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Model Risk Manager Jobs in Buffalo, NY (NOW HIRING)

Model Risk Management process and foundations * Testing for deterioration and model health * Scale and fundamental concepts of Machine Learning * How statistical measurements are used * Advanced data ...

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Actively models and coaches customer service and needs determination behaviors. Reinforces and ... Adheres to applicable compliance/operational risk controls in accordance with Company or regulatory ...

Actively models and coaches customer service and needs determination behaviors. Reinforces and ... Adheres to applicable compliance/operational risk controls in accordance with Company or regulatory ...

The Manager makes sound, risk-based credit decisions, reinforces underwriting discipline, and ... Strength in developing/refining scoring models and other technology based initiatives * Recommend ...

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Model Risk Manager information

See Buffalo, NY salary details

$49.9K

$108.1K

$164.7K

How much do model risk manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for model risk manager in Buffalo, NY is $108,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $125,000.00 per year, depending on experience, location, and employer.

What are some 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 are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

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 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 are popular job titles related to Model Risk Manager jobs in Buffalo, NY? For Model Risk Manager jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Buffalo, NY look for? The top searched job categories for Model Risk Manager jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Model Risk Manager jobs? Cities near Buffalo, NY with the most Model Risk Manager job openings:
Senior Manager, Business Intelligence

Senior Manager, Business Intelligence

Humane Society of Broward County

Buffalo, NY • On-site

Other

Posted 4 days ago


Job description

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position

Our purpose - Opening up a world of opportunity - explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth, and perspectives to open up new kinds of opportunity for our more than 40 million customers. We're bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world - for our customers, our people, our investors, our communities, and the planet we all share.

This position sits within the Global Payment Solutions (GPS) Business Management, Revenue Management, and Product Delivery teams, providing advanced analytical support across GPS globally. GPS is seeking a Senior Manager, Business Intelligence to join the Data and Insights team, reporting to the Data and Insights Manager. The successful candidate will be a proactive, innovative thinker with a robust analytical background and proficiency in at least one programming language (e.g., BigQuery, SQL, Python, R)

The role is primarily focused on delivering ad-hoc analytical projects, including data strategy, development, modelling, and segmentation, to drive informed decision-making and optimise business performance at a global level. The candidate will be instrumental in converting raw data into actionable business intelligence, enabling the organisation to anticipate trends, improve commercial outcomes, and surpass client expectations consistently across regions. As our Analytics and Insights Product Owner you will: Deliver analytical support across multiple global customer, product, and channel initiatives, providing insights that inform strategy, optimise resources, and deliver best-in-class solutions across markets Contribute to, and potentially lead, initiatives to establish global analytical best practices, standards, and reusable assets (e.g., common KPI definitions, dashboards, code libraries, modelling approaches) Design, implement, monitor, and evaluate analytic solutions that generate significant financial value across regions, ensuring scalability and comparability of insights Assess statistical models and tools, including those for attrition, profitability, customer value, and price/rate sensitivity, ensuring they are fit-for-purpose across different market dynamics Manage analytic deliverables supporting global Operating Plans, performance management, and Product Pricing strategies, including regional roll-ups and executive level insights Champion a data-driven culture, embedding analytical insights into strategic decision-making and fostering a test-and-learn environment across GPS globally Engage with key stakeholders across GPS and CIB (Corporate and Institutional Banking) business functions globally, partnering with regional product, sales, coverage, and business management teams Collaborate with support areas such as Marketing, Operations, Finance, Risk, Legal, and Compliance to ensure insights and solutions are aligned to local requirements while meeting global governance expectations Translate complex analysis into clear, actionable recommendations for senior stakeholders across multiple time zones and stakeholder groups Support the Data and Insights Manager, as well as senior management, in delivering a high-quality, data-driven analytics function with global coverage and consistency Collaborate with GPS stakeholders to develop and implement advanced analytic solutions that drive financial outcomes and enhance customer experience across markets Promote a diverse and inclusive environment aligned with HSBC's values, working effectively across cultures, geographies, and perspectives Support the development and monitoring of analytic solutions aligned with strategic objectives, leveraging modern data architectures and advanced analytics (Big Data, Machine Learning, AI) in a way that scales globally Produce and review required reports, KPIs, and programming logs, ensuring compliance with internal processes, data governance standards, and global control frameworks Conduct post-implementation reviews to refine future strategies and solutions, capturing lessons learned and enabling reuse across regions Identify risks (e.g., data quality, model risk, privacy, regulatory constraints, operational resilience) and develop mitigation plans in partnership with relevant global and regional stakeholders Youll likely have the following qualifications to succeed in this role: A combination of relevant experience and education, such as several years of progressive analytical experience and/or a Bachelor's degree in business, data science, statistics, economics, finance, information systems, or operational research Advanced quantitative and analytical skills, including customer segmentation, statistical modelling, database marketing, and portfolio management, with a strong grasp of methodologies for optimizing and evaluating analytic solutions Technical proficiency in BigQuery, SQL, SAS, Python, R, or similar, with demonstrated ability to manipulate and analyze large datasets

Solid understanding of data integration and management processes is essential Experience with Google Cloud Platform (GCP) analytical tools (or equivalent) is highly desirable, including BigQuery for data warehousing, Data Studio for visualization and reporting, and Cloud AI tools for advanced analytics and machine learning. Ability to leverage GCP to enhance data workflows and implement scalable, data-driven solutions is expected Strong problem-solving skills and the ability to collaborate effectively in a fast-paced environment with global stakeholders and competing priorities High-level conceptual and strategic thinking, with the ability to translate ideas into actionable plans and solutions Proven communication and influencing skills with executive management As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

You will be empowered to drive HSBC's engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You'll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference.

We succeed together. We take responsibility. We get it done.

And we want you to help us build the bank of the future. Your final fixed pay offer will depend on the candidate and several variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.