Quant Data Modeler - Credit Risk

Job Summary SUMMARY OF DAY TO DAY RESPONSIBILITIES: In this position, the individual will be responsible for validating and compiling different datasets related to different retail products and building dashboards over it to highlight the trends in expected credit losses and credit risk drivers. Using sound knowledge in scorecard models as well as advanced statistical tools, such as machine learning algorithms, to deliver innovative solutions for our stakeholders and add value in an effective risk management process. This will entail extensive and deep interactions with the Model Validation and Model Risk Management teams, the retail risk management team, layer 6 and technology team to support the model review and approval process and ensure model compliance with the institution's Model Risk Policy. location: Charlotte, North Carolina job type: Contract work hours: 8am to 5pm education: Bachelors Responsibilities The position will work closely with and actively support Retail Risk Management, as well as retail credit product areas by providing extensive analysis of credit risk drivers for the respective product portfolios. This will include discussing with the retail credit product, finance, and risk management areas key observations and conclusions derived from the data analysis, modelling, and assisting in their use to manage product portfolio risk and profitability. In this position, the individual will use leading-edge technologies and develop innovative solutions in the following areas: - Data mining - making sense of some very large databases of credit risk related historical data by leveraging state of art statistical technics, such as machine learning and artificial intelligence algorithms - Predictive credit risk modelling based on rigorous statistical analysis of historical data that will assist our key business partners achieve growth and profitability targets while maintaining acceptable levels of risk within our lending portfolios - Assist in the validation and assessment of internally and third party developed predictive models, includes data extraction, data analysis, assisting in methodology development and documentation - To develop and maintain expertise with lending, credit scoring, behavior scoring, portfolio management and industry trends - To provide decision support, analytical, and statistical service through modeling and segmentation to help Lending BUs achieve business objectives. This position provides excellent learning, working and career opportunities in a highly professional and motivated team environment, and exposure to a variety of high-paced and intensive modeling projects and to a variety of internal and external stakeholders Qualifications MUST HAVE: • 5+ years of relevant working experience - Sound knowledge in industry best practices in predictive modelling, including machine learning algorithms - A university degree in quantitative discipline (Statistics, Mathematics, Computer mathematics, Econometrics, Operations Research); An advanced degree is an asset - Proficiency in programing using statistical analysis tools, such as SAS, Python/R, Scala, Spark etc., in the context of data manipulation, data mining, statistical analysis, and predictive modelling; - Proved to be a quick learner, strong problem-solving skills, ability to independently identify and solve problems in an effective and timely manner; skills: NICE TO HAVE: • Proficiency in dashboard building tools like Tableau. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.