Job Description
In this role, you'll have the opportunity to use your experience with advanced machine learning modeling to design, build and validate models used in Auto risk management. You will build a solid understanding of consumer businesses, functions, systems, data environments and processes that are necessary for the production and utilization of data. Job Responsibilities Design and develop machine learning models to drive impactful decisions Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models, including deep learning architecture on big data platforms Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production Collaborate with various partners in risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) Required qualifications, capabilities, and skills Ph.D. or Masters degree from. an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics or Engineering Hands-on experience in quantitative data management and analytics, including data extraction, cleaning, transformation and visualization Extensive practical experience and work experience with Machine Learning (supervised and unsupervised). Deep Learning (neutral network) experience is preferred Experience working with engineering teams to operationalize Machine Learning models Deep understanding of machine learning algorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive) Preferred Qualifications, Capabilities, and Skills Prior experience of working in Auto Finance industry in modeling / risk analytics
Employement Category:
Employement Type: Full time
Industry: Others
Role Category: Others
Functional Area: Not Applicable
Role/Responsibilies: Risk Machine Learning Modeling (Auto)
Keyskills:
Machine Learning
Deep Learning
Data Management
Data Analytics
Python
Spark
Scala
Hadoop
AWS
Regression
Tensorflow
Teradata
XGBoost
CNN
RNN