AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Engaged Employer
i
This company page is being actively managed by
JPMorgan Chase & Co. Team. If you also belong to the team, you
can get access from
here
JPMorgan Chase & Co.
Compare
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
All Filters
3 JPMorgan Chase & Co. Data Engineer Jobs
QR Wholesale Credit Data Engineer - Associate
JPMorgan Chase & Co.
posted 19d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Quantitative Research Data Engineering Associate within our Wholesale Credit Data QR team, you will be part of a mission to design, analyze, and deliver firm-wide data to support the firm s Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan loss reserves models. In this role, you will focus on data model definition, evolution of Data Dictionary to enable deep dive Data Analysis and Analytical explorations. You will work on the evolution of our frameworks, underlying data platforms and related tools to enhance ease of integration of pricing and forecast models, improve flexibility and extendibility of the framework as well as improve scalability and performance. This role will provide you with the opportunity to work with other experienced Wholesale Credit model developers and business partners, enhancing your quantitative as well as business skills.
Job Responsibilities
- Work as data engineer, to create or build data pipeline, define API to source data from different systems, perform complex transformation or enhancements to data and optimize end to end run.
- Write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling platform
- Perform data analysis to support model development and analytics
- Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR, CECL and other credit risk models
- Work with multiple stakeholders to elicit, analyze, refine and document business process and data requirements
- Collaborate through the entire Software Development Life Cycle (SDLC) including planning, analysis and testing of new applications and enhancements to existing applications
- Perform user acceptance testing and deliver demos to stakeholders by SQL queries or Python scripts
Required qualifications, capabilities, and skills
- bachelors or masters in Computer Science, Data Analytics or equivalent discipline. Experience of 3+ years in data engineering role in financial services, data analytics with focus on frameworks to handle large datasets and similar.
- Data Analysis and data manipulation skills using SQL , Python, object orient programming & MS Excel is required. Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data
- Experience on building data architecture to source data from different systems, handling complex transformation ad optimizing the end to end solution
- Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines. Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts
- Detail oriented and strong organizational skills. Excellent communication abilities, both written and oral
- Experience implementing analytics frameworks in finance. Experience with source control, automated build/test systems, code coverage, unit testing and release processes
Preferred qualifications, capabilities, and skills
- Experience in software engineering to build data architecture based on python, object orient programming, SQL etc is preferable
- Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital
- Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations
Employment Type: Full Time, Permanent
Read full job descriptionJPMorgan Chase & Co. Interview Questions & Tips
Prepare for JPMorgan Chase & Co. Data Engineer roles with real interview advice
What Data Engineer at JPMorgan Chase & Co. are saying
Rating based on 7 Data Engineer
reviews
Anonymous · Engineering - Software & QA
in Bangalore / Bengaluru
Likes
It's Bank Not IT company
Dislikes
No skill development
- Skill development - Poor
+4 more
Data Engineer salary at JPMorgan Chase & Co.
reported by
96
employees
with 1-12
years exp.
₹12.4
L/yr - ₹40
L/yr
156%
more
than the average Data Engineer Salary in India
View more details
What JPMorgan Chase & Co. employees are saying about work life
based on 6.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
JPMorgan Chase & Co. Benefits
Submitted by Company
Employee Programs Wellness Programs Health Care and Insurance Plans Family Care Retirement Savings Programs
Submitted by Employees
View more benefits 
Compare JPMorgan Chase & Co. with
Morgan Stanley
Compare
Goldman Sachs
Compare
TCS
Compare
Bank of America
Compare
Amazon
Compare
Compare
Accenture
Compare
Deloitte
Compare
Deutsche Bank
Compare
Oracle
Compare
Capgemini
Compare
Barclays
Compare
Infosys
Compare
Microsoft Corporation
Compare
Wells Fargo
Compare
HSBC Group
Compare
UBS
Compare
Bajaj Finserv
Compare
Cholamandalam Investment & Finance
Compare
Citicorp
Compare
Similar Jobs for you
JPMorgan Chase & Co. Mumbai Office Locations
Mumbai Office
Headquarter
JPMorgan Asset Management India Private Limited, J.P. Morgan Tower, Off. C.S.T. Road, Near Nafa Bus Stop, Kalina, Santacruz East
Mumbai
Maharashtra 400098
Maharashtra 400098
Mumbai Office
aradigm Towers-B Wing, Mindspace, Malad Goregaon Link Rd, Malad (W), Mumbai
Mumbai
400 064
400 064
Share an Interview