Prepare for your Goldman Sachs research interview

Quantitative analysis, algorithmic trading, and financial innovation for Goldman Sachs research roles.

Socratify AI

The Interview

What Goldman Sachs is looking for

Algorithmic Trading Interview

Algorithmic Trading

01Algorithm Design

02Market Impact

03Execution Quality

04Risk Control

Data Analysis Interview

Quantitative Analysis

01Data Interpretation

02Pattern Recognition

03Model Building

04Validation Rigor

Innovation Interview

Financial Innovation

01Problem Identification

02Creative Solutions

03Implementation Feasibility

04Business Impact

Quantitative innovation at scale//High-frequency trading expertise//Investment strategy depth

Practice Library

Goldman Sachs exercises

Ready to ace your Goldman Sachs research interview?

Prepare for your Goldman Sachs research interview

Quantitative analysis, algorithmic trading, and financial innovation for Goldman Sachs research roles.

Socratify AI

The Interview

What Goldman Sachs is looking for

Algorithmic Trading Interview

Algorithmic Trading

01Algorithm Design

02Market Impact

03Execution Quality

04Risk Control

Data Analysis Interview

Quantitative Analysis

01Data Interpretation

02Pattern Recognition

03Model Building

04Validation Rigor

Innovation Interview

Financial Innovation

01Problem Identification

02Creative Solutions

03Implementation Feasibility

04Business Impact

Quantitative innovation at scale//High-frequency trading expertise//Investment strategy depth

How It Works

Master Goldman Sachs Research Interviews

Algorithmic trading, quantitative analysis, and financial innovation for Goldman Sachs roles. · Click to expand

1Your Grad School Goals

Research Methodology

Practitioner

Technical Problem Solving

Practitioner

2Grad School Case Prep

Design an algorithm to execute a large equity order while minimizing market impact. What...

LEARNHard

Goldman Sachs

3Frameworks

Framework

Advisor capacity and mentorship constraints?

Students per advisor increasing?

Avg advisees per faculty: 7.2 (was 5.8 two years ago)

Meeting frequency: 2.1x/month (target 3x/month)

Research direction instability slowing progress?

Thesis direction changes: 1.8x per student (target: 1.0)

Months lost to re-scoping: avg 4.3 months per pivot (n=23)

Research infrastructure and resource bottlenecks?

Computational resource constraints?

GPU cluster wait time: avg 18 days (benchmark: 3 days)

Experiments delayed >1 month: 34% of runs

Data access and curation delays?

Custom dataset curation time: avg 2.1 months

Data governance reviews extending timeline by 6–12 weeks

Funding constraints affecting student support and recruitment?

Stipend or scholarship instability?

Students working outside research: 22% (benchmark: 8%)

Average time diverted: 8 hours/week outside core work

Candidate quality declining due to lower visibility?

PhD applicant pool size: -18% YoY

Accepted students choosing competitors: 32% (up from 18%)

4Feedback

Research Rigor

Distinctive

Problem Formulation

Strong

Technical Depth

Meeting Bar

Communication Clarity

Strong

Repeat

Practice Library

Goldman Sachs exercises

Design an algorithm to execute a large equity order while minimizing market impact. What...

LEARNHard

Finance · Algorithm DesignGoldman Sachs

Analyze a dataset showing trading patterns and propose a hypothesis about market...

LEARNHard

Finance · Data AnalysisGoldman Sachs

Propose a new financial product or trading strategy that could give Goldman a...

BEHAVIORALHard

Finance · InnovationGoldman Sachs

Tell me about research you've done that had measurable business impact.

BEHAVIORALMedium

Behavioral · ImpactGoldman Sachs

How do you approach a problem where you have limited data or unclear market dynamics?

BEHAVIORALMedium

Behavioral · Problem SolvingGoldman Sachs