Deloitte

120 Deloitte Credit Risk Analytics Manager Jobs Hiring Near You

Credit Risk Analytics Manager I

Plano, TX · On-site +1

$103.45K - $197.73K/yr

The Opportunity As a Credit Risk Analytics Manager I, you will play a pivotal role in supporting the execution, maintenance, and enhancement of analytical models. You will be instrumental in complex ...

Credit Risk Analytics Manager I

Plano, TX · On-site +1

$103.45K - $197.73K/yr

The Opportunity As a Credit Risk Analytics Manager I, you will play a pivotal role in supporting the execution, maintenance, and enhancement of analytical models. You will be instrumental in complex ...

This role will manage a team of up to 5 analysts and provide analytical support to formulate YMFUS' Credit Risk and Business Strategies and other business initiatives. The areas of focus include ...

... management) whilst working with cutting-edge statistical models and data-driven insights. You will have the opportunity to work in an pan-European team and get exposure to credit risk analytics ...

$5K - $6K/mo

... management) whilst working with cutting-edge statistical models and data-driven insights. You will have the opportunity to work in an pan-European team and get exposure to credit risk analytics ...

We analyze performance not just to report on it, but to determine where to invest resources for ... credit risk management * Technical Skills - Fluent in SQL and Python * Multi-tasking - Strong time ...

Showing results 61-80

Deloitte Jobs Information

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

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

How does a Credit Risk Analytics Manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

What does a Credit Risk Analytics Manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.

What is it like to work at Deloitte?

Deloitte is known for its collaborative and inclusive culture, prioritizing diversity, equity, and inclusion to foster a sense of belonging among its employees. The company's global network is structured into various teams, including audit, consulting, tax, and financial advisory services, with a focus on delivering innovative solutions to clients across various industries. Working at Deloitte may appeal to individuals seeking a dynamic and challenging work environment with opportunities for professional growth, skill development, and global networking.

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What other companies are hiring for Credit Risk Analytics Manager jobs?
Infographic showing various Credit Risk Analytics Manager job openings at Deloitte in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 84% Physical, 13% Hybrid, and 3% Remote job distribution.
Credit Risk Analytics Manager-Finance

Credit Risk Analytics Manager-Finance

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 28 days ago


Job description

SUMMARY: Reporting to the Director of ACL, the Credit Risk Analytics Manager is part of a dynamic team of talented professionals whose task is to manage and maintain the credit risk models used to produce the allowance for credit losses (ACL) and other credit risk estimates. The Credit Risk Analytics Manager uses a combination of quantitative, modeling, communication, and technical reporting skills to manage third-party credit risk models and lead rigorous model validations, back testing, monitoring, and governance processes.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • SME for Moody's credit risk models CMM, RiskCalc, and MPA, coordinating model releases, inputs, overlays, change logs and stewarding data quality and lineage for production use.
  • Leads end-to-end validation lifecycle with Model Risk Management, Internal Audit, and external validators: assemble validation packages, respond to findings, track remediation actions, and maintain current model inventory and governance.
  • Maintains and updates comprehensive model documentation (purpose, data lineage, key assumptions, segmentation, limitations, monitoring thresholds) to meet regulatory/audit expectations
  • Designs and executes ongoing performance monitoring and back testing, produce concise insights, and recommend remediation/challengers if warranted
  • Advance/benchmark model usage by leveraging internal and external data to improve accuracy and business utility for CECL, attribution, and risk decomposition
  • Supports the quarterly CECL production cycle in partnership with the ACL manager
  • Builds recurring and ad-hoc dashboards and reports (Tableau, Excel, PowerPoint, Word) for senior and technical audiences.
  • Partners with Data/Technology on data quality and controls, metadata/lineage, and fit-for-purpose datasets supporting validation and CECL activities.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

SUPERVISORY RESPONSIBILITIES
  • Supervises function, projects or services and/or one or more employees, as applicable.
  • Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.
  • Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance coaching; rewarding and disciplining employees; addressing complaints and resolving problems.

EDUCATION
Bachelor's Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required. Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.
EXPERIENCE
  • 5+ years' experience in financial services with significant exposure to credit risk analytics/modeling required
  • Deep understanding of credit risk concepts (PD, LGD,and EAD) and credit risk models (PD/LGD, Scorecards, among others) required
  • Demonstrated direct experience of model ownership/monitoring, model development, and/or model validation, including concepts such as backtesting, sensitivity testing, and benchmarking required
  • Experience with statistical and quantitative modeling techniques is required required
  • Experience with programming and statistical packages languages, particularly Python, required required
  • Strong experience building dashboards and structured reporting packages required

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES
  • Excellent communication skills with the ability to analyze and explain findings and remediations.
  • Working knowledge with model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017)
  • Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever-changing work pace with a focus on accuracy and attention to detail.
  • Strong interpersonal skills to aid in working with different divisions within the company

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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