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Bank Python Jobs in Indiana (NOW HIRING)

Transparent Hiring

$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 ...

ManTech

Senior Cloud Engineer

Crane, IN · On-site

$55.75 - $74.50/hr

Utilizing pre-accredited containers (e.g., Platform One's Iron Bank) to build, deploy, and manage ... Experience with various scripting languages. (python, bash, powershell, etc.) * Hands-on experience ...

Genesis10

Entry Level Data Engineer

Indianapolis, IN

$50K - $60K/yr

You'll train in technologies including Relational and Non-Relational Databases, APIs, Python ... OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

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Bank Python information

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How much do bank python jobs pay per hour?

As of Sep 10, 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.

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 are the key skills and qualifications needed to thrive as a Bank Python developer?

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.

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 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 popular job titles related to Bank Python jobs in Indiana?

For Bank Python jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Bank Python jobs in Indiana look for?

The top searched job categories for Bank Python jobs in Indiana are:

What cities in Indiana are hiring for Bank Python jobs?

Cities in Indiana with the most Bank Python job openings:

Bank Python jobs near you

Quantitative Modeling and Research Analyst (II or Senior)

Indianapolis, IN • On-site

Federal Home Loan Bank of Indianapolis
Commercial Banking • 201 - 500 employees
Learn more about Federal Home Loan Bank of Indianapolisexternal

$93K - $110K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

FHLBank Indianapolis is a financial institution that provides liquidity and support to banks, credit unions, community development financial institutions and insurers in Indiana and Michigan, with a focus on affordable housing and community development.

About the Role

The Senior Quantitative Modeling/Research Analyst is responsible for developing, maintaining, and operating financial models across the organization within the Modeling & Analytics Group of the Enterprise Risk Management department.

Responsibilities
  • Implement, test, and operate a diverse range of models for loan valuation, pledged collateral hair‑cut, probability of default, and loss estimation.
  • Utilize statistical and computational techniques to evaluate, calibrate, and tune credit and market risk models.
  • Establish and maintain model documentation covering theory, settings, assumptions, change control, performance monitoring, and user guides in coordination with Model Risk Management and regulatory advisory bulletins.
  • Explain model details, theory, assumptions, and settings to model users and other stakeholders across the organization.
  • Support model validation requests and address findings or recommendations.
  • Interact directly with model validators and regulators regarding model settings, assumptions, and implementation.
  • Lead the process to develop required model enhancements.
  • Stay current on methodologies, mathematical, analytical, and computational techniques related to model management and development.
Competencies
  • Business Analytics Knowledge
  • Research Knowledge
  • Quantitative Implementation Knowledge
  • General Maintaining Institutional Knowledge
  • Results‑driven
  • Time Management
  • People Communication
  • Interpersonal Skills
Position Requirements
  • Graduate degree in Mathematics, Quantitative Analysis, Statistics, Operations Research, Financial Engineering, or a related quantitative field (Master or PhD preferred).
  • CFA or/and FRM certifications are a plus.
  • Preferred 3+ years of experience in quantitative research, risk management, or related work.
  • Model development experience strongly preferred.
  • Experience in commonly used programming languages such as Python or C/C++.
  • Experience with Asset/Liability and valuation software models (e.g., Polypaths, QRM) is a plus.
  • Experience with database management concepts and tools such as SQL is a plus.
  • Attention to detail, ability to multi‑task, and a high degree of initiative and independence.
  • Verbal, written, and interpersonal skills to communicate effectively with all levels of bank personnel.
  • Must not have been convicted of any civil or criminal charge that would suggest a risk to bank security.
  • Ability to work full‑time and uphold the bank’s Guiding Principles.
Hiring Range

$93,000 - $110,000 (base salary; not inclusive of incentive awards, retirement benefits, or ancillary benefits).

Benefits
  • Hybrid workforce model: onsite three days a week, two days remote, with remote flex days available.
  • Competitive pay and total rewards.
  • Industry‑high 401(k) match: up to 6% plus an additional 4% contribution.
  • Tuition reimbursement assistance.
  • Student loan repayment assistance.
  • Medical, dental, vision, and pet insurance.
  • Generous time off: vacation, paid federal holidays, birthday month floating holiday, volunteer day, and summer hour program.
  • “Dress for your day” dress code: choose the appropriate work attire based on your schedule.
Equal Opportunity Employment

FHLBank Indianapolis is an Equal Opportunity Employer. The bank is committed to recruiting, hiring, developing, and retaining a diverse workforce by providing an environment that enables success for all employees.

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