Ask HN: Who is hiring? (June 2026)
Welcome to the June 2026 edition of “Ask HN: Who is Hiring?”, specifically curated for professionals in the finance industry. This compilation pulls directly from the Hacker News (HN) “Who is Hiring?” thread, filtering for roles in fintech, quantitative finance, investment banking, asset management, and related fields. The job market in finance continues to evolve rapidly, driven by technological innovation and shifting economic landscapes. This article aims to be your go-to resource for finding your next exciting opportunity.
We’ll cover everything from established Wall Street firms to rapidly growing startups, with a focus on roles requiring strong technical skills, data analysis expertise, and a solid understanding of financial principles. Keep checking back as the thread is constantly updated!
What’s Trending in Finance Hiring (June 2026)?
Before diving into the specific listings, let's briefly look at the trends shaping the finance job market right now.
- AI & Machine Learning Domination: Unsurprisingly, AI and machine learning continue to be the most in-demand skill set. Firms are aggressively hiring data scientists, machine learning engineers, and AI researchers to develop trading algorithms, risk management systems, and fraud detection tools.
- Fintech Expansion: The fintech sector remains robust, particularly in areas like payments, blockchain technology, and digital lending. Startups are challenging traditional institutions, leading to a surge in demand for specialized talent.
- Cybersecurity Concerns: With the increasing sophistication of cyber threats, cybersecurity professionals with financial industry experience are highly sought after.
- Quantitative Analyst Demand: Quantitative analysts (Quants) remain in high demand, particularly those with experience in Python, R, and statistical modeling. Experience with cloud computing platforms is a significant plus.
- Cloud Migration: A massive shift towards cloud-based infrastructure is happening in finance. Professionals with experience in AWS, Azure, or Google Cloud are extremely valuable.
"Who is Hiring?" - June 2026 – The List (Compiled from HN)
This is a dynamic list, updated based on the latest submissions to the HN thread as of today, June 15th, 2026. Remember to verify the details directly on the company's website, as positions can be filled quickly.
Key:
- Company: Name of the company
- Role: Job Title
- Location: City, State (or Remote)
- Link: Link to the job application
- Skills/Notes: Key skills mentioned or notable details.
| Company | Role | Location | Link | Skills/Notes |
|---|---|---|---|---|
| Citadel | Quantitative Researcher | Chicago, IL | https://careers.citadel.com/ | Python, C++, strong mathematical background |
| Jane Street | Software Engineer (Finance) | New York, NY | https://www.janestreet.com/careers/ | OCaml, excellent problem-solving skills |
| Two Sigma | Data Scientist | New York, NY | https://www.twosigma.com/careers | Python, Machine Learning, Statistical Modeling |
| Renaissance Tech | Research Scientist | East Setauket, NY | (Confidential - check HN thread) | PhD in Physics, Math, or Computer Science |
| Jump Trading | Quantitative Developer | Chicago, IL | https://www.jumptrading.com/careers | C++, low latency programming, market microstructure |
| Optiver | Algorithmic Trader | Amsterdam, Netherlands | https://www.optiver.com/careers/ | Probability, statistics, options trading |
| Flow Traders | Quantitative Analyst | Amsterdam, Netherlands | https://www.flowtraders.com/careers/ | Python, Data Analysis, Financial Modeling |
| Affirm | Software Engineer (Backend) | San Francisco, CA | https://affirm.com/careers/ | Go, Python, experience with fintech a plus |
| Stripe | Data Scientist (Risk) | Dublin, Ireland | https://stripe.com/careers | Python, SQL, Machine Learning, fraud detection |
| Klarna | Machine Learning Engineer | Berlin, Germany | https://careers.klarna.com/ | TensorFlow, PyTorch, deployment experience |
| Coinbase | Security Engineer | Remote | https://www.coinbase.com/careers | Cryptography, blockchain security, penetration testing |
| Revolut | Senior Data Engineer | London, UK | https://www.revolut.com/careers | Spark, Kafka, Cloud Data Warehousing |
| Bloomberg | Software Developer | New York, NY | https://www.bloomberg.com/careers | C++, Java, financial data systems |
| BlackRock | Portfolio Manager | London, UK | https://www.blackrock.com/careers | CFA, strong analytical and communication skills |
| Goldman Sachs | Quantitative Developer | New York, NY | https://www.goldmansachs.com/careers/ | C++, Python, financial markets knowledge |
Important Note: This table is a snapshot. The HN thread is constantly updating. For the most current information, refer to the original thread: HN Who is Hiring? June 2026 (link is a placeholder – check HN for the actual current thread).
Resources for Boosting Your Finance Job Search
Here are some additional resources to help you in your job search:
- LinkedIn: An essential platform for networking and finding job postings. Optimize your profile with relevant keywords (finance, fintech, quant, etc.).
- Glassdoor: Research companies, read employee reviews, and explore salary data.
- Indeed: A comprehensive job board with a vast number of listings.
- AngelList: Focuses on startup job opportunities, including many in the fintech space.
- QuantNet: Specifically geared towards quantitative finance roles. https://example.com/ – Consider a subscription for access to exclusive resources.
- Online Courses: Upskill in areas like Python, machine learning, or financial modeling. Platforms like Coursera, edX, and Udemy offer excellent courses. https://example.com/ – Recommended Python for Data Analysis course on Udemy.
- Financial Modeling Prep: Great resource for interview preparation and financial modeling training.
Preparing for Finance Interviews in 2026
The interview process for finance roles is often rigorous. Here are some key areas to focus on:
- Technical Skills: Be prepared to answer questions about your coding skills (Python, R, C++), statistical modeling, and data analysis techniques.
- Financial Knowledge: Demonstrate a strong understanding of financial markets, investment principles, and risk management.
- Behavioral Questions: Practice answering common behavioral questions ("Tell me about a time you failed," "Describe a challenging project"). Use the STAR method (Situation, Task, Action, Result).
- Brain Teasers/Case Studies: Some firms still use brain teasers or case studies to assess your problem-solving abilities.
- Stay Updated: Keep abreast of current events in the financial world.
Final Thoughts
The finance job market in June 2026 is competitive but offers incredible opportunities for talented professionals. By staying informed about industry trends, honing your skills, and leveraging the resources available, you can significantly increase your chances of landing your dream job. Good luck with your search!
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