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Python Financial Jobs in Michigan (NOW HIRING)

Faurecia

Senior FP&A Analyst

Auburn Hills, MI · On-site

$80K - $100K/yr

The role of a senior FP&A analyst is to support financial planning, consolidation, and performance ... Utilize tools such as SQL, Python, Palantir, Power BI, or similar to build scalable reporting and ...

Faurecia

Senior FP&A Analyst

Auburn Hills, MI · On-site

$80K - $100K/yr

Utilize tools such as SQL, Python, Palantir, Power BI, or similar to build scalable reporting and ... Provide financial visibility and insights to support decision-making across functions.

Ford Motor Company

Financial Analyst

Sterling Heights, MI · On-site

$99K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Experience with modern finance technology stacks such as Alteryx, Power BI, PowerApps, Python, or Google Cloud Platform - with an appetite to expand automation and analytics capabilities across the ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

... Python to support our enterprise analytics architecture. You will work across platforms such as ... Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance ...

Rock Connections

Senior Data Analyst, Financial Analytics

Detroit, MI · On-site

$84K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with Python, R, or comparable scripting tools for data manipulation and analysis ... Experience in financial reporting, revenue analysis, forecasting, P&L construction, or a comparably ...

CFS

FP&A Operations Manager

Kentwood, MI · On-site

Power BI, Power Query, SQL, or Python are pluses #INJUN2026 #LI-MS4 #ZRCFS FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A ...

Haworth, Inc.

Senior Finance Systems Analyst

Holland, MI · On-site

$79K - $99K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial systems, ERP systems, business analytics, data analysis, process improvement, or ... Python automation experience. * Experience with integrated ERP systems. Design your future with ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ ... Python experience. * Experience building LLM-powered features. Benefits * Comprehensive health ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ ... Python experience. * Experience building LLM-powered features. Benefits * Comprehensive health ...

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All JobsPython Financial JobsPython Financial Jobs in Michigan

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 the most commonly searched types of Python Financial jobs in Michigan?

The most popular types of Python Financial jobs in Michigan are:

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

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

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

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

Python Financial jobs near you
Infographic showing various Python Financial job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 29 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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