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Masters In Statistics Jobs in Pittsburgh, PA (NOW HIRING)

... in analyzing large datasets with robust statistical and machine learning workflows Demonstrated ... Petroleum, Chemical, Mechanical Engineering or closely related field MS Finance, MS Economics or MB ...

... Advanced capability in analyzing large datasets with robust statistical and machine learning ... or MBA preferred Years of Experience: • 8+ years of experience in reservoir engineering or ...

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Masters In Statistics information

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$39.3K

$81.2K

$113.6K

How much do masters in statistics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for masters in statistics in Pittsburgh, PA is $81,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $112,600.00 per year, depending on experience, location, and employer.

What can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

Is a master's in statistics a good idea?

A master's in statistics prepares individuals for roles such as data analyst, statistician, or data scientist, often requiring proficiency in programming languages like R or Python and knowledge of statistical methods. It can enhance job prospects in industries like finance, healthcare, and technology, where data-driven decision making is valued.

What is the highest paying job in statistics?

The highest paying jobs in statistics are often roles like Chief Data Officer, Quantitative Research Director, or Data Science Director, which typically require extensive experience, advanced skills in programming and analytics, and leadership responsibilities. These positions can offer salaries exceeding $150,000 annually, especially in finance, technology, and consulting industries.

What are popular job titles related to Masters In Statistics jobs in Pittsburgh, PA?

For Masters In Statistics jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Masters In Statistics jobs in Pittsburgh, PA look for?

The top searched job categories for Masters In Statistics jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Masters In Statistics jobs?

Cities near Pittsburgh, PA with the most Masters In Statistics job openings:

Infographic showing various Masters In Statistics job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $81,213 per year, or $39 per hour.

Senior Vice President, Treasury and ALM

BNY

Pittsburgh, PA • On-site

Full-time

Re-posted 12 days ago


Job description

We’re seeking a future team member for the role of Senior Vice President, Treasury and ALM to join our Corporate Treasury team. This role is located in Pittsburgh – Hybrid.

In this role, you’ll make an impact in the following ways:

  • Provides senior-level expertise and thought leadership in Asset Liability Management (ALM), with a primary focus on Interest Rate Risk in the Banking Book (IRRBB), balance sheet analytics, and Treasury risk management strategy.

  • Leads the interpretation and evolution of modeling, forecasting, and scenario analysis related to assets, liabilities, earnings sensitivity, and economic value exposure to support balance sheet decisions and risk management.

  • Identifies opportunities to enhance ALM and IRRBB analytics, including methodologies, assumptions, governance, and management reporting, in line with regulatory expectations and Corporate Treasury guidance.

  • Shapes future strategy by translating BNY’s Treasury and balance sheet priorities into clear team objectives, execution priorities, and decision-useful management insights.

  • Monitors compliance with internal and regulatory balance sheet risk metrics for assigned legal entities and/or regions, escalating key issues and emerging risks to senior management as appropriate.

  • Oversees the application of core IRR measurement and analytical tools, ensuring outputs are fit for purpose, well understood, and appropriately used in Treasury and risk decision-making.

  • Makes the internal stakeholder and end-user experience measurably better by delivering thoughtful, decision-oriented analytics, reporting, and risk insights that support Treasury, Finance, and Risk partners.

  • Helps teams adopt better ways of working by simplifying processes, strengthening governance, and improving the efficiency and scalability of the ALM operating model.

  • Takes accountability for team results, ensuring analytical quality, timely execution, strong governance, and clear ownership across ALM and IRRBB activities.

  • Applies new learnings, market developments, and evolving industry practices to improve how ALM, IRRBB, and balance sheet risk work gets done.

  • Puts team success ahead of individual priorities by building strong partnerships across Treasury, Finance, Risk, Data, and Technology organizations.

  • Encourages AI adoption to improve team performance, analytical insight, and decision support within the ALM framework, while maintaining strong controls and clear accountability.

  • Promotes a product mindset by delivering solutions, reporting, and analytical capabilities that improve user outcomes, usability, and adoption.

  • Uses data to improve team performance, strengthen decision-making, and enhance transparency across ALM, IRRBB, and balance sheet risk processes.

  • Evaluates risks inherent in new or changing bank products, balance sheet strategies, or market conditions, and recommends enhancements to ALM methodologies, analytics, and associated technical processes as needed.

  • Influences and guides thinking by presenting clear ideas, insights, and recommendations that enable fast and informed decisions by senior leadership.

  • Applies business acumen to remove complexity and bureaucracy, improving execution, governance, and outcomes across Treasury risk management activities.

  • Develops and coaches talent through ongoing feedback, mentorship, and growth opportunities that build team capability and strategic thinking.

  • Monitors industry developments and regulatory expectations related to ALM, IRRBB, and balance sheet risk, and applies best practices to strengthen policies, procedures, assumptions governance, and analytical frameworks.

  • Leads special projects and strategic initiatives, engaging partners across Treasury, Finance, Risk, Data, and Technology to enhance the ALM operating model and strengthen end-to-end process sustainability.

To be successful in this role, we’re seeking the following:

  • Degree in mathematics, engineering, statistics, computational finance, economics, finance, or a related quantitative discipline preferred.

  • MBA, CFA, FRM, or similar advanced credential preferred.

  • 10-15 years of total work experience preferred.

  • Significant experience with interest rate risk management, IRRBB, and/or asset-liability management within large, complex financial organizations preferred.

  • Experience with Quantitative Risk Management (QRM) or a similar IRR platform preferred.

  • Demonstrated ability to connect technical model output and analytical findings to strategic Treasury, balance sheet, and risk management decisions.

  • Strong understanding of regulatory expectations, governance standards, and industry practices related to ALM and IRRBB.

  • Proven ability to communicate complex analytical topics clearly and effectively to senior management and cross-functional stakeholders.

  • Demonstrated strength in client focus, strategic leadership, talent development, influencing stakeholders, applying business judgment, and leading through collaboration in a complex matrixed environment.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.