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Phd In Finance Jobs in Warren, MI (NOW HIRING)

Master of Science or PhD in Mechanical Engineering, Electrical Engineering, Electrical Computer ... Financial Services. Together, we work as one team towards our envisioned future - building a ...

Advanced degree (MS or PhD) in Computer Science, Data Science, Engineering, Operations Research, or ... Measurable financial impact on operational performance through stakeholder engagement and ...

This hospital has grown in size and capabilities over the decades to become a Level II trauma ... N., or DNP/PhD - if not minimum BSN prepared, new graduate/nurse with less than one (1) year ...

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Phd In Finance information

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How much do phd in finance jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for phd in finance in Warren, MI is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.44 per hour, depending on experience, location, and employer.

What is a PhD in Finance?

A PhD in Finance is a doctoral degree focused on advanced research in financial theory, markets, and quantitative methods. It prepares graduates for careers in academia, research institutions, and high-level industry positions, such as quantitative analysts or policy advisors. The program typically involves coursework in economics, econometrics, and finance, followed by original research culminating in a dissertation. Students develop strong analytical, mathematical, and research skills, making them experts in their field.

What are the key skills and qualifications needed to thrive as a PhD in Finance?

To thrive as a PhD in Finance, you need advanced quantitative analysis skills, deep knowledge of financial theory, and a strong academic background, typically with a doctorate in finance or a related field. Expertise in statistical software (such as Stata, R, or Python), econometric modeling, and familiarity with academic publishing standards are essential. Strong critical thinking, presentation abilities, and collaboration skills help you communicate complex research and work effectively with peers. These competencies are crucial for producing impactful research, teaching effectively, and contributing to both academic and industry advancements.

What types of career paths are available to someone with a PhD in Finance?

A PhD in Finance opens doors to a variety of career paths, including academia, research roles in think tanks, quantitative analysis positions in financial institutions, and policy advisory roles in government agencies. Many graduates pursue tenure-track professorships, where they balance teaching with conducting original research. Others join investment banks, hedge funds, or consulting firms, leveraging their advanced analytical skills to solve complex financial problems. The role often involves collaboration with professionals from economics, statistics, and data science, offering a dynamic and intellectually stimulating work environment.

How much does a PhD in finance make?

A PhD in finance typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience. Academic positions may offer lower salaries initially but can increase with tenure, while industry roles in finance or consulting tend to pay higher starting salaries. Advanced research skills and knowledge of financial modeling are often required for higher-paying roles.

Is it worth getting a PhD in finance?

A PhD in finance prepares individuals for academic, research, and high-level analytical roles in finance, often requiring strong quantitative skills and familiarity with tools like statistical software. It can lead to careers in academia, research institutions, or specialized industry positions, but it typically involves several years of study and may not be necessary for most finance jobs. The decision depends on career goals and interest in research or teaching roles.

What can I do with a PhD in finance?

A PhD in finance prepares individuals for careers in academia, research, and high-level analytical roles in finance firms, consulting, or government agencies. Graduates often work as university professors, financial analysts, quantitative researchers, or policy advisors, utilizing advanced statistical, mathematical, and economic skills. The degree also enables roles that require deep expertise in financial modeling, risk management, and data analysis.

What are popular job titles related to Phd In Finance jobs in Warren, MI?

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What cities near Warren, MI are hiring for Phd In Finance jobs?

Cities near Warren, MI with the most Phd In Finance job openings:

Infographic showing various Phd In Finance job openings in Warren, MI as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $39,849 per year, or $19.2 per hour.

Senior Analyst, Remarketing Analytics

Auburn Hills, MI • On-site


Stellantis Financial Services

8.3

Company rating: 8.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Paid breaks


$83K - $110K/yr

Full-time

Re-posted 6 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.



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