Data Analyst

Candidates typically face a three‑stage process: an online aptitude test, a technical interview focusing on SQL, Python, data‑pipeline design and risk‑domain knowledge, followed by an HR round that assesses cultural fit and communication skills. The difficulty is moderate; thorough preparation on data‑wrangling and risk concepts helps.

Standard Chartered promotes a collaborative and inclusive work environment where learning is continuous and employees are encouraged to innovate. The bank offers flexible working options, robust wellbeing programs and clear career progression pathways, ensuring a healthy work‑life balance.

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering or related technical field; minimum 60% aggregate (or CGPA 6.5/10); fresh graduates of 2025‑2026 batches; no active backlogs at the time of joining; strong analytical mindset and proficiency in SQL, Python and Excel.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview covering SQL, Python, data‑wrangling and risk concepts → Round 3: HR interview focusing cultural fit and behavioural questions

Standard Chartered Bank is a globally recognised financial institution with a 170‑year heritage of serving clients across more than 60 markets. The bank prides itself on a purpose‑driven culture that blends commercial ambition with a strong commitment to societal impact, diversity and inclusion. Its Indian operations, especially in Chennai, are known for leveraging cutting‑edge technology to deliver risk‑aware solutions for corporate and retail banking. The Analyst, Data Strategy role sits within the Risk Data Hub, a critical unit that supports the Group Risk Function and the CEO of the Corporate & Institutional Banking (CIB) division. This is a Fixed‑Term Worker (FTW) position that works full‑time from the office, focusing on end‑to‑end data sourcing, transformation, and delivery of high‑quality risk data for downstream analytics, reporting and visualisation. The analyst will partner with risk‑reporting teams, stress‑testing, IFRS‑9 and credit‑risk modelling groups to turn raw data into actionable insights. Key Responsibilities: 1. Establish and monitor BAU controls for data quality within GBS. 2. Collaborate with partner teams to design next‑generation data products and analytics solutions. 3. Analyse problem statements and propose data‑driven solutions, building prototypes and gathering stakeholder feedback. 4. Conduct rigorous validation and data‑quality checks before delivery. 5. Work with senior stakeholders across risk, audit, and technology to address strategic risk‑management needs. 6. Lead the migration of proof‑of‑concept projects into production environments. 7. Champion the bank’s culture and values, acting as a role model for ethical conduct. 8. Identify, assess and mitigate data‑quality risks in line with Group BCBS‑239 standards. 9. Provide timely, high‑quality responses to internal and external queries. 10. Ensure compliance with regulatory and business conduct standards. Tech Stack: SQL, Python, SAS, Excel Automation, Tableau, data‑modeling tools, and exposure to machine‑learning libraries. Growth Path: Successful analysts can progress to senior analyst, data‑product manager, or risk‑analytics specialist roles, eventually moving into leadership positions within Enterprise Risk Analytics or the broader Data & Analytics community. Why Join Standard Chartered? The bank offers a purpose‑driven career, competitive compensation, robust learning programs, and a culture that celebrates diversity and inclusion. Fresh graduates get exposure to global risk frameworks, cutting‑edge technologies, and mentorship from seasoned risk professionals, making it an ideal launchpad for a career in data‑driven risk management.