Risk Scoring Model Manager- C11

The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.

Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities:

• 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 policies.

• Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.

• Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements.

• Identifies potential risks and escalates for further review.

• Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence.

• Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents.

• Works with more senior staff in investigating and responding to customer and operational complaints.

• Interacts and works with other areas within Risk Management, as necessary.

• 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.

Qualifications:

• 5+ years experience

• Proficient in Microsoft Office with an emphasis on MS Excel

• Consistently demonstrates clear and concise written and verbal communication skills

• Self-motivated and detail oriented

• Demonstraed project management and organizational skills and capability to handle multiple projects at one time

• Bachelor’s/University degree or equivalent experience

We, at Citi, believe in the power of Data and the value Data Science can generate for our organization. Our high-quality financial products and services enable consumers and businesses to prosper and grow in domestic markets, as well as internationally. We put the customers at the center of everything we do and data at the center of how we do it. We continue to combine our scale, digital capabilities, and ecosystem to be where our customers need us to be. Data Science enables us to make our decisions better, faster and our products and services relevant to our customers

We have made it a priority to foster a culture of inclusion where the best people want to work, where people are promoted on their merits, where we value and demand respect for others, and where opportunities to develop are widely available to all.

Job Description

This position is with Risk Modeling Solutions. This specific role supports the US Consumer Bank’s CRS Cards portfolios.

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.
• 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

• 4+ 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 (e.g. 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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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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