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Bank Python Jobs in Michigan (NOW HIRING)

Senior Software Engineer I

Detroit, MI · Remote

$121K - $159K/yr

Build product capabilities that help bankers prioritize the right clients, take the right actions ... Strong experience building production software using languages such as C#, Java, Python, JavaScript ...

Showing results 41-45

Bank Python information

See Michigan salary details

$11

$51

$75

How much do bank python jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for bank python in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 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?

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 cities in Michigan are hiring for Bank Python jobs? Cities in Michigan with the most Bank Python job openings:

Senior Data Analyst, Financial Analytics

Rocket Limited Partnership

Detroit, MI • On-site

$84K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

As a Senior Data Analyst embedded within the Finance organization, you will serve as a primary analytical resource for executive leadership. You will translate complex financial and operational data into clear, decision-grade analysis that drives how the organization understands its revenue trajectory, manages intra-quarter performance, and sets expectations with its most senior stakeholders. This role sits at the intersection of finance & analytics, requiring both the strategic judgment to influence high-stakes decisions and the technical depth to build the infrastructure that makes rigorous analysis possible.
About the role
  • Support forecasting of Rocket's mortgage production & revenue across all channels, contributing analytical work across long-range forecasts, quarterly outlooks, and regular updates that reflect the latest business trends and macroeconomic conditions; this work reaches the most senior levels of the organization and is central to how the business sets and communicates expectations
  • Own intra-quarter pacing analysis, monitoring revenue, and EPS performance relative to targets throughout the quarter, identifying risks and opportunities early, and providing actionable insight to finance leadership on how to close gaps or capitalize on upside
  • Identify and execute opportunities to automate existing financial reporting processes, reducing manual effort and improving consistency and reliability of recurring deliverables
  • Build and maintain enterprise-level P&L models, including active development of a loan-level P&L integrated with Snowflake
  • Develop and maintain production goal-setting models for sales, translating financial targets into associated operational goals
  • Support quarterly earnings preparation by providing data, trend analysis, and analytical context to the Investor Relations (IR) team; partner with IR and finance leadership to help shape the narrative for prepared remarks based on observed business performance
  • Contribute to the buildout of finance data infrastructure on Snowflake, including integration of AI-assisted workflows to streamline financial analysis and reporting
  • Partner with engineering to integrate finance source systems into Snowflake and establish a scalable, finance-owned data foundation
  • Create and maintain reporting tools, dashboards, and automated data pipelines in Power BI, SQL, and Excel that serve both recurring reporting needs and ad hoc analytical requests
  • Proactively surface trends, anomalies, and business opportunities through data analysis, and bring findings to finance and executive leadership with clear recommendations
  • Define, validate, and document data requirements and quality standards for finance data sources
  • Serve as a technical resource and mentor within the Finance analytics team

About you
Minimum Qualifications
  • Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field
  • 4+ years of experience in data analysis, financial analysis, or a closely related discipline, with demonstrated impact on business decisions
  • Advanced SQL proficiency; experience building and maintaining complex queries against enterprise data warehouses
  • Strong working knowledge of Power BI or comparable BI platforms, with experience developing production-grade dashboards and reports
  • Advanced Excel skills, including financial modeling, scenario analysis, and large dataset handling
  • Experience with Python, R, or comparable scripting tools for data manipulation and analysis
  • Demonstrated ability to communicate analytical findings clearly to senior, non-technical stakeholders - including written narrative, verbal presentation, and data visualization
  • Experience producing forecasts or performance analysis consumed by C-suite or senior executive audiences
  • Experience in financial reporting, revenue analysis, forecasting, P&L construction, or a comparably rigorous quantitative discipline
  • Strong judgment in balancing speed and accuracy when operating under reporting deadlines

Preferred Qualifications
  • Experience working with or transitioning data to cloud platforms such as Snowflake, Azure, or similar
  • Familiarity with mortgage banking, consumer lending, or financial services data and business models
  • Experience designing or contributing to data warehouse schemas for finance or accounting use cases
  • Exposure to capital markets, fixed income, or loan-level financial analysis
  • Experience with AI-assisted tooling or workflow automation in an analytical or finance context
  • Experience supporting earnings preparation or working alongside an Investor Relations function
  • Experience mentoring analysts or contributing to team standards and documentation

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $80,000.00-$183,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.