LaSalle Network

Credit Risk Analyst. Design and implement comprehensive analysis to evaluate portfolio risk as part of the credit review process including impact analysis from strategy changes. Strong analytical and data science skills including knowledge of Statistical concepts like Hypothesis testing, Confidence Interval, etc and Machine Learning techniques such as XGBoost, Random Forest, Linear Regression. Hands on experience with data analytics/programming tools such as SQL, R/Python is required. LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets.

credit risk analyst

LaSalle Network is currently partnering with a client to identify a Credit Risk Analyst to join their team. This individual will work on a team that is responsible for monitoring customer portfolios and ensuring adherence to the credit policies and procedures. This is a contract to hire opportunity. Credit Risk Analyst Responsibilities:
Design and implement comprehensive analysis to evaluate portfolio risk as part of the credit review process including impact analysis from strategy changes Leverage machine learning risk models and advanced analytics techniques to design long-term solution including enhancements of existing strategies and building new rules Work with cross-functional team to identify credit risk improvement opportunities and build strategy to deliver incremental business value Actively seek out opportunities to innovate by using non-traditional data and advanced analytic methodologies Build report to track funnel conversion and identify insights from performance metric; summarize and present findings and recommendations to senior leadership Conduct A/B testing when implementing new risk strategies or rolling out new product features Work in close collaboration with other data scientists and analysts in the team in model development phase and plan to implement relevant business strategies Credit Risk Analyst Requirements:
BA/BS degree with specialization in business, finance, economics, statistics, computer science Strong analytical and data science skills including knowledge of Statistical concepts like Hypothesis testing, Confidence Interval, etc and Machine Learning techniques such as XGBoost, Random Forest, Linear Regression Hands on experience with data analytics/programming tools such as SQL, R/Python is required Strong problem solving skills, with demonstrated intellectual rigor as well as strong interpersonal and communication skill Aptitude and interest in learning about business processes, and applying data science techniques and analysis in improving key metrics Experience Interpreting analysis, test and model results, and make informed recommendations across all levels of the business If you have the experience listed above, possess a great attitude and are looking for an opportunity with a stable and established employer, this is the role for you! If you are interested in learning more, please send a resume to today! Thank you,
Zak Hornung
Technology Services Recruiter
LaSalle Network LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Marketing, Technology, Supply chain, Healthcare Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.
LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets. LNPW
by Jobble #J-18808-Ljbffr

START NEW SEARCH