1

Bank Python Jobs in Kentucky (NOW HIRING)

This role owns that layer: the integrations that pull credit and bank transaction data from providers like Experian and Plaid, and the Python services that deliver it to the systems driving risk ...

New

$103K - $126K/yr

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Java|Web Services-REST ... Financial Services, Regulatory Reporting, or Banking domain experience Additional Required ...

$82K - $126K/yr

... banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make ... Experience in Python programming, * Experience with OOPS concepts and Rest API Preferred Skill and ...

At Bank of America, we are guided by a common purpose to help make financial lives better through ... Proficiency in Python scripting for data extraction, transformation, reporting, and process ...

$113K - $170K/yr

Senior Python Application Developer** with **9+ years of hands-on experience** to design, develop ... Experience with banking domain (pricing, risk), CFA/FRM certification.**Education:*** Bachelor ...

... banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make ... Strong programming skills in Python and Java. * Hands-on experience with LangChain, LangGraph ...

... banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make ... Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience in ...

... banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

$142K - $213K/yr

We are seeking a Senior Python Developer within Risk Technology to join a multi-year strategic ... Familiarity with the model risk regulatory landscape and governance expectations in banking.

... and Python, and collaborates with team members to deliver high-quality software solutions. Completes work following banking technology standards and contributes to the overall stability and ...

New

Gen AI Developer/Lead

Frankfort, KY Β· On-site

$121K - $149K/yr

... Python, PySpark, Azure Machine Learning, Generative AI, and Full Stack Development to design and deliver advanced analytics and AI-driven solutions for global investment banking and brokerage ...

New

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... Python) and workflow automation. * Deep understanding of public oil & gas datasets (Enverus, IHS ...

$36.75 - $50.50/hr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Python, Ansible, Terraform, Shell scripting, and APIs** to streamline database operations.

... banking, financial services, or risk/compliance domain with hands‑on exposure to financial risk concepts. * Advanced proficiency in Python and demonstrated expertise building multi‑step AI ...

NET/ Python and SQL * Hands-on experience with AWS architecture and services (Glue, Lambda, API ... Prior experience working in the Asset Management, Investment Banking or Wealth Management

New

... the bank's strategic objectives. Qualifications: * Bachelor's degree in Computer Science ... Expertise in programming languages such as Python, Java, or Scala. * Solid understanding of data ...

$92K - $109K/yr

Experience with Excel, AI, Python, or other technology tools helpful but not required. Location Expectations This role requires working from a U.S. Bank location three (3) or more days per week. If ...

$186K/yr

... React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark ... The Bank Retail Money Management team is focused on helping customers improve their financial ...

$42 - $55.75/hr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Proficiency with Python, PowerShell, Shell Scripting, and automation frameworks for operational ...

New

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Additional experience with other programming languages such as Visual Basic and/or Python. Job ...

next page

Showing results 1-20

Bank Python information

See Kentucky salary details

$11

$50

$74

How much do bank python jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for bank python in Kentucky is $50.91, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $57.84 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 Kentucky?

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

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

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

What cities in Kentucky are hiring for Bank Python jobs?

Cities in Kentucky with the most Bank Python job openings:

Pomona College
Colleges, Universities, and Professional SchoolsΒ β€’Β 501 - 1,000 employees

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

and the job listing Expires on September 11, 2026

Title: Python Engineer, Financial Data Platform & Integrations

Location: Remote (U.S. preferred), with East Coast hours overlap

Employment Type: Contractor (ongoing), with a path to full-time employment

About Cardiff

Cardiff lends to small businesses. Since 2004 we’ve funded more than $12 billion across the country, to businesses in logistics, healthcare, construction, professional services, and plenty in between. We’re building our own underwriting technology, and we still answer the phone; our customers need capital fast, and they want a straight answer from a person who can actually help.

Why This Role Matters

Cardiff’s underwriting decisions are only as good as the data behind them. This role owns that layer: the integrations that pull credit and bank transaction data from providers like Experian and Plaid, and the Python services that deliver it to the systems driving risk decisions. We’re pushing funding turnaround from 24 business hours toward minutes, and that only works if the data underneath is fast, reliable, and compliant. As we expand ML-based decisioning and LLM-based workflows, this layer sets the pace for everything built on top of it.

