Risk Model Development Analyst II

The Model/Anlys/Valid Analyst II is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards.

Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Responsibilities: Qualifications: Education: Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related project in terms of development, programming, integration, testing, and validation of models.Provides analytical support on analysis and benchmarking.Prepares business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports.Participates in a project of constant improvement of risk analytics, modeling and validation systems and optimization of on constant improvement of reporting system and optimization of Credit MIS Reports.Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Demonstrated programming (SAS, SQL, R, etc.). Knowledge of tools like VBA knowledge of secured/unsecured banking products and US communication skill to communicate technical information verbally and in writing to both technical and non-technical analytical skills, with the ability to identify root causes and trends and anticipate horizon issues.Proficient in Microsoft Office (Word, Excel, and PowerPoint2+ years experience in model implementation/validation/development preferable.Bachelor’s/University degree or equivalent experience

In this role, you will

Build Account Management Risk Models using traditional and Machine Learning techniques. Develop these models in compliance with the Risk modeling policies and procedures. Work on industry level peer analytics Leverage a variety of technologies such as SAS, R, Python, H2O, Spark, and more to extract the value out of the data. Deliver on all phases of development, from design through training, testing, validation, and implementation. Work with Technology, Risk policy and Governance teams to deliver decision risk models in the market Practice your presentation and articulation skills to translate the complexity of your work to all types of audience.

We will be thrilled to have someone who is

Curious –challenges status quo, questions what they see and looks for answers when something is not intuitive Has attention to details – knows when something does not add up and is not right. Has attention to details Has ability to communicate results to diverse audiences

Qualifications

2+ years’ experience in Risk Modeling or PhD degree in statistics, economics, or equivalent experience. Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or risk models Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights Experience with analytical or data manipulation tools ( SAS, SQL, R, Python, Spark) Proficient with MS Office suite Consistently demonstrates clear and concise written and verbal communication skills Self-motivated and detail oriented Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances

Education:

Bachelor’s/University degree in statistics, mathematics, economics, or equivalent experience. Master’s/PhD degree is a plus

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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