... finance, statistics, machine learning, and computer science. Application Instructions Applicants should submit an application cover letter, a current CV, a current research paper, a research ...
... finance, statistics, machine learning, and computer science. Application Instructions Applicants should submit an application cover letter, a current CV, a current research paper, a research ...
... finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the ...
... finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the ...
Bus Analytics Mgr Sr
Pittsburgh, PA · On-site
... machine learning, and AI-enabled solutions that improve decision quality and operational ... Qualifications: • Bachelor's degree in Business, Finance, Economics, Statistics, or related field ...
Bus Analytics Mgr Sr
Pittsburgh, PA · On-site
... machine learning, and AI-enabled solutions that improve decision quality and operational ... Qualifications: • Bachelor's degree in Business, Finance, Economics, Statistics, or related field ...
Bus Analytics Mgr Sr
Pittsburgh, PA · On-site
Leverage advanced analytics, machine learning, and AI-enabled insights to identify emerging risks ... Bachelor's degree in Business, Finance, Economics, Statistics, or related field. Advanced ...
Bus Analytics Mgr Sr
Pittsburgh, PA · On-site
Leverage advanced analytics, machine learning, and AI-enabled insights to identify emerging risks ... Bachelor's degree in Business, Finance, Economics, Statistics, or related field. Advanced ...
Senior AI Engineer - SFL Scientific
Pittsburgh, PA · On-site
$101K - $139K/yr
Work with clients to design, develop, and deploy new architectures to support machine learning ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...
Senior AI Engineer - SFL Scientific
Pittsburgh, PA · On-site
$101K - $139K/yr
Work with clients to design, develop, and deploy new architectures to support machine learning ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...
Special Faculty - Post Doctoral Researcher
Pittsburgh, PA · On-site
$112K/yr
... finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning. The Department augments all these strengths with a ...
Special Faculty - Post Doctoral Researcher
Pittsburgh, PA · On-site
$112K/yr
... finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning. The Department augments all these strengths with a ...
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Pittsburgh, PA · On-site
Experience with machine learning operations (MLOps) or large language model operations (LLMOps ... We help protect brands from financial crime and other corporate misconduct, as well as empower ...
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Pittsburgh, PA · On-site
Experience with machine learning operations (MLOps) or large language model operations (LLMOps ... We help protect brands from financial crime and other corporate misconduct, as well as empower ...
Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting. Partner ...
Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting. Partner ...
Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting. Partner ...
Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting. Partner ...
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
Data Scientist - Enterprise Fraud Organization
Pittsburgh, PA · On-site
$86K - $172K/yr
Develops algorithms using advanced mathematical and statistical techniques like machine learning to ... with financial incentives. In addition, PNC generally provides the following paid time off ...
Data Scientist - Enterprise Fraud Organization
Pittsburgh, PA · On-site
$86K - $172K/yr
Develops algorithms using advanced mathematical and statistical techniques like machine learning to ... with financial incentives. In addition, PNC generally provides the following paid time off ...
... financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands ... Develops algorithms using advanced mathematical and statistical techniques like machine learning to ...
... financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands ... Develops algorithms using advanced mathematical and statistical techniques like machine learning to ...
Data Scientist Sr - Fraud Strategy & Portfolio Analytics
Pittsburgh, PA · On-site
$91K - $169K/yr
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
Data Scientist Sr - Fraud Strategy & Portfolio Analytics
Pittsburgh, PA · On-site
$91K - $169K/yr
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to ... finance, controllership, or regulatory function. * Bachelor's degree or equivalent (minimum 12 ...
New
You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to ... finance, controllership, or regulatory function. * Bachelor's degree or equivalent (minimum 12 ...
New
Hands-on experience with machine learning concepts and the ability to integrate ML models into ... Focus on your health, foster your personal resilience, and reach your financial goals as a valued ...
Hands-on experience with machine learning concepts and the ability to integrate ML models into ... Focus on your health, foster your personal resilience, and reach your financial goals as a valued ...
Hands-on experience with machine learning concepts and the ability to integrate ML models into ... Focus on your health, foster your personal resilience, and reach your financial goals as a valued ...
Hands-on experience with machine learning concepts and the ability to integrate ML models into ... Focus on your health, foster your personal resilience, and reach your financial goals as a valued ...
... financial models used throughout the loan and deposit product lifecycle. These models could be rules-based or developed with more advanced statistical, mathematical, econometric, machine learning, or ...
... financial models used throughout the loan and deposit product lifecycle. These models could be rules-based or developed with more advanced statistical, mathematical, econometric, machine learning, or ...
Data Scientist Sr - Fraud Strategy & Portfolio Analytics
Pittsburgh, PA · On-site
$91K - $169K/yr
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
Data Scientist Sr - Fraud Strategy & Portfolio Analytics
Pittsburgh, PA · On-site
$91K - $169K/yr
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
... like machine learning to predict business outcomes and recommend optimal actions to management ... with financial incentives. In addition, PNC generally provides the following paid time off ...
... machine learning space good in finance - Pittsburgh and Lake Mary are available office locations - Team is built in 2020 and growing, about 35 ppl now and hiring more - Need to know Python well;
... machine learning space good in finance - Pittsburgh and Lake Mary are available office locations - Team is built in 2020 and growing, about 35 ppl now and hiring more - Need to know Python well;
Machine Learning Finance information
See Pittsburgh, PA salary details
$24.3K - $34K
0% of jobs
$34K - $43.8K
5% of jobs
$43.8K - $53.5K
4% of jobs
$53.5K - $63.3K
7% of jobs
$63.3K - $73K
7% of jobs
$73.4K is the 25th percentile. Wages below this are outliers.
