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Executive Python Financial Jobs in Dallas, TX (NOW HIRING)

United Flow Technologies

Finance Manager

Irving, TX · On-site

Prepare and present high-quality materials to the CEO, CFO, Board of Directors, and Berkshire ... Experience with AI/automation tools such as Claude, scripting (Python, SQL), and/or workflow ...

Synchrony Financial

VP, Amazon Analytics

Dallas, TX · On-site

... executive-ready recommendations. * Partner with Marketing, Finance, and Client teams to design and ... Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client-facing role ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

SQL, Python, PySpark * Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold ... Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.

Unleashed Brands

Growth Scientist

Bedford, TX · On-site

They don't simply analyze data--they partner with leaders across Marketing, Operations, Finance ... executives and influencing decisions. * They remain deeply technical, writing SQL and Python or R ...

Midasis Technologies LLC

Data Analyst

Richardson, TX · On-site

... occupancy, financial KPIs, asset performance) * Proficiency in Python (Pandas, NumPy, data analysis libraries) * Experience partnering with executive leadership teams * Strong knowledge of data ...

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Executive Python Financial information

See Dallas, TX salary details

$13

$57

$85

How much do executive python financial jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for executive python financial in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

Executive Python Financial jobs near you
VP of Credit & Business Intelligence (TX)

VP of Credit & Business Intelligence (TX)

One Park Financial

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About One Park Financial
One Park Financial, a leading provider of financing solutions for small and mid-sized businesses, has been consistently recognized as a top workplace for seven consecutive years, earning both the Best Place to Work and Sun Sentinel's Top Places to Work awards. As a fast-paced and innovative financial services company, we take immense pride in disrupting the industry and positively impacting the lives of business owners nationwide. At One Park Financial, excellence and results are celebrated, and your skills and passion will be recognized and rewarded, providing opportunities for both professional and personal growth.
About the VP of Credit & Business Intelligence
Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business financing and emerging embedded finance products. This pivotal role aims to empower small businesses by managing the risk appetite through advanced decisioning models, growth strategies, reporting, and analytics vital to the organization.
Requirements
Job Responsibilities
  • Own Credit Policy & Analytics across the organization - Credit Origination, Account Management, Portfolio monitoring, Collections and Loss/Growth Forecasting.
  • Lead development, validation and implementation of advanced AI/ML models and strategies to expand small business access to finance, taking intelligent risks.
  • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities.
  • Support effective challenge of Business Operations through Data & Data Science based Business Intelligence rhythms.
  • Partner with Product, Engineering and Operations to productionize strategies in decision engines, while ensuring data quality, monitoring and controls.
  • Leverage Open Banking (Plaid), Credit (Commercial & Personal), Business Identity, Fraud and validation sources to evaluate improvements in our Credit strategy and merchant experience.
  • Identify areas to reshape user flows, reduce customer friction and optimize the credit funnel.
  • Manage Analytics infrastructure needs for proactive highlighting of issues that need to be addressed and prioritized in the organization.
  • Manage Executive discussions on Analytics prioritization for the most pressing business needs.
  • Coach, Mentor and Develop the Analytics team to turn into effective Credit & Business Intelligence champions and credit policy owners.

Job Requirements
  • 8-10 years of credit and/or analytics experience at Fintechs or Credit institutions, with 3+ years of direct merchant / SMB risk experience preferred.
  • Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk.
  • 5+ years of leading teams (data science, analytics, risk policy) and scaling analytics functions at a growing organization.
  • Proven track record of implementing business intelligence-based optimization strategies (reporting & alerting) with P&L impact.
  • Fluency in SQL and Python or R; experience with BI tools (PowerBI/Tableau) and cloud data platforms (Snowflake/AWS/Databricks).
  • Outstanding leadership, communication, and interpersonal skills, with the innate ability to inspire and motivate a team.
  • Bachelors in a quantitative field; advanced MS/PhD qualifications are a plus.

Benefits
  • Dental Insurance
  • Health insurance
  • Vision insurance
  • Paid time off
  • 401k with Match
  • Company Paid ID Protection
  • Company Paid Life Insurance

Apply