Senior Quantitative Analyst, CECL-Remote

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GENERAL FUNCTION:

The general function for this position is general risk model development, risk monitoring and documentation. Primary focus will be on the development, selection and implementation of quantitative models related to credit risk to support various lending portfolio products, including wholesale and retail products.

Qualified candidates should have a proven modeling and quantitative background, excellent communication skills, an in-depth understanding of scoring procedures and related regulatory requirements. The candidate must be able to multi-task effectively and above all be results oriented. The desirable candidate is able to think out of box and have the ability to work effectively in a collaborative work environment.Individual at this level is expected to use some independence of thought but to refer more complex problems to supervisors or other experts. May also be accountable for regular reporting or process administration as a model owner.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• This person will provide quantitative support throughout the Risk divisions. This will include the development, implementation, and monitoring of quantitative models including those used for expected credit loss estimation, and related components such as PD, LGD, EAD, prepayment, etc.
• Provide ongoing support for the development, implementation and validation of quantitative and statistical models and tools as well as back testing models to support respective LOBs.
• Will also have responsibility for ad-hoc reporting requests for quantitative modeling and the CECL Allowance for Credit Losses estimation.

MINIMUM KNOWLEDGE SKILLS, AND ABILITIES REQUIRED:

• Advanced degree in quantitative analytics, economics, finance, statistics, mathematics, engineering, or a related area (PhD preferred).
• Minimum 4+ years' experience instatistical/econometricmodeling with focus on Consumer credit risk.
• Experience with programming languages commonly used for quantitative modeling, such as SAS, R, Python or Matlab is required.
• Database experience using SQL-based databases is required. Cloud-based or data-warehouse-as-a-service experience preferred.
• Some experience with machine-learning and artificial intelligence approaches is preferred.
• Strong analytical, verbal and written communication skills.
• Ability to present a professional image.
• Ability to work in a team environment, to multi-task and be flexible.
• Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary.
• A working understanding of both CECL and Basel II frameworks is a plus
• Experience in a cross- functional environment working with portfolio management concepts and constructing and explaining risk models is a plus.

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