Full-Time

Quantitative Researcher

K4

K4

11-50 employees

Online men's leadership program

No salary listed

New York, NY, USA

Hybrid

Master's, PhD

Category
Quantitative Finance (1)
Required Skills
Rust
Python
Quantitative Research
Git
Machine Learning
Pandas
Risk Management
NumPy
C/C++

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Requirements
  • A Ph.D. or M.S. in a quantitative field such as Physics, Mathematics, Statistics, Computer Science, or Electrical Engineering is required.
  • Fluency in Python, NumPy, SciPy, and Pandas for data analysis and research is required.
  • A deep understanding of probability theory, linear algebra, and regression analysis is required.
  • An intuitive understanding of overfitting and look-ahead bias is required.
  • Individuals should demonstrate intellectual curiosity and a first-principles approach to problem-solving.
Responsibilities
  • Originate and validate hypotheses to predict asset returns.
  • Apply advanced statistical techniques, including time-series analysis, machine learning, and stochastic calculus, to forecast price movements over various time horizons.
  • Extract predictive signals from non-traditional, messy datasets specific to frontier markets, including on-chain data, fragmented order books, and alternative geospatial data.
  • Identify and exploit structural dislocations in markets that are difficult or opaque to trade automatically.
  • Turn raw predictions into a cohesive, risk-managed trading strategy through portfolio construction and optimization.
  • Develop robust covariance matrices and risk constraints to manage black swan events and volatility shocks.
  • Allocate capital efficiently across hundreds of uncorrelated strategies through position sizing.
  • Research market microstructure and understand how orders interact with the matching engine.
  • Analyze fill data to understand market impact and adverse selection mechanics.
  • Collaborate with engineers to reverse-engineer exchange behavior and optimize order placement logic for specific frontier venues.
Desired Qualifications
  • Proficiency in C++ or Rust is highly desirable.
  • A research portfolio on SSRN, arXiv, or GitHub demonstrating creativity in data selection and rigorous methodology is particularly of interest.

K4 runs a men’s leadership community and an online program called the K4 Rite of Passage that provides tools for personal and professional growth. The 12- to 13-week self-directed course includes weekly video modules, exercises, and challenges, plus access to a private community, and uses archetypes (King, Warrior, Magician, Lover) and The Hero’s Journey to guide learning. It differentiates itself by grounding its approach in masculine archetypes and real-world leadership experience from veterans, first responders, and teams at Apple and SpaceX, while blending ancient wisdom with modern psychology and prioritizing peer accountability. The goal is to help men transform insights into lasting progress and build a sense of legacy through disciplined development and community.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Dublin, California

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • K4's website updated August 21, 2025, showing active maintenance and sales motion.
  • Savage and Saint featured K4 on July 28, 2026, signaling ongoing top-of-funnel interest.
  • K4 claims 1,000-plus men, giving social proof and network effects inside the community.

What critics are saying

  • K4 depends on Wenner and Folsom; founder disengagement directly weakens product credibility.
  • K4 routes members through private Facebook, exposing retention to Meta policy changes.
  • A self-directed course offers thin moat; competitors can copy K4's curriculum quickly.

What makes K4 unique

  • Joshua Wenner and Philip Folsom fuse veteranship, anthropology, and masculine-archetype coaching.
  • K4 sells a 13-week Rite of Passage, not generic weekly accountability groups.
  • K4 frames growth through King, Warrior, Magician, and Lover, creating a distinctive vocabulary.

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