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Python Financial Jobs in Kentucky (NOW HIRING)

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 ...

New

$103K - $126K/yr

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Java|Web Services-REST ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... Security Automation Engineer (Python) | About You As a Security Automation Engineer (Python), you ...

$82K - $126K/yr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Experience in Python programming, * Experience with OOPS concepts and Rest API Preferred Skill and ...

$125K - $155K/yr

About BrightPlan BrightPlan is a leader in Total Financial Wellness. We provide a comprehensive ... You will combine Python development, prompt design, and structured data work to deliver user-facing ...

Lead backend development efforts using Python (Flask) and Postgres, with a focus on scalability, performance, and maintainability. Design and evolve data models as the application transitions into a ...

$37 - $51/hr

We work across industries--including Finance, Business Services, Healthcare, Manufacturing ... What You'll Work On You'll build and extend Python 3.12 projects across a range of internal and ...

$89K - $120K/yr

Senior Python Developer, Oracle & Relational Databases Available for the following offices:Houston ... Experience working with financial systems, accounting systems, energy, oil and gas, or enterprise ...

This role sits at the intersection of technology, financial operations, and treasury workflows ... An ideal candidate brings strong Python and SQL fundamentals, a positive attitude, a passion for ...

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 ... finance and risk domains.**Key Technical Responsibilities:*** Lead hands-on implementation and ...

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Strong programming skills in Python and Java. * Hands-on experience with LangChain, LangGraph ...

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

Overview The Infosys Financial Services unit is a global leader in driving digital transformation ... Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience in ...

Lead the development efforts for our FP&A Cost Attribution Project * Serve as lead developer for ... Python * Strong SQL skills and relational database design experience; direct experience with ...

$112K - $257K/yr

Python Software Engineer, Senior The Opportunity: Performs implementation, regular problem solving ... Compensation * health, life, disability, financial, and retirement benefits, as well as paid leave ...

South Geeks is hiring a remote candidate for Senior Fullstack Engineer (Python + JS). This is a ... financial inclusion, and make financial services more human-centered. Their solution helps ...

$142K - $213K/yr

We are seeking a Senior Python Developer within Risk Technology to join a multi-year strategic ... Background in quantitative finance, statistics, or data science; an advanced quantitative degree is ...

$80K - $95K/yr

This role supports financial and operational decision-making through accurate reporting, variance ... Power BI, Python, SQL, Salesforce, and other analytics platforms are not used for this work. What ...

$164K - $224K/yr

Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL ... finance and analytics use cases * BS, MS, or PhD in a quantitative field such as Quantitative ...

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Python Financial information

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are popular job titles related to Python Financial jobs in Kentucky?

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

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

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

Infographic showing various Python Financial job openings in Kentucky as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Pomona College
Colleges, Universities, and Professional Schools • 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.

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