Credit Risk Analytics Job Description
Credit Risk Analytics Duties & Responsibilities
To write an effective credit risk analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included credit risk analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Credit Risk Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Credit Risk Analytics
List any licenses or certifications required by the position: FRM, CFA
Education for Credit Risk Analytics
Typically a job would require a certain level of education.
Employers hiring for the credit risk analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Business, Education, Graduate, Math
Skills for Credit Risk Analytics
Desired skills for credit risk analytics include:
Desired experience for credit risk analytics includes:
Credit Risk Analytics Examples
Credit Risk Analytics Job Description
- Demonstrated experience in credit scoring and data mining
- Previous experience building scorecard validation modelling
- Experience in Statistical Analysis Software
- Help to act as a quality control on all major deliveries creating formal governance and controls on the same
- Lead a team of high performing individuals responsible for Stress Testing analytics
- Collections strategy development/refinement, implementation, tracking and enhancement
- Utilize offline and online data sources to develop analytic insights and informed recommendations
- Use complex data to review business problems, structure a thorough analytical review, and develop conclusions and recommendations
- Guide analysis of existing business practices and strategies
- Communicate complex concepts clearly and succinctly to influence diverse decision-makers
- Programming skill in a high-level language such as Matlab
- Familiarity with consumer lending products and services
- Superb analytical, modeling and problem solving skills
- Experience in MS Reporting Services/SharePoint, data mining and optimization tools/software an asset
- Prior experience (3-5 years) in credit risk modeling and analytics
- Must have at least Masters degree in quantitative subject such as Financial Engineering, Math, Statistics
Credit Risk Analytics Job Description
- Working on aspects of CRMA’s contribution to regulatory capital and other regulatory driven initiatives
- Assessment of regulatory capital requirements for prospective transactions
- Parameter quantification and documentation (exposure at default / probability of default / loss given default) of Wholesale credit risk portfolios for use in risk based capital requirements
- Interaction with Regulatory Policy and industry groups focused on developing advocacy strategies
- Coordination of credit risk related regulatory examinations
- Implementing technology initiatives related to regulatory capital and other regulatory driven initiatives
- Develop scorecards and segmentations, other advanced analytical tools for consumer credit risk decisions and other areas of the business
- Work cross-functionally on implementation and usage of analytical models
- Score validation and strategy
- Thought partnership and documentation of business learnings for future analytical strategies
- Experience with CCAR/DFAST stress testing is desired
- Candidates must understand “capital markets (bonds ), full flow of eTrading
- The jobholder will implement measures to contain compliance risk across the business area
- Consumer Credit Card industry experience strongly desired
- Advanced degree preferred in Economics, Decision Sciences, Mathematics, statistics or related field
- 5+ years of experience performing marketing analytics or credit risk analytics using SAS in a corporate environment
Credit Risk Analytics Job Description
- Pre-delinquency strategy development/refinement, implementation, tracking and enhancement
- Conceptualize, develop, optimize, implement and measure champion/challenger pre-delinquent treatment strategies and objectives
- Manage Credit Risk Analytics regulatory (e.g., CCAR) & BAU projects to ensure requirement fulfillment and on time delivery
- Establish and manage project forums as appropriate
- The individual will perform granular analysis using a variety of tools (Excel, PowerPoint, SQL) with a high attention to detail, and be able to overcome small data sample challenges and data quality issues
- The individual will work as part of cross-functional teams (product, credit operations and finance) across the Bank and deliver quality results working in multiple projects and assignments at the same time
- Partners with other business leaders to evolve and innovate National Funding's Credit and Portfolio Management strategies
- Lead statistical modeling team in start-to-finish development of credit loss and other forecasting models
- Collaborate with the internal technology team to implement and deploy solutions for real-time decisions
- Provide training, guidance, and assistance to team members
- Proficiency in Microsoft Office suite of software, Access, SQL, VBA and SAS
- Independent worker used to delivering on-time without direct oversight
- Self-motivated, organized and possess a high level of attention to detail
- Ability to work and solve problems independently and excel in a high-pressure, deadline oriented environment
- Graduate level analytical and problem solving skills with the ability to interpret complicated and large amounts of data with business insights to support business growth
- 5 to 7 years of versatile Credit Risk Management and Analytical experience in consumer lending
Credit Risk Analytics Job Description
- Manage Risk Analytics regulatory & BAU projects to ensure requirement fulfillment and on time delivery
- Protect and manage the firm's capital by developing or enhancing internal risk-based methodologies and processes
- Monitoring and analysing the firm?s credit risk exposures and capital requirements across products, sectors and regions
- Interacting with Regulatory Controllers and other stakeholders to ensure the appropriateness of processes and accuracy of credit risk capital calculations and input risk parameters
- Providing input into regulatory rule interpretation and policy related decision making, and interacting with Regulators as part of the ongoing supervision process
- Project managing the implementation of various process and technology initiatives
- Performing parameter quantification (exposure at default / probability of default / loss given default) of credit risk portfolios for use in risk based capital requirements
- Stress testing of various sources of credit risk, including Credit Valuation Adjustment (CVA)
- Assessing Basel III capital requirements for prospective transactions or business activities
- Protect and manage the firm's capital by developing or enhancing internal risk-based methodologies under Basel 3 advanced capital frameworks
- Bachelor’s Degree – required in Economics, Statistics, Finance, Operations Research, Engineering, or other quantitative field (Master’s Degree – preferred)
- 2+ years’ work experience in the areas of financial planning, credit risk management or analytics
- Experience in credit card/payments industry strongly preferred
- Proficiency in SAS and SQL coding, text mining and Big Data analytics desired
- Background in web analytics (Omniture/Adobe Insight), Business Intelligence tools (Tableau), and experience working with unstructured data preferred
- Manage client evaluations of these products and provide insight with respect to analyzing their portfolio
Credit Risk Analytics Job Description
- Interacting with Regulators as part of the ongoing supervision process and applications for permission
- Monitoring, analysing and explaining changes in the firm?s credit risk exposures and capital requirements across products, sectors and regions
- Assessing Basel III capital requirements for prospective transactions
- Providing input into regulatory rule interpretation and policy related decision making
- Project managing the implementation of various process and technology initiatives related to Basel III
- Identify and create panel data and complete credit risk data modeling needs
- Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR and other credit risk models
- Participate in project management including scope, planning, coordination, estimation, SDLC process, software configuration tools, delivery and execution, and software release process
- Lead the Credit Risk Analytics Team to partner with stakeholders across business and credit functions to assess portfolio management needs to ensure healthy portfolio growth without compromising asset quality
- Devise and develop regular portfolio performance and portfolio segmentation review for differentiating portfolio behavior in various segments
- Computer science background or experience in programming and data mining especially using object oriented languages such as python or Java or C
- 5+ years in an analytical or strategic role with experience managing a team
- Proven ability to understand complex business problems and develop effective solutions
- Ability to lead within a culture of teamwork to ensure execution of organizational goals
- Proven track record of motivating, evaluating, and developing Analysts ranging from entry-level Associates to Senior Analysts
- Degree in analytical or mathematical field