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Ai Risk Analyst Jobs in Boston, MA (NOW HIRING)

Victory Capital

Investment Risk Analyst

Boston, MA

$75K - $90K/yr

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

Victory Capitel

Investment Risk Analyst

Boston, MA · On-site

$75K - $90K/yr

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

DraftKings, Inc.

Senior Analyst, Risk

Boston, MA · On-site

To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Analyst, Risk Analytics, you'll turn complex risk and customer data into strategic ...

DraftKings

Senior Analyst, Risk

Boston, MA · On-site

To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Analyst, Risk Analytics, you'll turn complex risk and customer data into strategic ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Boston, MA

Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for ai risk analyst in Boston, MA is $44.11, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $53.70 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployment aligns with safety standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What are popular job titles related to Ai Risk Analyst jobs in Boston, MA? For Ai Risk Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Boston, MA look for? The top searched job categories for Ai Risk Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Ai Risk Analyst jobs? Cities near Boston, MA with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you

Investment Risk Analyst

Victory Capital

Boston, MA

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Investment Risk Analyst

Pioneer Investments is a diversified asset management firm and a key franchise of Victory Capital Management (VCTR).  Founded in 1928, Pioneer currently manages over $125 billion in assets across a wide range of strategies.  We are seeking a Credit Research Analyst to join our Corporate Credit Research team.

About Victory Capital: 

Victory Capital is a diversified global asset management firm and employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.

Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors. With 12 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan and brokerage services.

Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com or follow Victory Capital on Facebook, Twitter, and LinkedIn.

General Summary and Purpose: 

The ideal candidate will maintain and enhance front office investment risk models, collaborate directly with Portfolio Managers, and serve as a key analytical resource across multiple internal teams including RFP, Institutional, and Performance. A strong emphasis is placed on automation, data engineering, and building scalable reporting solutions that feed into Victory's internal AI infrastructure.

You Will:

 Risk Modeling

  • Maintain, validate, and enhance front office investment risk models used by Portfolio Managers
  • Monitor portfolio risk exposures including factor risk, tracking error, VaR, and drawdown metrics
  • Perform scenario analysis and stress testing across strategies and asset classes

Portfolio Manager Support

  • Partner with Portfolio Managers on ad hoc quantitative research and special projects
  • Provide risk attribution analysis and portfolio diagnostics on demand
  • Assist in pre- and post-trade risk analysis for investment decisions
  • Translate complex risk outputs into clear, actionable insights for investment teams

Data Engineering & Automation

  • Develop and maintain automated reporting pipelines using Python, SQL, and Snowflake
  • Build and optimize Snowflake data models and queries to feed Victory's internal AI tools
  • Automate repetitive analytical workflows, reducing manual effort across the investment risk function
  • Maintain clean, well-documented codebases and contribute to shared internal libraries

AI & Innovation

  • Contribute to the development of AI-assisted risk analytics and reporting tools
  • Explore and prototype machine learning applications for risk factor modeling and anomaly detection
  • Stay current on emerging AI/ML techniques relevant to investment risk management

You Have:

  • Education & Experience
  • Bachelor's degree required in a quantitative field: Data Science, Computer Science, Statistics, Mathematics, Finance, or Engineering
  • 3-5 years of relevant professional experience in investment management, risk analytics, or quantitative research
  • Technical & Programming
  • Proficiency in Python (pandas, numpy) for data analysis and automation
  • Strong SQL skills with hands-on experience in Snowflake or similar cloud data warehouses
  • Exposure to data visualization tools (Tableau, Power BI, or Python-based libraries)
  • Investment & Risk Knowledge
  • Foundational understanding of investment concepts: equities, fixed income, derivatives, and portfolio construction
  • Familiarity with risk metrics: tracking error, VaR, beta, factor exposures, drawdown, and Sharpe ratio
  • Experience with or exposure to risk systems (e.g., Bloomberg PORT, FactSet, MSCI RiskMetrics)
  • Soft Skills
  • Strong written and verbal communication skills -- ability to translate quantitative outputs for non-technical stakeholders
  • Intellectual curiosity with a bias toward building and automating
  • Self-starter mentality with the ability to manage ad hoc requests alongside longer-term projects
  • NICE TO HAVE
  • Snowflake experience
  • GenAI integration experience
  • Experience with cloud platforms (AWS, Azure)
  • R programming for statistical analysis
  • Familiarity with API integrations (Bloomberg, BarraOne, FactSet)

Our Benefits:

Victory Capital Management offers excellent Medical, Dental, Vision plans, Flexible PTO, Family Medical and Disability Leaves, Education Tuition Reimbursement and a 401k plan with a generous employer match.

Target Compensation:

The target base salary range for this position is $75,000 to $90,000

Salaries are determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees, and certifications.

Victory Capital Management operates a pay-for-performance compensation philosophy and total compensation may vary based on role, location, department and individual performance.

Victory Capital Management’s total compensation package includes the opportunity for annual compensation bonuses and/or commissions and a generous benefits package.

We are committed to equal employment opportunity without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, height, weight, hair texture or a hairstyle historically associated with race to include braids, locks, or twists; or any other characteristic protected by applicable federal, state, or local laws and ordinances. 

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