JP Morgan Chase - Data Programming Associate - Risk Modeling (4-10 yrs)

Description:

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

- As a Risk Modeling Data programming Associate within the CCB- Portfolio Risk Modeling team you are expected to support critical statistical development projects and related analysis.

- You will have the chance to collaborate with modeling teams, comprehend model monitoring requirements, and construct feasible end-to-end solutions. The incumbent candidate will have the following roles and responsibilities.

Job responsibilities:

- Support end-to-end credit-risk model development efforts within Regulatory Modeling

- Migrating existing code base to the cloud.

- Developing, and building tools to support prototyping, evaluating, and deploying models

- Support model development efforts and liaison with different teams

- Manage quality control within development projects, assuring accurate results.

- Assist in development and monitoring of Regulatory Models

- Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.

- Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.

- Inventing creative and innovative ways to answer key business questions by leveraging existing data assets

Required qualifications, capabilities, and skills:

- Min 4 years of programming experience in any of the following languages SAS or Python.

- Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata.

- Knowledge of big data environment (AWS) will be an added plus.

- Experience in BI development and reporting would be an added advantage.

- A degree in Computer Science, Engineering, or Information Technology.

- Experience in developing and implementation of solutions in a production environment.

- Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.

- Well-developed oral and written communication skills.

- Ability to make contributions to the group's knowledge base by proposing new and creative ways for approaching analytic problems and project design.

Preferred qualifications, capabilities, and skills:

- Formal training or certification in AWS

- Exposure to risk at a financial services institution would be an added advantage.

JPMorganChase, 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.

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.