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Phd In Finance Jobs (NOW HIRING)

Minimum of 5 years of relevant work experience with a bachelor's degree, or at least 4 years with an advanced degree (e.g., MBA, Master's), or 1 year with a PhD. * Proven experience in financial ...

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How much do phd in finance jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for phd in finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 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.
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Infographic showing various Phd In Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Senior Investment Associate

San Francisco, CA • On-site

Other

Posted 4 days ago


Job description

  • Conduct market research, competitive analysis, and due diligence on biotechnology-sector investment opportunities using AI-driven insights
  • Build, update, and maintain financial models to evaluate potential investments, incorporating AI techniques where applicable
  • Collaborate with senior investment professionals, data scientists, and software engineers to integrate AI and analytics into investment processes
  • Contribute to predictive algorithms and AI models that inform investment strategies and improve portfolio performance
  • Prepare and present investment recommendations, detailed reports, and findings to senior leadership and investment committees
  • Establish and maintain relationships with industry experts, portfolio companies, and key opinion leaders
  • Monitor industry trends, regulatory changes, and technological advancements relevant to biotechnology and AI in finance
Requirements
  • Advanced degree (PhD) in Biology or a related life sciences field required
  • 2-5 years of relevant work experience in venture capital, investment banking, or buy or sell side public investment research, with a focus on biotechnology (ideally therapeutics) preferred
  • Familiarity with data analysis, machine learning, and AI applications in finance and/or biotechnology
  • Basic programming skills in Python or similar languages are a plus
  • Strong understanding of financial modeling, valuation techniques, and investment analysis
  • Excellent verbal and written communication skills
  • Exceptional analytical and problem-solving abilities
  • Attention to detail and a proactive approach to identifying opportunities
  • Strong interpersonal skills and ability to collaborate effectively in a fast-paced, team-oriented environment
  • Passion for learning and staying ahead of industry developments, particularly in AI and biotechnology
Core Competencies

Expertise in conducting market research and competitive analysis in the biotechnology sector, with a strong focus on integrating AI-driven insights into financial modeling and investment strategies. Proven ability to collaborate with cross-functional teams and present detailed investment recommendations to senior leadership.

Highest-signal resume keywords
  • PhD In Biology Or Related Life Sciences
  • Financial Modeling And Valuation Techniques
  • Data Analysis And Machine Learning
  • AI Applications In Finance And Biotechnology
  • Investment Banking Or Venture Capital Experience
Hard Skills
  • Financial Modeling
  • Valuation Techniques
  • Data Analysis
  • Machine Learning
  • AI Applications
  • Python Programming
  • Investment Analysis
  • Predictive Algorithms
  • Due Diligence
  • Competitive Analysis
Soft Skills
  • Excellent Communication Skills
  • Analytical And Problem-Solving Abilities
  • Attention To Detail
  • Interpersonal Skills
  • Proactive Approach
Industry Keywords
  • Biotechnology
  • Investment Research
  • Venture Capital
  • Therapeutics
  • AI In Finance
  • Portfolio Performance
  • Industry Trends
  • Regulatory Changes
  • Key Opinion Leaders
  • Fast-Paced Team Environment
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