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Bank Python Jobs in Indiana (NOW HIRING)

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

Job Summary : Old National Bank is a regional powerhouse that has been serving clients and ... SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating ...

Old National Bank has been serving clients and communities since 1834. With over $70 billion in ... You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to ...

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

Overview Old National Bank has been serving clients and communities since 1834. With over $70 ... You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to ...

$106K - $128K/yr

Strong skills in Python and SQL * Experience creating solutions from scratch with limited resources ... Experience in insurance, reinsurance, banking, or finance * Familiarity with cloud platforms and ...

Senior DevOps Engineer

Fort Wayne, IN · On-site

$120K - $140K/yr

Our mission is to make millions of people's lives easier by developing innovative core banking and ... Scripting skills in PowerShell, Bash, C#, or Python. * Familiarity with Docker, Kubernetes, and ...

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Bank Python information

See Indiana salary details

$12

$55

$82

How much do bank python jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for bank python in Indiana is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are the key skills and qualifications needed to thrive as a Bank Python Developer, and why are they important?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.
What are popular job titles related to Bank Python jobs in Indiana? For Bank Python jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Bank Python jobs? Cities in Indiana with the most Bank Python job openings:
Corporate Treasury Analytics Lead

Corporate Treasury Analytics Lead

Old National Bank

Evansville, IN • On-site

$81K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

54th of 141 rated banks


Job description

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. 

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.  We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.


The Corporate Treasury Analytics Lead is responsible for sourcing and integrating data from multiple internal and external systems and automating recurring process to support to support the bank’s treasury functions. This role involves building tools for liquidity forecasting, interest rate risk analysis, capital planning, and balance sheet optimization. The lead collaborates with Treasury, Risk, Finance, and Technology teams to deliver data-driven insights and ensure compliance with regulatory requirements.

Salary Range

The salary range for this position is $81,700 - $165,100 per year plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

 

Duties and Responsibilities:

  • Source, extract, and consolidate data from external sources and core treasury systems.
  • Build and maintain internal data sources and curated datasets in Databricks ensuring Treasury teams have centralized, high-quality data to support models.
  • Develop SQL queries, APIs, and ETL processes to move and transform large datasets.
  • Design and implement automated workflows (Python, SQL, Power Automate) to streamline treasury reporting and reduce manual processes.
  • Collaborate with cross-functional teams to integrate analytics into treasury processes and reporting.
  • Serve as a bridge between Treasury and data engineering teams by developing reusable data products in Databricks.
  • Drive innovation in analytics platforms and data visualization tools.
  • Ensure model governance, documentation, and validation in line with regulatory expectations.
  • Support stress testing and regulatory submissions (e.g., CCAR, DFAST, LCR, NSFR).
Key Competencies
  • Strong understanding of treasury functions and financial risk management.
  • Proficiency in programming languages and tools (e.g., Python, R, SQL, MATLAB).
  • Experience with data visualization platforms (e.g., Tableau, Power BI).
  • Excellent communication and stakeholder engagement skills.
  • Ability to manage multiple projects and deliver high-quality results.
Qualifications and Education Requirements
  • Bachelor’s degree in Analytics, Finance, Mathematics, Statistics, or related field. 
  • 8+ years of experience in analytics, treasury, or risk management within a financial institution.
  • Professional certifications such as CFA, FRM, or CQF are advantageous.
  • Strong knowledge of regulatory frameworks and model governance standards.

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. 

As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. 

We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

Our culture is firmly rooted in our core values.

We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank.  Join our team!



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