Online assessment · Goldman Sachs
Goldman Sachs OA Questions 2026: Coding & Aptitude Guide
Goldman Sachs online assessment questions for 2026 fresher hiring — coding difficulty, aptitude sections, and preparation strategy for engineering analyst roles in India.
Goldman Sachs OA is known for tough coding + quant-heavy aptitude. Unlike service companies, GS tests mathematical reasoning and edge-case handling. Here is the format and what to practice.
Goldman Sachs OA structure
The GS online assessment typically has two coding problems and sometimes a quant/math section. The coding problems are LeetCode medium-hard level with strict time limits. The quant section tests probability, combinatorics, and mathematical reasoning.
Unlike product companies, GS values correctness and edge-case handling over speed. Partial solutions may not score well — aim for full test-case coverage.
Coding problem patterns
GS coding problems often involve: arrays with mathematical constraints, DP with optimization, graph problems with weighted edges, and string parsing with edge cases.
- DP: coin change variants, matrix paths
- Graphs: shortest path, connectivity
- Arrays: two-pointer with math conditions
- Strings: parsing, regex-like pattern matching
- Math-heavy: GCD, modular arithmetic, probability
Quant aptitude section
If your role is Engineering Analyst or Quant, expect probability and statistics questions. Topics: conditional probability, expected value, permutations/combinations, basic linear algebra. Practice from CAT-level quant materials and probability puzzles.
After the OA — interview loop
GS typically has 2–3 technical interviews after the OA. Each covers a coding problem, CS fundamentals, and sometimes a system design or puzzle question. Behavioral focuses on teamwork, ethics, and why finance + tech.
How Apply helps for Goldman Sachs
Tailor your resume with GS JD language (Python/Java, algorithms, data structures, analytical). Use Interview prep with company set to Goldman Sachs for practice questions. Learning tracks cover DSA and system design fundamentals.