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JPMorgan Chase & Co.
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546 JPMorgan Chase & Co. Jobs
3-7 years
JP Morgan Chase - Associate - Quant Modeling/Risk/Portfolio Risk Modeling (3-7 yrs)
JPMorgan Chase & Co.
posted 10d ago
Flexible timing
Key skills for the job
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 Quant Modeling Assoc, Risk - Portfolio Risk Modeling India in the Portfolio Risk Modeling team, you will be expected to support critical statistical development projects and related analysis. You will design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring. This role provides an opportunity to utilize your graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses. You will also have the chance to efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
Job responsibilities:
- Design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring.
- Utilize graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, etc.
- Design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
- Communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.
Required qualifications, capabilities, and skills:
- Minimum 3 years' statistical modeling experience in the financial services industry;
- Proficiency in advanced analytical languages such as SAS, R, Python.
- A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology.
- Strong analytical and problem-solving skills
- Strong organization and time management skills. Must have the ability to deliver high-quality results under tight deadlines.
- Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results.
- Strong communication skills.
Preferred qualifications, capabilities, and skills:
- Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
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.
Functional Areas: Other
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Working in JPMorgan has been a great experience. Starting from package increament work life balance is been very good
Only issue is here the technology they use is very old and knowledge growth become stagnent after some period of time
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