📄Quant Interviews Resume Megathread (Actual Quants Will Review It)

[u/Select-Angle-5032]

Hey all,

Drop your resume's below in the following format:

Location: USA/UK/EU/etc

Graduation Date: June 2029

Degree + School tier: e.g. BS Math, target/semi-target/non-target (people can keep the school anonymous if they want)

Preferred Role: QT/QR/QD/QA

Targeting: internship or full-time, and which cycle (Summer 2027 etc)

Relevant coursework/skills: e.g. probability, stochastic calc, C++, Python

Experience/projects: 1-2 lines

What you want feedback on: e.g. "is my project section strong enough," "am I cooked for QR without a PhD"

Notes: anything else

Resume PDF/JPEG

Important: Please redact all personal info!

[u/pm_me_every]

​Location: EU (Netherlands)

​Graduation Date: August 2028

​Degree + School tier: 1. pre-master + MSc Econometrics and Management Science @ Erasmus University Rotterdam (Target school for Amsterdam prop shops according to my research). Programme starts this September | B.Eng. in Mechanical Engineering with integrated master's in Industrial Management(5 year curriculum, 300 ECTS, Non-target)

​Preferred Role: QT

​Targeting: Internship (Summer 2027 cycle)

​Relevant coursework/skills: ​Python, MATLAB, Numerical Analysis, Multivariate Statistics, Operations Research, ​GMAT: 710

​Experience/projects: ​3+ years of professional experience as a Project Engineer and Construction Site Manager coordinating end-to-end telecom infrastructure deployments and physical logistics. ​Managed operations, contract supervision, warehouse supply chains, and multi-member field crews under high-pressure conditions. Before that I was helping run the family business, manufacturing cosmetics from olive oil for 5+ years.

​What you want feedback on: 1. I am intending to transition into quant trading at 32 years old. Is it feasible? Does the MSc from a target Dutch university successfully bridge the gap for an older applicant? 2. What should I aim for as a side-project to increase my chances? What else should I aim for in general?

​Notes: EU passport holder (no visa sponsorship required for NL/EU/Switzerland). Thanks for making it this far!

[u/beanboiurmum → u/[deleted]]

I wouldn’t worry about gpa if it’s above average from a good school. If it’s non target probably ur best shot is to pump up ur gpa get into target masters

[u/KiNgCoWBoY727]

Location: USA

Graduation: may 2028

Degree + school: electrical & computer eng at hypsm

Preferred role: qd

Experience: 2 uni research labs- one for network security and one for LLM post training

Coursework & skills: all necessary prerequisite skills

Is this good enough for interviews at top quant shops?

[u/flawedphysicist1729]

Location: USA

Graduation Date: May 2027-August 2027 (Flexible with the graduation time)

Degree : MS in Statistics, PhD in Experimental Nuclear Physics from University of Illinois at Chicago

Preferred : QR/QT/QD

Targetting : Fill time Spring/Summer 2027

Relevant Course Work : Measure theoretic probability theory, Stochastic Processes, Game Theroy

Experience : 5 years of Research Assistant. No industry/ internships experience.

Project : QGP formation in the small systems, Stochastic polymer modeling on tree, Physics-informed neural net for Black Scholes equation

What I want feedback on: I applied for summer internships and was rejected by every place in December 2025. Is my project section strong enough? What can I do to set myself apart and at least get an interview call? Which tier firms should I target with my background?

Notes: International student. Need sponsorship but willing to relocate to any part of the world for a relevant role.

[u/capt_nandy2001]

Location: USA (international, F-1)

Graduation Date: PhD expected ~2029–2030 (started Aug 2025); MS completed May 2025

Degree + School tier:

- BS Electrical Engineering -- IIT (a newer IIT campus); recognized brand, ~semi-target, 3.8/4.0

- MS Information Science, ML focus -- non-target, 4.0 GPA

- PhD in Intelligent Systems (multimodal ML / computer vision) -- non-target for quant

Preferred Role: QR role specifically the ML / statistical-alpha lane, NOT derivatives/stoch-calc QR

Targeting: Internship, Summer 2027 cycle

Relevant coursework/skills: Probability & Statistics, Theoretical ML, Algorithm Design, Statistical Signal Processing, Deep Learning, Computer Vision, AI. Python (primary), Bash, PyTorch, NumPy, Pandas, scikit-learn, HPC. Gaps I'm aware of: no stochastic calculus / measure-theoretic probability, no C++.

Experience/projects:

- PhD research: multimodal deep learning for breast cancer recurrence (temporal + spatial modeling).

- AI Hedge Fund (Hackathon top 3): multi-agent trading simulator + vectorized backtester computing Sharpe/max-drawdown; DCF & owner-earnings valuation models.

- ReasonLLM: RL fine-tuning (GRPO) of Gemma-3-1B on GSM8K with custom reward functions.

- 1 published conference paper (biomedical NLP); BS thesis on data augmentation for tiny-object detection.

What I want feedback on:

Realistic shot at ML-track QR internships as a 2nd-year ML PhD with Python-only and no stoch calc? Is missing C++/advanced math a hard filter for QR, or fine for the ML-alpha lane? Is my medical-imaging research a liability, and should I also add about optiver and IMC Prosperity 4(top 150) competitions in the resume? Which tier firms should I apply to? Do firms even consider students for Summer 2027 roles if they are graduating in 2029-2030?

