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Model Risk Manager Jobs in Arnold, MD (NOW HIRING)

Risk management experience with High Yield bonds and Bank Loans. * Experience using Bloomberg's GRM/TRM or PORT models for fixed income analysis, risk management, scenario analysis, and multifactor ...

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

... model risk management stakeholders. > Strong analytical, organizational, and attention-to-detail skills, with the ability to manage multiple priorities in a fast-paced environment. > Demonstrate ...

Int Actuary Modeler

Baltimore, MD · On-site

$88 - $95/hr

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Client Manager - Project Risk

Baltimore, MD · On-site

$81K - $103K/yr

What You'll Need: 5-10+ years of experience in wrapup insurance, construction risk management, or ... Demonstrates a positive attitude and serves as a professional role model in client and team ...

Showing results 41-60

Model Risk Manager information

See Arnold, MD salary details

$50.2K

$108.8K

$165.8K

How much do model risk manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model risk manager in Arnold, MD is $108,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in Arnold, MD look for?

The top searched job categories for Model Risk Manager jobs in Arnold, MD are:

What cities near Arnold, MD are hiring for Model Risk Manager jobs?

Cities near Arnold, MD with the most Model Risk Manager job openings:

Director, Fixed Income Risk

T Rowe Price

Baltimore, MD • On-site

Full-time

Re-posted 15 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

About the Team

The Investment Risk team, which is part of the firm's Enterprise Risk Group, consists of 43 associates located in the United States, United Kingdom, Luxembourg, and Singapore, supported by dedicated technology resources in the US and UK. As of December31, 2024, T.Rowe Pricehad $1.61 trillionin assets under management, serving millions of clients globally who rely on the firm for its retirement expertise and active management across asset classes.

Role Summary

The Fixed Income Risk Director is a key role within Investment Risk at T. Rowe Price. This Baltimore-based role, reporting to the global lead of Fixed Income Risk based in London, offers the opportunity to lead risk management for fixed income investment strategies managed by the Investment Grade (IG) team whose portfolio managers are predominantly in the U.S. with a primary focus on U.S. markets. As the IG coverage lead, the Fixed Income Risk Director frequently engages with portfolio managers and management on market risks, both benchmark-relative and absolute, in commingled investment vehicles and separate client account mandates. The Fixed Income Risk Director also provides risk consultancy for investment teams, which includes deep-dive risk analyses, supplementary stress testing, and tail risk analysis. In addition to possessing risk modeling expertise, the Fixed Income Risk Director must demonstrate a thorough understanding of fixed income investment strategies, markets, and macroeconomic risk drivers in their interactions. Effective collaboration with Fixed Income Risk team members, other parts of Investment Risk, such as Regulatory Risk, and other functions, such as Technology, is another key determinant of success.

To be successful, the incumbent must have:

  • Extensive experience in the asset management industry with a focus on fixed income market risk, gained through roles in risk management, investment, or trading departments.
  • A clear understanding of buy-side risk management, fixed income investment strategies, and global financial markets.
  • Knowledge of the nuances and complexities of investment-grade credit markets, including the ability to assess and communicate risks associated U.S. and European corporate bonds, interest rate and credit derivatives, and a variety of securitized/structured products (e.g., agency and non-agency RMBS, CMO, CMBS, ABS, and CLO).
  • The ability to communicate effectively with the team and key stakeholders, including portfolio managers, investment division leaders, and external clients/prospects/consultants.
  • Programming skills to process and visualize data and perform computations efficiently.

Responsibilities

Day-to-day Risk Management Activities:

  • Review and interpret fixed income risk analytics and dashboards.
  • Identify, measure, monitor, and communicate key portfolios risks to portfolio management teams with a focus on identifying significant sources of risk (e.g., factors, securities, sectors, etc.) and material changes to portfolios' risk profiles.
  • Analyze tail risks and conduct stress tests based on hypothetical and historical scenarios.
  • Collaborate with fixed income investment staff to understand their strategies and risk taking in portfolios.

Extension of Risk Reporting & Tools:

  • Prototype and develop risk reporting and tools to enhance existing vendor risk platforms (primarily Bloomberg and MSCI RiskManager) for the identification and measurement of risks within and across fixed income portfolios.
  • Specify data requirements for inclusion in dashboards/reports and potentially research and develop new methodologies and techniques.
  • Collaborate with associates in the Technology department to define requirements and support testing throughout the development process.
  • Present and communicate analytical results effectively to ensure buy-in from colleagues and adoption by Investment Risk stakeholders.

Communication with Internal & External Stakeholders:

  • Interact with many stakeholders beyond frequent contact with investment teams, including client-facing professionals, management, oversight committees, clients, consultants, and prospective clients, as appropriate.
  • Demonstrate a strong grasp of technical details and an up-to-date knowledge of investment strategies and markets.
  • Communicate complex topics clearly, confidently, and engagingly in both verbal and written forms.
  • Contribute to timely written responses containing fixed income risk information requested by clients, prospects, consultants, regulators, and internal teams at times.

Ad-hoc Analysis & Projects:

  • Perform ad-hoc data and quantitative analyses in response to requests from fixed income portfolio managers and risk team members.
  • Collaborate with team members and the Fixed Income quant team, as needed, to ensure methodologies are sound and best practices are followed.
  • Reconcile results with other in-house findings before communicating them to investment teams.

Qualifications

Required:

  • Bachelor's degree in a quantitative or scientific field such as quantitative finance/economics, statistics, applied mathematics, operations research, engineering, computer science, or physics and relevant experience AND
  • 10+ years of total relevant work experience
  • A passion for risk management and a demonstrated interest in financial markets through academic background, work experience and/or outside activities
  • Work experience with quantitative methods used to evaluate risk, such as volatility, tracking error and Value-at-Risk.
  • Fixed income and risk management experience in an asset management environment with a strong knowledge of investment grade credit, including securitized investments (e.g., RMBS, CMO, CMBS, ABS, and CLO)
  • Programming skills with experience using common programming languages and statistical analysis packages.
  • Experience using industry standard risk models/systems such as Bloomberg's GRM/TRM or PORT, MSCI RiskManager, Aladdin, Yield Book or similar.
  • Data analysis skills.
  • Strong interpersonal and communication skills.
  • High standards of work quality and integrity.
  • Strong organizational skills.
  • Self-starter with high motivation who enjoys collaborating.
  • Intellectually curious with a commitment to continuous learning.

Preferred:

  • More than 10+ years of direct experience in fixed income risk management at a buy-side asset manager
  • Master's or PhD degree in a quantitative or scientific field as listed above.
  • Programming skills in Python
  • Completion or progress towards professional risk or finance accreditations, such as CFA, FRM, and PRM
  • Risk management experience with High Yield bonds and Bank Loans.
  • Experience using Bloomberg's GRM/TRM or PORT models for fixed income analysis, risk management, scenario analysis, and multifactor performance attribution.
  • Experience using MSCI RiskManager for VaR and stress testing/scenario analysis.
  • Experience working for a global asset manager with key personnel located in multiple regions.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.


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