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Phd In Finance Jobs in Schenectady, NY (NOW HIRING)

Globalfoundries

Quantum Program PMO

Malta, NY

$143K - $247K/yr

Preferred Qualifications Advanced degree (MS or PhD) in a relevant technical discipline. MBA or formal training in finance or business management. Experience with emerging or non-traditional ...

Globalfoundries

Quantum Program PMO

Malta, NY · On-site

$118K - $210K/yr

Preferred Qualifications Advanced degree (MS or PhD) in a relevant technical discipline. MBA or formal training in finance or business management. Experience with emerging or non-traditional ...

SI Group

Director, R&D, NA

Schenectady, NY · On-site

PhD in Chemistry preferred * Minimum of 10 years' of experience in specialty chemicals * Minimum of ... Financial Wellness opportunities including company paid life insurance and disability plans, 401(k) ...

SI Group

Director, R&D, NA

Schenectady, NY · On-site

PhD in Chemistry preferred * Minimum of 10 years' of experience in specialty chemicals * Minimum of ... Financial Wellness opportunities including company paid life insurance and disability plans, 401(k) ...

Kitware

Computer Vision Researcher

Clifton Park, NY · On-site

$125K - $170K/yr

PhD in Computer Science or related field * Strong publication record in top-tier research ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Computational Imaging Researcher

Clifton Park, NY

$107K - $127K/yr

PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Technical Leader of AI

Clifton Park, NY

PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Technical Leader of AI

Clifton Park, NY

$140K - $215K/yr

PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Technical Leader of AI

Clifton Park, NY · On-site

$140K - $215K/yr

PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

PsiQuantum

Senior Foundry Test Engineer

Albany, NY · On-site

Experience/Qualifications: * BS minimum, PhD preferred. * 5+ years of experience in: * Wafer level ... to financial wellness tools and planning resources, wellness benefits, family support programs ...

PsiQuantum

Senior Foundry Test Engineer

Albany, NY · On-site

Experience/Qualifications: * BS minimum, PhD preferred. * 5+ years of experience in: * Wafer level ... to financial wellness tools and planning resources, wellness benefits, family support programs ...

PsiQuantum

Senior Foundry Test Engineer

Albany, NY

Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials ... Experience/Qualifications: * BS minimum, PhD preferred. * 5+ years of experience in: * Wafer level ...

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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 Schenectady, NY is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.12 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 job categories do people searching Phd In Finance jobs in Schenectady, NY look for?

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What cities near Schenectady, NY are hiring for Phd In Finance jobs?

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Phd In Finance jobs near you
Infographic showing various Phd In Finance job openings in Schenectady, NY as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $41,050 per year, or $19.7 per hour.

Quantitative Researcher (Full-Time - PhD+)

Radix Trading University Job Board

Amsterdam, NY

Full-time

Re-posted 27 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
By working on a variety of projects with different collaborators over the start of your career, you'll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you'll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia - not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
COMPENSATION - Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
Qualifications
We're looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you'll need the following qualities:

  • Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

  • Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
  • Demonstrates strong "hacking" ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
    • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
  • Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
  • Experience in setup of research framework and execution of projects
  • Understanding of financial products, market dynamics, and microstructure
  • Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language 

Apply