Risk Data Anlaytics & Modeling - Associate

Key Skills

Planning and organization, Python Programming, Database, AWS, Big Data Technology, Data Modeling, Apache Hive, Data Analytics, PySpark, Data Lake, ETL frameworks, Effective communication skills

Job Description

The Quant Modeling Senior Associate will work as part of the CCB - Portfolio Risk Modeling team and will be responsible and not limited to the creation and maintenance of model data, writing routines to help with model development. The individual will also be responsible for adhering to the data governance policy with CCB Risk.

Job Responsibilities

• Proactively research multiple and diverse data sources, recognize relevant variables and data points, and transform them into metrics and attributes to creatively represent the business.
• Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities, and opportunities.
• Partner with technical subject matter experts, understand our technological environment and recommend viable end-to-end solutions, including data sources, ETL, transformation and deployment.
• Ability to manipulate and analyze data, comprehend, and explain the story it represents.

Required qualifications, capabilities, and skills.

• Proven experience in application design and development using - Python, PySpark, R, Big Data, and Hive
• Experience on cloud computing platforms - AWS with an experience of using S3, Glue for data lake
• Good technical skills in ETL & Databases.
• Very strong quantitative skills
• At a minimum, undergraduate degree in Engineering, Physics, Mathematics, or a quantitative science
• Some experience in risk at a financial services institution strongly preferred.
• Excellent communications skills - verbal and written.
• Teamwork oriented - active collaborator and self-starting individual
• Strong organizational and project management skills
• Risk and Control mindset
• Ability to ask right questions and escalate issues to relevant stakeholders.
• Hands-on practical experience in system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills

• Formal training or certification in AWS
• Exposure to statistical modeling or having worked in a Risk Function at a financial services institution will be an added advantage.
• (For internal candidates) - Working knowledge of internal data platforms (ICDW, OMNIAI)

ABOUT US

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.