Quantitative Analytics Specialist Jobs
By Wells Fargo At Charlotte, NC, United States
Ability to work with large datasets and some experience in database management and tools such as Hadoop, Spark and SQL;
Identifying state-of-the-art techniques in modeling (statistics and ML) as well as optimization for application in risk management;
In-depth knowledge of ML methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning;
Strong computing and programming background and knowledge of one or more languages such as Python and Java;
Experience with ML/AI computing platforms and tools such as TensorFlow and Keras;
Experience with GPU programming, multi-core, or distributed programming;

Are you looking for a challenging and rewarding role in Quantitative Analytics? We are looking for a Risk Ratings Quantitative Analytics Manager to join our team and help us develop and implement innovative solutions to manage risk. You will be responsible for developing and maintaining quantitative models to assess and monitor risk ratings for our clients. You will also be responsible for providing insights and recommendations to senior management on risk management strategies. If you have a passion for quantitative analytics and a desire to make a difference, this is the perfect opportunity for you!

Overview:

Risk Ratings Quantitative Analytics Manager is responsible for developing and managing quantitative models and analytics to support the risk ratings process. This role requires a strong understanding of quantitative methods, analytics, and risk management. The Risk Ratings Quantitative Analytics Manager will work closely with the Risk Ratings team to ensure that the models and analytics are accurate and up-to-date.

Detailed Job Description:

The Risk Ratings Quantitative Analytics Manager will be responsible for developing, managing, and maintaining quantitative models and analytics to support the risk ratings process. This role requires a strong understanding of quantitative methods, analytics, and risk management. The Risk Ratings Quantitative Analytics Manager will work closely with the Risk Ratings team to ensure that the models and analytics are accurate and up-to-date. The Risk Ratings Quantitative Analytics Manager will also be responsible for developing and implementing new models and analytics to improve the risk ratings process.

What is Risk Ratings Quantitative Analytics Manager Job Skills Required?

• Strong quantitative skills, including knowledge of statistical methods, analytics, and risk management
• Ability to develop and maintain quantitative models and analytics
• Ability to interpret and analyze data
• Ability to communicate complex concepts in a clear and concise manner
• Ability to work independently and in a team environment
• Strong problem-solving skills
• Ability to work under pressure and meet deadlines

What is Risk Ratings Quantitative Analytics Manager Job Qualifications?

• Bachelor’s degree in a quantitative field such as mathematics, statistics, economics, or finance
• 5+ years of experience in quantitative analysis, risk management, or related field
• Advanced degree in a quantitative field such as mathematics, statistics, economics, or finance is preferred
• Knowledge of risk ratings and rating systems is preferred

What is Risk Ratings Quantitative Analytics Manager Job Knowledge?

• Knowledge of quantitative methods, analytics, and risk management
• Knowledge of risk ratings and rating systems
• Knowledge of statistical software such as SAS, R, or Python

What is Risk Ratings Quantitative Analytics Manager Job Experience?

• 5+ years of experience in quantitative analysis, risk management, or related field
• Experience developing and maintaining quantitative models and analytics
• Experience interpreting and analyzing data
• Experience working in a team environment

What is Risk Ratings Quantitative Analytics Manager Job Responsibilities?

• Develop and maintain quantitative models and analytics to support the risk ratings process
• Interpret and analyze data to identify trends and patterns
• Develop and implement new models and analytics to improve the risk ratings process
• Communicate complex concepts in a clear and concise manner
• Work independently and in a team environment