The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits

Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

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
• Has shown ability to use AI to transform their work

Qualifications

• 7+ 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

Job Family Group:

Risk Management

Job Family:

Model Development and Analytics:

Time Type:

Full time

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.

Other Relevant Skills

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

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