QR Wholesale Credit Data Engineer - Associate

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Data Science Analytics & Machine Learning

149+ Applicants

Posted: 9 months ago

3-7 years

Maharashtra

Work from Office

Posted: 9 months ago

Applicants: 149+

Job Description

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Job Description

Are you searching for an exciting opportunity to become a part of a dynamic and growing team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to provide a comprehensive view.
As a Quantitative Research Data Engineering Associate in our Wholesale Credit Data QR team, you will play a crucial role in designing, analyzing, and delivering firm-wide data to support the firm's Wholesale Credit Stress, Loan Loss Reserves models, and more. Your responsibilities will include focusing on data model definition, evolving Data Dictionary, enabling deep dive Data Analysis, and enhancing frameworks, data platforms, and tools. You will work towards improving integration of pricing and forecast models, flexibility, extendibility of the framework, scalability, and performance. This role provides an opportunity to work with experienced Wholesale Credit model developers and business partners, enhancing both quantitative and business skills.
In this role, your responsibilities will include:
- Working as a data engineer to create data pipelines, define APIs, perform complex data transformations, and optimize end-to-end processes.
- Writing business requirements in the form of JIRA epics & user stories for credit risk modelling platform development.
- Conducting data analysis to support model development and analytics.
- Collaborating with various stakeholders to understand and document business processes and data requirements.

- Participating in the Software Development Life Cycle (SDLC) including planning, analysis, and testing of new applications.
- Conducting user acceptance testing and delivering demos to stakeholders using SQL queries or Python scripts.
Required qualifications, capabilities, and skills:
- Bachelor's or Master's degree in Computer Science, Data Analytics, or equivalent field.
- 3+ years of experience in a data engineering role in financial services or data analytics.
- Proficiency in data analysis and manipulation using SQL, Python, object-oriented programming, and MS Excel.
- Experience in building data architecture, handling complex transformations, and optimizing solutions.

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- Strong problem-solving skills, eagerness to learn about Credit Risk, and excellent communication abilities.
- Detail-oriented, organized, and comfortable working in a dynamic environment under tight deadlines.
- Experience with analytics frameworks in finance and software engineering practices.
Preferred qualifications, capabilities, and skills:
- Experience in software engineering and building data architecture using Python, SQL, etc.
- Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital.
- Proven ability to develop collaborative relationships with internal partners to achieve objectives.,

Skills

Data AnalyticsPythonData AnalysisData ArchitectureData EngineerAnalyticsSqlSoftware EngineeringData ArchitectureRegulatory ConceptsFinancial ServicesData AnalysisMS ExcelData ManipulationPythonSource ControlAccounting ConceptsObject Oriented ProgrammingSQLUnit TestingForecasting

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Important dates & deadlines?

Application Deadline

23 Oct 25, 11:59 AM IST

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