w******t
发帖数: 471 | 1 Please IM me if you are interested.
JOB DESCRIPTION – Risk Modeling Statistician
POSITION DESCRIPTION
• Provide statistical analytics supports to credit risk, fraud
detection, and other operation in the consumer lending business.
• Develop risk management models and strategies.
QUALIFICATION REQUIREMENTS
• Master’s Degree in a quantitative discipline of Statistics or Math
or Bachelor Degree in Statistics or Math with 2-6 years’ experience in
financial risk analysis.
• 2-6 years of experience in solving analytical problems using
quantitative approaches in the financial industry.
• Expertise in advanced analytic tools with SAS and/or R. Certified
SAS Programmer preferred.
• Hands-on experience SQL programming language.
• Experience developing credit risk models in the lending industry.
RESPONSIBILITIES AND DUTIES
• Perform data analysis and develop effective statistical models for
credit risk management, fraud detection, collection, and operation
optimization in consumer lending business.
• Develop and maintain risk models using standard and advanced
statistical techniques - such as logistic regression, multi-nominal
regression, CHAID, and clustering analysis.
• Identify actionable insights, suggest recommendations and influence
the direction of the business by effectively communicating results to cross
functional groups.
• Develop a thorough understanding of business goals and issues,
interpret business needs into data and analytical requirements, and then to
analytical/reporting solutions.
• Evaluate data analysis and model results for communication to
management and working with cross-functional teams to proactively create
business rules, deploy analytics, and manage decisions.
• Develop programs (SQL, SAS, R) to carry out analyses and model
building work.
• Work with other team to implement financial risk management models.
• Work with IT and/or data analytics to plan, develop and improve risk
management data infrastructure.
JOB DESCRIPTION – Senior Risk Modeling Statistician
POSITION DESCRIPTION
• Develop, implement and manage credit risk management and fraud
detection models and strategies.
• Provide statistical analytics in credit risk, fraud detection, and
other operation in the consumer lending business.
• Manage risk analytics project. Coordinate model implementation,
monitor risk underwriting operation.
• Manage fraud analytics project. Coordinate fraud detection analytics
implementation.
• Coordinate data work and project flow with vendors.
QUALIFICATION REQUIREMENTS
• Solid track records in utilizing quantitative methods to provide
strategic solutions in business.
• Advanced degree in a quantitative discipline of Statistics or Math
or college degree in Statistics or Math with 4-10 years’ experience in
financial risk analysis.
• 5-15 years of solid track records in solving analytical problems
using quantitative approaches in the financial industry.
• Expertise in advanced analytic tools with SAS and/or R. Certified
SAS Programmer preferred.
• Expertise in SQL programming language.
• Experience developing credit risk models in the lending industry.
RESPONSIBILITIES AND DUTIES
• Develop, manage and monitor credit risk models and fraud detection
projects.
• Manage risk strategy project and coordinate with business partners
and vendor on project flow.
• Perform data analysis and develop effective statistical models for
credit risk management, fraud detection, collection, and operation
optimization in consumer lending business.
• Develop and maintain risk models using standard and advanced
statistical techniques - such as logistic regression, multi-nominal
regression, CHAID, and clustering analysis.
• Identify actionable insights, suggest recommendations and influence
the direction of the business by effectively communicating results to cross
functional groups.
• Develop a thorough understanding of business goals and issues,
interpret business needs into data and analytical requirements, and then to
analytical/reporting solutions.
• Evaluate data analysis and model results for communication to
management and working with cross-functional teams to proactively create
business rules, deploy analytics, and manage decisions.
• Develop programs (SQL, SAS, R) to carry out analyses and model
building work.
• Coordinate with other team to implement financial risk management
models.
• Coordinate with IT and/or data analytics to plan, develop and
improve risk management data infrastructure.
• Coordinate with vendor in data test, modeling sample process and
model implementation. | s****t
发帖数: 651 | 2 why here ?
fishing?
【在 w******t 的大作中提到】
: Please IM me if you are interested.
: JOB DESCRIPTION – Risk Modeling Statistician
: POSITION DESCRIPTION
: • Provide statistical analytics supports to credit risk, fraud
: detection, and other operation in the consumer lending business.
: • Develop risk management models and strategies.
: QUALIFICATION REQUIREMENTS
: • Master’s Degree in a quantitative discipline of Statistics or Math
: or Bachelor Degree in Statistics or Math with 2-6 years’ experience in
: financial risk analysis.
|
|