The Role

This is a Python backend engineering role focused on financial data integration. You’ll build and maintain the FastAPI services that deliver financial and credit data to Cardiff’s internal systems, along with the provider integrations and AWS pipelines that feed them. You’ll work as an individual contributor on Cardiff’s technology team, alongside the Lead AI Architect and engineers covering full-stack, UI, and operations, with access to our AI platform from day one and real ownership over how you get the work done. The role starts as an ongoing contract with a clear path to full-time; we begin with a contract so both sides can evaluate fit through real work, and your scope will grow as you show you can carry more.

What Success Looks Like

In your first 90 days, you will:

  • Ship at least one production integration with a financial or credit data provider (Experian, Plaid, or a bank transaction source) end to end
  • Implement automated validation and quality checks across the pipelines you own, so failures surface before they reach downstream consumers
  • Ship or materially extend a FastAPI service that exposes provider data internally, with tests and documentation another engineer can pick up cold
  • Deliver a documented data model and schema mapping for at least one provider domain, built alongside our domain experts and analysts
  • Demonstrate one LLM-assisted extraction workflow on unstructured input (bank statements, credit memos), with output validation in place

By the end of your first year:

  • The financial data layer is Cardiff’s system of record: accurate, current, and complete enough that underwriting, risk, and operations decide on it with confidence
  • Adding or replacing a data provider is a well-worn path rather than a project; the business can move on partnerships without waiting on engineering
  • Compliance is a property of how the systems are built, not a scramble ahead of each review

What You’ll Do

  • Design, build, and run the FastAPI services that expose financial and credit data to internal consumers: API design, auth, versioning, pagination, and clear error handling
  • Own the integration layer with external providers (Experian, Plaid, bank transaction sources): retries, backoff, rate limiting, credential handling, and graceful degradation when a provider slows down or goes dark
  • Build the pipelines that land provider data in Cardiff’s systems, including Snowflake, using serverless ETL on AWS (Glue, Athena, Step Functions, S3 data lakes), supporting both batch and near-real-time ingestion
  • Do the data modeling and schema mapping that keeps disparate provider formats semantically consistent, working with our domain experts and analysts
  • Build integrations that meet Cardiff’s security, privacy, and regulatory obligations, with Legal, Compliance, and Security owning final interpretation and sign-off
  • Apply LLM APIs for extraction and classification of unstructured documents where it earns its keep, with model outputs validated before they enter the pipeline
  • Make AI tooling part of how you build, and read what it produces before it ships
  • Maintain the unit tests, integration tests, and documentation for every component you own

What We’re Looking For

  • 5+ years of Python backend engineering on data-intensive systems, with the emphasis on recent, demonstrable work
  • Production backend services built and operated in a modern Python framework (FastAPI preferred; Flask or Django fine), including API design, auth, testing, and async programming
  • Reliable third-party API integration (retries, idempotency, rate limits, partial failures, observability), ideally against financial APIs from credit bureaus, banks, or payment processors
  • Substantial hands-on Snowflake experience in production: loading, modeling, and large-scale querying
  • AWS data services for pipeline orchestration (Glue, Athena, S3, Step Functions, Lambda), including data lake layouts and partitioning that keep querying cost-efficient
  • Strong data modeling, schema alignment, and transformation instincts
  • A working grasp of API authentication, encryption, and the compliance requirements that come with regulated financial data
  • Proficiency in SQL and Pandas

Nice to have:

  • Credit decisioning, loan underwriting, or financial risk data experience
  • LLM APIs (Claude, OpenAI, or equivalent) applied to extraction, classification, or summarization, plus the applied-LLM toolkit: prompt design, evals, output validation, RAG and embeddings
  • AI-assisted development tools (Claude Code, Cursor, Codex, Devin) as a primary mode of building

Who Does Well Here

You ship: a working v1 today beats a polished v1 next month. You sweat data correctness, because bad data that looks fine is the most expensive failure in a lending business. You treat AI tooling as a force multiplier, and you know when to trust the output and when to override it. You work independently and communicate proactively; when something is blocked, you say so the same day.

This Role May Not Be a Fit If You

  • Prefer structured corporate environments with clear lanes
  • Want detailed direction before you start
  • Would rather maintain systems than build them
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and observed holidays
  • Remote-first, with support for your home-office setup

Cardiff, Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.

#J-18808-Ljbffr