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Bank Python Jobs in Georgia (NOW HIRING)

Big Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... banking, finance, manufacturing, publishing and consumer products. Position: Big Data Architect ... Atlanta, GA, 30305 Must have extensive experience with Hadoop, Spark, and Python! Great ...

Azure Cloud Engineer

Atlanta, GA · On-site

$53 - $70.75/hr

Implement security controls for cloud-based systems and adhere to banking regulations and ... Proficiency in programming languages like Python, Java, or Scala, along with robust scripting ...

Java Developer

Alpharetta, GA

$49.75 - $64.50/hr

Proficiency in Shell/Unix, Perl/python is required. * Good problem-solving skills, Analytical, Self ... Knowledge of Banking or Financial industry project experience is valuable.

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

... Python and Snowflakes SnowSQL Writing SQL queries against Snowflake. • Understanding data ... banking is a nice to have Job Requirements

$48.75 - $62.25/hr

Banking \n \n \n * Duration: 6 Months \n * \n \n Location: Dublin (Remote) \n \n \n \n \n \n \n ... Understanding of Python Frameworks \n * Full Stack experience \n \n \n \n \n \n

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Bank Python information

See Georgia salary details

$11

$49

$72

How much do bank python jobs pay per hour?

As of May 29, 2026, the average hourly pay for bank python in Georgia is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $56.20 per hour, depending on experience, location, and employer.

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.

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 cities in Georgia are hiring for Bank Python jobs? Cities in Georgia with the most Bank Python job openings:
Analytics Lead - Mortgage Default & Loss Mitigation

Analytics Lead - Mortgage Default & Loss Mitigation

U.S. Bank

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 344 frontline employees who took The Breakroom Quiz

37th of 141 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
Job Description
At U.S. Bank, we are committed to helping customers and businesses make smarter financial decisions while enabling meaningful growth across our organization. We are seeking an experienced Analytic Enabler Lead to support our Mortgage Default Analytics and Loss Mitigation within the Data Visualization & Production Reporting (DVPR) organization. This role serves as a strategic partner across business stakeholders, servicing operations, risk management, and analytics teams to drive data-informed decision-making across mortgage default servicing. The ideal candidate brings strong analytical leadership, deep mortgage servicing expertise, and the ability to enable scalable, enterprise analytics capabilities.
The Analytic Enabler Lead will help shape and execute analytics strategies across core default servicing domains, including: Customer and portfolio performance (delinquency trends, portfolio risk), loss mitigation and foreclosure prevention (program design, workout effectiveness) along with Operational and regulatory performance (servicing execution, investor and regulatory reporting).
This role requires working from one of the posted U.S. Bank locations three (3) or more days per week and does not support visa sponsorship.
Key Responsibilities
  • Lead analytics enablement for Mortgage Default and Loss Mitigation, shaping scalable, insight-driven capabilities across servicing operations
  • Mentor analysts and cross-functional partners on advanced analytics practices, self-service BI, and data literacy
  • Serve as a strategic partner across servicing, compliance, risk, finance, and technology to prioritize high-impact analytics use cases
  • Translate business needs into data products, leveraging tools such as Power BI, Databricks, SQL, Python, and Azure-based data platforms
  • Design and drive adoption of KPIs, OKRs, dashboards, and performance frameworks (e.g., balanced scorecards, leading/lagging indicators)
  • Establish and enforce data governance, lineage, and quality controls aligned to enterprise data management standards
  • Deliver portfolio insights using core mortgage analytics concepts, including delinquency curves, roll rates, cure rates, modification performance, liquidation timelines, and severity analysis
  • Partner with data engineering and BI teams to modernize data pipelines and enable scalable access through data lakes, semantic models, and automated reporting workflows
  • Develop executive-level reporting and storytelling that translates complex analysis into clear, actionable decisions
  • Identify operational inefficiencies using root cause analysis, process mining, and variance analysis, and recommend data-driven improvements
  • Ensure analytics and reporting align with regulatory, investor (FNMA/FHLMC/Ginnie Mae), and internal governance frameworks

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Eight or more years of data analysis experience with large data sets
Preferred Skills/Experience
- Experience in SQL/WebFOCUS or other BI tool for querying data and for data manipulation/transformation
- Experience in financial services, with thorough knowledge of HR systems or financial services products, customers, transactions and interaction data
- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret results for insights
- Ability to data mine, analyze data, and present insights in a meaningful way
- Ability to develop and maintain strategic partnership with Senior Business unit management, business partners and project sponsors, as well as communicate effectively with business, and development teams, end users, and product owners
- Strong decision-making and problem-solving skills
- Strong organization and project management skills
- Effective interpersonal, verbal and written communication skills
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $126,820.00 - $149,200.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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