$73K - $82.8K
16% of jobs
The median wage is $87.7K / yr.
$82.8K - $92.5K
19% of jobs
$92.5K - $102.3K
14% of jobs
$103.4K is the 75th percentile. Wages above this are outliers.
$102.3K - $112K
14% of jobs
$112K - $121.8K
9% of jobs
$121.8K - $131.5K
4% of jobs
$24.3K
$89.9K
$131.5K
How much do machine learning finance jobs pay per year?
As of Aug 23, 2026, the average yearly pay for machine learning finance in Pittsburgh, PA is $89,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $105,800.00 per year, depending on experience, location, and employer.
What is a machine learning finance?
A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.
What are some typical challenges faced by professionals in machine learning finance roles?
Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.
What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?
To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.
What are the most commonly searched types of Machine Learning Finance jobs in Pittsburgh, PA?
The most popular types of Machine Learning Finance jobs in Pittsburgh, PA are:
What are popular job titles related to Machine Learning Finance jobs in Pittsburgh, PA?
For Machine Learning Finance jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Pittsburgh, PA look for?
The top searched job categories for Machine Learning Finance jobs in Pittsburgh, PA are:
Full-time
Posted 27 days ago
Carnegie Mellon University rating
8.6
Based on 24 frontline employees who took The Breakroom Quiz
70th of 622 rated colleges and universities
Job description
Description
Open-rank, tenure-track faculty position in Accounting at the Assistant, Associate, or Full Professor level commencing September 2027.
Qualifications
We invite applications from candidates at all ranks and career stages, with particular interest in candidates at the Associate or Full Professor level. Candidates should have completed, or be nearing completion of, a Ph.D. in Accounting or a related discipline. We seek scholars with strong theoretical, quantitative, and/or computational backgrounds-particularly those whose research leverages tools from artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and related methodologies. Applicants should demonstrate an established record of, or strong potential for, excellence in both research and teaching. Teaching responsibilities may include courses at the undergraduate, MBA, MSBA, and Ph.D. levels.
The Accounting group at the Tepper School is interdisciplinary and collaborative. Our strengths lie in the interface of accounting, economics, and data analytics. Methodologically, we place a strong emphasis on applied theory/empirical/experimental research grounded in accounting, economic, and/or computational theories. Examples of research by current faculty include economic consequences of climate reporting, cognitive biases in processing financial reports, tax evasion and income inequality, performance pay in knowledge creation, the role of accounting in banking regulations, and AI-assisted anomaly detection of accounting records.
We are at the frontier of accounting research aiming to address changing business needs due to rapid advancements in technology and the ubiquity of data by leveraging novel research approaches. The Accounting group at the Tepper School is ideally positioned to drive this innovation-bolstered by the recent establishment of the Accounting AI Research Lab and a strong track record of interdisciplinary collaboration with Carnegie Mellon faculty in economics, finance, statistics, machine learning, and computer science.
Application Instructions
Applicants should submit an application cover letter, a current CV, a current research paper, a research statement, other evidence of research excellence such as publications or working papers, if available, and three recommendation letters via Interfolio. For questions about submitting your application, please contact the Search Coordinator, Rosanne Christy, at rosanne@andrew.cmu.edu or 412-268-1320.
Screening will commence immediately. In order to ensure full consideration, completed applications must be received by November 15, 2026.
Open-rank, tenure-track faculty position in Accounting at the Assistant, Associate, or Full Professor level commencing September 2027.
Qualifications
We invite applications from candidates at all ranks and career stages, with particular interest in candidates at the Associate or Full Professor level. Candidates should have completed, or be nearing completion of, a Ph.D. in Accounting or a related discipline. We seek scholars with strong theoretical, quantitative, and/or computational backgrounds-particularly those whose research leverages tools from artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and related methodologies. Applicants should demonstrate an established record of, or strong potential for, excellence in both research and teaching. Teaching responsibilities may include courses at the undergraduate, MBA, MSBA, and Ph.D. levels.
The Accounting group at the Tepper School is interdisciplinary and collaborative. Our strengths lie in the interface of accounting, economics, and data analytics. Methodologically, we place a strong emphasis on applied theory/empirical/experimental research grounded in accounting, economic, and/or computational theories. Examples of research by current faculty include economic consequences of climate reporting, cognitive biases in processing financial reports, tax evasion and income inequality, performance pay in knowledge creation, the role of accounting in banking regulations, and AI-assisted anomaly detection of accounting records.
We are at the frontier of accounting research aiming to address changing business needs due to rapid advancements in technology and the ubiquity of data by leveraging novel research approaches. The Accounting group at the Tepper School is ideally positioned to drive this innovation-bolstered by the recent establishment of the Accounting AI Research Lab and a strong track record of interdisciplinary collaboration with Carnegie Mellon faculty in economics, finance, statistics, machine learning, and computer science.
Application Instructions
Applicants should submit an application cover letter, a current CV, a current research paper, a research statement, other evidence of research excellence such as publications or working papers, if available, and three recommendation letters via Interfolio. For questions about submitting your application, please contact the Search Coordinator, Rosanne Christy, at rosanne@andrew.cmu.edu or 412-268-1320.
Screening will commence immediately. In order to ensure full consideration, completed applications must be received by November 15, 2026.
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About Carnegie Bosch Institute
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Company size
1 - 10 Employees
Headquarters location
Pittsburgh, PA, US