Standard Chartered is inviting applicants for the post of Analyst. Students from various disciplines can apply for the Standard Chartered Recruitment drive 2026. Interested and eligible candidates can read more details below 

Standard Chartered Recruitment 2026:

Company Name Standard Chartered
Post Name Analyst, Product Control
Salary ₹3-4 LPA*
Experience Freshers
Batch 2026 and 2025
Job Location Bengaluru
Last date to apply ASAP

Job Description:

Standard Chartered is hiring candidates for the post of Analyst.

Job Responsibilities:

  • Monitoring of key controls/ processes around Daily Pnl & Balance Sheet
  • Coordinate with teams including IT, Risk, Operations, Country Finance, and Business Finance for issue resolution.

  • Assist in the design, testing and implementation of TP data integrity/exception reports
  • Review month-end balance sheet reconciliations and substantiation activities.

  • Assist in implementation of sound controls and consistent processes to ensure adherence to IFRS9.
  • Support the classification and measurement of financial instruments under IFRS 9 guidelines.

  • Preparation and posting of month-end journals in PSGL.

Eligibility Criteria:

  • MBA or Master’s in finance
  • 2025 or 2026 pass-outs are eligible
  • CFA/FRM Certifications (preferred)

Preferred skill:

  • Financial Product knowledge
  • Accounting
  • Excel
  • Communication

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About Standard Chartered:

Standard Chartered plc is a British multinational banking and financial services company headquartered in London, England. It operates a network of more than 1,200 branches and outlets across more than 70 countries and employs around 87,000 people

Why Standard Chartered:
  • Competitive salary and benefits
  • Mental, physical, financial, and social wellbeing.
  • Core bank funding for retirement savings, medical and life insurance
  • Flexible and voluntary benefits
  • Annual leave, parental/maternity, sabbatical and volunteering leave 
  • Flexible working options
  • Continuous learning culture

How to Apply for Standard Chartered Recruitment 2026?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.

What is the role of an Analyst at Standard Chartered?

Standard Chartered analysts ensure ethics, legal compliance, and engage in risk management, resolving conduct matters with accountability.

What is the salary range for this Analyst position?

The expected salary is ₹5 LPA* for this Analyst position.

What level of experience is required for the Statistical Modeling aspect?

The role requires 0-2 years of in-depth experience in hands-on Statistical Modeling in credit risk for retail banking and consumer finance portfolios.

What is the eligibility criteria for this position?

Applicants should have a Bachelor's or Advanced (Masters or higher) Degree in disciplines like Statistics, Applied Mathematics, Operations Research, Economics, Engineering, or other quantitative fields.

What are the main responsibilities of an Analyst at Standard Chartered?

The responsibilities include embedding ethical standards, understanding and complying with laws and regulations, identifying and resolving risk and conduct matters collaboratively, and achieving outcomes defined in the Bank's Conduct Principles.

What is the preferred skill set for this role?

Desired skills comprise familiarity with retail banking, consumer finance products, and lifecycle, 0-2 years' credit risk modeling experience, SAS proficiency, strong analytics, and adeptness in data mining.