Senior Credit Risk Analyst

SUMMARY:
In this role you will be responsible for predictive analytics; feature engineering; data preparation; complex statistical modelling; sensitivity models; strategy development; monitoring and tracking.

POSITION INFO:

Qualifications and Experience

Minimum of a degree majoring in Mathematics or Statistics with a strong academic record

At least 4 years’ experience in building, implementing and using statistical models

Experience conceptualizing, coding and implementing feature engineering

Experience working with large datasets and preparing data

SAS Base / Enterprise Guide programming experience

Experienced Microsoft Office user

SAS Enterprise Miner programming experience advantageous

Experience with bureau data beneficial

Experience using Python and Hadoop advantageous

Excellent analytical and numeric skills

High attention to detail driving a need for 100% accuracy

Able to manage effectively in a high-volume, fast-paced, error-free environment

Excellent verbal, written and presentation communication skills required

Ability to extract, validate, clean and prepare data for modelling and reporting

Ability to prepare well-structured, clear and concise deliverables, including presentations

Strong collaborative interpersonal skills – both with internal and external parties

High level of integrity and confidentiality

Ability to learn and to share findings with the team in a concise, clear manner

Self-starter

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