus
Benefits
Competitive Salary
401k with Match
Health insurance
Dental & Vision Insurance
Life insurance
Identity protectionPaid time off
Office Snacks
Monthly events
OPF is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability, or veteran status
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