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Python Financial Jobs in Michigan (NOW HIRING)

... passion for financial markets and technology, the early roots of Squirl started out as an ... Significant experience with following test-driven development to create software in Python using ...

... passion for financial markets and technology, the early roots of Squirl started out as an ... Significant experience with following test-driven development to create software in Python using ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint * Ability to design and ...

... Python - Slash, Testrail, Jenkins, Jira, Test Automation Framework using Python Experience ... markets, including financial services, manufacturing, telecommunications, chemical services ...

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Python Financial information

What are some common projects or tasks Python Financial professionals work on in a typical week?

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 is a Python Financial job?

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 are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

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.

What are the most commonly searched types of Python Financial jobs in Michigan? The most popular types of Python Financial jobs in Michigan are:
Senior Analyst, Remarketing Analytics

Senior Analyst, Remarketing Analytics

Stellantis Financial Services US

Auburn Hills, MI • On-site

$83K - $110K/yr

Other

Posted 13 days ago


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citron, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:
The Senior Analyst, Remarketing Analytics is responsible for delivering advanced, data-driven insights
across the remarketing lifecycle to optimize asset performance and maximize returns. This role partners
cross-functionally to analyze key initiatives, identify trends and opportunities, and influence strategic
decision-making through clear and compelling storytelling. The Senior Analyst develops scalable
analytics solutions, enhances reporting capabilities, and serves as a subject matter expert to elevate team
performance and ensure data integrity.

Essential Duties and Responsibilities:

  • Deliver advanced analytics across the remarketing lifecycle, driving projects from problem

  • definition through modeling and insight generation to optimize proceeds, cycle time, and channel performance.

  • Monitor remarketing performance, identifying trends, risks, and opportunities and translating them into actionable insights.

  • Lead and support strategic initiatives and testing, partnering cross-functionally to design analyses, define success metrics, and evaluate outcomes.

  • Translate complex data into clear, actionable insights, tailoring communication for stakeholders, including senior leadership.

  • Develop and maintain scalable analytics solutions, automating reporting and standardizing data, metrics, and business rules.

  • Build and manage dashboards and scorecards, providing visibility into key remarketing KPIs and performance trends.

  • Serve as a subject matter expert in remarketing analytics, promoting best practices in analysis, data governance, and data quality.

  • Mentor and support junior analysts, enhancing team analytics capability and effective storytelling.

  • Collaborate cross-functionally to align data definitions, resolve discrepancies, and ensure actionable, business-aligned insights.

  • Perform other duties as assigned.

Qualifications and Competencies Required


Required Experience:

  • Minimum of five (5) years of experience in analytics, preferably in auto finance, automotive, or arelated industry

  • Advanced proficiency with SQL, Fabric, Python, R, or other business intelligence software.

  • Advanced proficiency with Microsoft Office Suite applications such as Excel, PowerPoint, Word,and Power BI.

  • Experience with data visualization tools (e.g., Tableau, Power BI)

  • Experience working with modern data platforms (e.g., Snowflake, Fabric)

  • Strong analytical thinking and problem-solving skills

  • Ability to translate data into business insights and influence decision-making.

  • Proven ability to manage multiple priorities and work independently.

Education:

  • Bachelors Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Qualifications Preferred:

  • Masters Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields is a plus

  • Familiarity with Salesforce workflows and experience creating Salesforce reports and dashboards

  • Prior Auto finance or captive finance industry is highly preferred

Additional Requirements:

  • Must have reliable transportation and live within a commutable distance to one of the following cities: Auburn Hills, MI, Dallas, TX or Atlanta, GA

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule: This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed. Travel is required 0% - 10% of the time.

An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.