Standard Chartered is hiring for the position of Data Analyst/ Analyst – Retail Analytics in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Standard Chartered |
| Position | Data Analyst/ Analyst – Retail Analytics |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers (0 – 2 Years) |
| Location | Bangalore, India |
Key Responsibilities for Data Analyst:
- Demonstrate strong logical reasoning and problem-solving skills.
- Effectively address real-world banking and finance challenges with innovative, out-of-the-box ideas.
- Exhibit excellent verbal and written communication abilities.
- Work proficiently with data organized across diverse platforms and formats.
- Interpret complex datasets to extract actionable insights.
- Function as a strong team player with confidence, attentiveness, and motivation.
- Possess a solid understanding of Business Intelligence and Data Analytics tools and techniques.
- Ensure the quality of deliverables is maintained within the stipulated timeframe.
- Collaborate effectively across departments and stakeholders to achieve desired outcomes within the bank.
Key Responsibilities for Analyst – Retail Analytics:
- Develop statistically derived predictive models for risk and credit scoring in retail banking and small business lending portfolios.
- Conduct decision tree-based customer segmentation and profiling analyses.
- Assist in the business implementation of advanced scoring models to enhance decision-making processes.
- Provide analytical support to Standard Chartered businesses globally, ensuring alignment with strategic objectives.
- Leverage expertise in statistics, applied mathematics, and SAS programming to perform risk analytics.
- Demonstrate a strong understanding of retail banking and small business lending operations to drive effective risk model development.
Eligibility Criteria:
- Bachelor’s or advanced degree (Master’s or higher) in Statistics, Applied Mathematics, Operations Research, Economics, Engineering, or a related quantitative discipline.
- Strong understanding of retail banking, small business, or consumer finance products and their business life cycles, including sales, underwriting, portfolio management, marketing, and collections.
- 0–2 years of experience in quantitative analysis and statistical modeling, particularly in credit risk, marketing, or portfolio strategy for retail banking, small business, or consumer finance portfolios.
- Proficient in statistical programming using SAS (preferred) or similar tools, with strong analytical skills and a solid grasp of quantitative and statistical analysis.
- Hands-on experience in data mining and analyzing data patterns to derive actionable insights.
- Demonstrated proficiency in scorecard development is an added advantage.
- Experience in direct interaction with business stakeholders and exposure to international markets is a plus.
Skills and Experience:
- Analytical / Strategic / Conceptual thinking
- Attention to detail
- Problem solving
- Verbal/Written communication
- Presentation skills
- Highly motivated, organized and methodical
- Modelling
- SAS
About Company:
We are a leading international banking group, with a presence in 53 of the world’s most dynamic markets and serving clients in a further 64. Our purpose is to drive commerce and prosperity through our unique diversity, and our heritage and values are expressed in our brand promise, here for good.
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