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Credit Risk Modeler

Job Title: Credit Risk Modeler
Contract Type: Permanent
Location: Kansas City, Missouri
Industry:
Salary: £80000.00 - £95000.00 per annum
Reference: HQ00073689_1527880161
Contact Name: Adam Butler
Contact Email: a.butler@lawrenceharvey.com
Job Published: June 01, 2018 20:09

Job Description

Risk Modeler, Fintech Firm, Kansas City, $90k Base

A fast growing Fintech firm based in Kansas City are actively hiring for an experienced Risk Modeler to join the team. One of the fastest growing cities in the US among Millennials due to the low cost of living and tech driven firms in the area, there is never a better time to work and live in Kansas City.

What Will I Be Doing?
The Senior Risk Analyst will focus on developing robust and compliant predictive models that focus on credit risk default, churn, fraud detection, collection strategy as well as profitability. You will be developing application and behavioral scorecards including rigorous analysis of data from credit bureaus as well as big data elements located in the Sprint Big Data Lake.
The position also includes tasks such as comparing different workflows to identify ideal processes in scorecard development and offer creation, manage predictive models development, SQL data mining, applying machine learning algorithms to solve business problems, extracting raw data from credit bureau flat files and apply feature engineering to them and also ad-hoc analyses.

What Do I Need?
Master's Degree in Statistics, Mathematics, Computer Science or related field
2+ years of relevant experience in modeling and credit risk related fields
An understanding of common machine learning algorithms
Knowledge of risk techniques, systems, and strategies
Experience with Python, R, SQL, Tableau, and at least one object oriented programming language

What Next?
If you're interested in this position please click 'Apply Now' on this page or email a.butler@lawrenceharvey.com for more information.

Lawrence Harvey is acting as an employment agency in regards to this position.
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