Employer hiring guide

Goldman Sachs

Finance · US · UK · GLOBAL

8candidate experiences

Candidate experiences

What candidates experienced

Based on 8 candidate experiences.

Experiences vary by role, level, location and year. These findings describe the experiences in this dataset, not every applicant.

What stands out

Details a standard process page usually leaves out

Every pattern shows how many relevant experiences support it and how many contained the detail needed to assess it.

01
Assessment styleAlgorithmic problem-solving
4 of 6 experiences with assessment details
02
Assessment styleProject and technical deep dive
3 of 6 experiences with assessment details

Common process

How candidates moved through the process

These are stages and ranges reported by candidates, not a fixed company-wide interview route.

4 of 6offer stage · 67%
3 of 6hiring manager · 50%

1–6 roundsReported among 7 experiences with round information.

Assessment themes

What the interviews actually focused on

Each line uses only experiences containing relevant assessment detail, so missing information does not dilute the denominator.

Overall assessment style

4 of 6algorithmic problem-solving · 67%
3 of 6project and technical deep dive · 50%

Coding and online assessment

4 of 7algorithms and data structures · 57%

System design

4 of 7system design · 57%

Behavioural and culture

7 of 7behavioural discussion · 100%

Projects and case studies

Not enough similar experiences yet to show a common pattern.

Candidate preparation

What candidates recommend preparing

These patterns come only from experiences that included preparation detail.

Not enough candidate experiences contain a shared preparation pattern yet.

Communication and outcomes

How the process ended

Response

Heard-back and left-waiting findings use 8 experiences with a known response. Pending and unknown experiences are excluded.

Heard back7 of 888%

Left waiting1 of 813%

Pending0 of 8Count among all included experiences

Unknown0 of 8Count among all included experiences

Blanked after interview0 of 70%

Reported outcomes

Raw counts among 7 experiences with a reported final outcome. These are not hiring probabilities.

4Offers

3Rejections

0Ongoing

0Withdrew

0Declined or altered offers

Candidate findings

What individual experiences reveal

Each row describes one candidate experience and keeps its process, assessment and outcome context together. It is not a company-wide claim.

Candidate finding · Software engineering · India · 2025

One candidate experience reported assessment focused on algorithmic problem-solving, concurrency, and system-design trade-offs.

Reported route

Coding → System design → Hiring manager → Offer stage

Assessment focus

Algorithmic problem-solving · Concurrency · System-design trade-offs · Project and technical deep dive · Algorithms and data structures · APIs and data processing · Distributed systems · Behavioural discussion

How they prepared

System-design trade-offs

Process shape

Full Loop · about 6 rounds · Timing was reported, but not in a consistent range · Live Coding / System Design

Communication and outcome

The employer replied. Outcome: Offered

The experience placed emphasis on algorithmic problem-solving, concurrency, and system-design trade-offs. Preparation guidance focused on system-design trade-offs.

Candidate finding · Software engineering · India · 2025

One candidate experience reported assessment focused on project and technical deep dive.

Reported route

Online assessment → System design

Assessment focus

Project and technical deep dive · Online assessment · API and service design · Behavioural discussion

How they prepared

System-design trade-offs · Role-specific fundamentals

Process shape

Assessment Only · about 2 rounds · Timing was reported, but not in a consistent range · Online Assessment / Live Coding / System Design

Communication and outcome

The employer replied. Outcome: Rejected

The experience placed emphasis on project and technical deep dive. Preparation guidance focused on system-design trade-offs and role-specific fundamentals.

Candidate finding · Software engineering · United States · 2025

One candidate experience reported assessment focused on algorithmic problem-solving and project and technical deep dive.

Reported route

Hiring manager → Offer stage

Assessment focus

Algorithmic problem-solving · Project and technical deep dive · Algorithms and data structures · System design · Behavioural discussion

Process shape

Full Loop · about 5 rounds · Timing was reported, but not in a consistent range · Live Coding

Communication and outcome

The employer replied. Outcome: Offered

The experience placed emphasis on algorithmic problem-solving and project and technical deep dive.

Candidate finding · Software engineering · India · 2025

One candidate experience reported assessment focused on algorithmic problem-solving.

Reported route

Onsite loop → Offer stage

Assessment focus

Algorithmic problem-solving · Algorithms and data structures · System design · Behavioural discussion

How they prepared

Role-specific fundamentals

Process shape

Full Loop · about 5 rounds · Timing was reported, but not in a consistent range

Communication and outcome

The employer replied. Outcome: Offered

The experience placed emphasis on algorithmic problem-solving. Preparation guidance focused on role-specific fundamentals.

Dataset context

What is represented in this view

Coverage changes with the filters above, so the context stays attached to every finding.

8Candidate experiences

7Reached interview

4Full-loop experiences

1Role families represented

2Broad locations represented

2025Interview years represented

Heard back among known responses7 of 8

Reported rounds · 7 with detail1–6

Commonly reported stagesoffer stage · hiring manager