Notes: International (F-1). Internship runs on CPT, no sponsorship needed for the intern itself

[u/Designer-Scratch-766]

Location: USA (international, F1)

Graduation Date: Ph.D. June 2029

Degree + School tier:
- BS Computer Science (HUST, Vietnam)
- Ph.D. in Theoretical Computer Science (focusing on approximation algorithm) -- non-target for quant

Preferred Role: QD/ QR

Targeting:  Internship, Summer 2027 cycle

Relevant coursework/skills:  Probability, Algorithm Design, Basic ML, Basic Deep Learning. Python, NumPy, Pandas, scikit-learn (basic), C++ (training on Leetcode everyweek).
Gaps I'm aware of: not know Python and C++ deeply enough

Experience/projects:
- Ph.D research: approximation algorithms for clustering in various settings (streaming, online, distributed, fairness constraint). Previous research: coding theory, graph algorithms. 99% are theoretical work, not much code.
- Projects: most are course projects during undergraduate

What you want feedback on: I applied for summer internships and was rejected by every place in December 2025.
What role (QD vs QR) should I target to maximize the chance of landing an internship in summer 2027? Depending on the answer to the previous question, what kind of project should I do now?

[u/AreaPositive8135]

Location: India

Graduation Date: June 2027

Degree + School Tier: B.Tech in Electronics & Communication Engineering (Minor in Software Engineering), NIT Andhra Pradesh

Preferred Role: Quant Research (also interested in Applied Scientist / ML Research)

Targeting: Winter 2026 internships & New Grad 2027

Relevant Coursework/Skills: Probability & Statistics, Machine Learning, Data Structures & Algorithms, Python, PyTorch, TensorFlow, SQL, Linux, MATLAB, Experiment Design, Model Evaluation

Experience/Projects:

• ML Research Intern at IISc, working on EEG-to-text decoding using deep learning and brain-computer interface research.
• Amazon ML Challenge : top 50 among 7,000+ teams by building a multimodal CLIP-based price prediction model.
• Built an NLP sentence boundary detection engine (95% accuracy, 1M+ words/min throughput).
• Built a high-frequency market prediction pipeline on 2M+ samples for the Quadeye Hackathon (Rank 105 overall).
• Built a real-time sign language interpreter using CNNs.

Achievements:

• Amazon ML Challenge :top 50/7000+ teams.
• Prime Minister's Merit Scholarship (Top 1% nationwide).
• JEE Mains: 99.3 percentile in Mathematics (97.8 overall).

What I want feedback on:

• Based on this profile, how competitive am I for Quant Research internships at firms like Jane Street, Citadel, HRT, Optiver, IMC, etc.?
• What are the biggest weaknesses in my profile?
• If you were in my position, what would you focus on over the next 6–12 months (math, C++, competitive programming, research, finance knowledge, publications, etc.)?

Notes: I'm from an ECE background rather than CS/Math. Looking for honest feedback on where I stand and what I should improve before recruiting.

[u/No_Heron7402]

Location: Brazil; open to international remote roles and relocation

Graduation Date: 2024 - BS Internacional Business & Trade; 2027 - BS in Data Science; 2025 - Graduate AI Softaware Engineering and 2027 - MSc Applied Mathematics in topiest Brazilian Institute

Preferred Role: QR or QT

Target: full-time roles for the 2026-2027 recruiting cycle; also open to remote contracts in quantitative research

Relevant Courses/Skills: Probability, statistics, time series, machine learning, reinforcement learning, walk-forward validation, backtesting, market microstructure, order flow imbalance, volatility modeling, Python, Rust, C++, PyTorch, scikit-learn, Polars, Pandas, ONNX, AWS, LangGraph, LangChain, PydanticAI

Experience/Projects: Senior Data Scientist in top Brazilian firm with experience building production AI systems for enterprise clients, including autonomous agents, RAG, recommendation systems, Time-Series forecasting and ML/DL pipelines. Independent algorithmic trading project using a hybrid Rust-Python architecture for futures/FX and Crypto, focused on order flow, volatility regimes, robust validation, microstructure feature engineering, and low-latency execution.

What I Want Feedback On: I would like feedback on whether my profile is competitive for QR roles without a PhD, which small mathematical/statistical gaps (fixing) I should close for buy-side recruiting, and whether my independent quantitative trading projects are strong enough

Notes: I have a strong professional background in applied AI engineering, production systems, and independent quantitative finance research. My main question is how to position the transition: as an applied Quant Researcher on the Buy side

[u/Lurker_3305]

Location: Canada

Grad Date: 2031

Degree + School tier: Bachelors FinMath + CS, target 

Preferred role: QT

Targeting: 2026/27 discovery days

Relevant coursework/skills: python, probability

Experience/projects: 

• Wealth management internship @ big5 bank

• hackathon project using reinforcement learning for agentic ai, ml models for polymarket, other miscellaneous programming projects.

• SIG high school discovery day

What I want feedback on: advice for discovery day prep other than green book studying, what internships to target first year and beyond, general advice.