Senior Analyst - Risks - Bangalore, India

SGS Société Générale de Surveillance SA; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

SGS Société Générale de Surveillance SA is hiring for a role focused on constructing modelling and monitoring bases for regulatory credit risk models in Bengaluru. The successful candidate will manage data quality and perform root-cause analysis.

Candidates should hold a Masters in a quantitative subject and possess strong knowledge of Python. A commitment to excellence and problem-solving is essential.

Qualifications

• Masters in a quantitative subject such as Mathematics, Physics, Economics, Finance or Engineering.
• Understanding of data wrangling concepts such as cleaning, organizing, and transforming raw data.
• Knowledge in Python, with exposure to SAS and/or R languages.

Responsibilities

• Construct modelling databases and analyze data quality.
• Manage case studies and challenges with minimal supervision.
• Contribute to process enhancements and rectify issues.

Skills

Data wrangling

Python

SAS

R

Communication skills

Problem-solving skills

Education

Masters in Mathematics, Physics, Economics, Finance or Engineering

Job description

Responsibilities

Construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provision (IFRS9) models.

Role Description

• Construct modelling databases and analyze the data quality for the same.
• Apply domain expertise in day‑to‑day operations.
• Contribute to the process enhancements and rectification.
• Perform root‑cause analysis and resolve any team hurdles.
• Manage simple case studies and challenges with minimal supervision.
• Review and provide feedback on standard operating procedures.
• Consistently surpass the accuracy and productivity levels.

Education

Masters in a quantitative subject such as Mathematics, Physics, Economics, Finance or Engineering, or a track record of performance that demonstrates this ability.

Qualifications

• Understanding of data wrangling concepts such as cleaning, organizing, and transforming raw data into the desired format.
• Knowledge in Python, with desired exposure to SAS and/or R languages.
• Desired familiarity with credit risk model data leveraged for PD, LGD and EAD model creation.
• Demonstrated strong communication and problem‑solving skills.
• Desired understanding of regulations governing data.

Equal Opportunity Employer

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.