CTO / Head of Research – AI & Quantitative Asset Pricing

1 day ago

Tel Aviv, Tel Aviv, Israel AlphaBeta Full time

CTO / Head of Research – AI & Quantitative Asset Pricing

We are hiring a
CTO / Head of Research
to lead quantitative research and technology for
ML-driven investment strategies
. This is a combined role responsible for
alpha research, research infrastructure, and production deployment
, with direct ownership of translating
academic ideas into live investment systems
.

The role is suited for a
senior quantitative researcher
with deep expertise in
machine learning, asset pricing, and financial markets
, and experience operating in or close to
hedge fund / systematic investing environments
.

Responsibilities

Research & Alpha

  • Lead research in
    ML / deep learning–based asset pricing and return forecasting
    .
  • Design, validate, and oversee
    systematic trading and portfolio construction frameworks
    .
  • Ensure research rigor: data handling, backtesting, validation, and risk controls.
  • Own the
    research-to-production pipeline
    , including model handoff and monitoring.

Technology

  • Define and own the
    research and production tech stack
    .
  • Oversee data pipelines, research infrastructure, and live model deployment.
  • Establish standards for
    reproducibility, versioning, and MLOps
    .
  • Make architecture decisions balancing research flexibility and production stability.

Leadership & Collaboration

  • Manage a
    small, high-quality team
    of quantitative developers and researchers.
  • Lead collaborations with
    universities, PhD students, and academic researchers
    .
  • Work directly with leadership on
    strategy, capacity, and risk
    .

Requirements

  • PhD preferred
    in a quantitative field (Finance, Economics, CS, ML, Physics, Statistics).
  • Senior experience
    in quantitative research, asset pricing, or systematic investing.
  • Strong background in
    ML / AI
    , including deep learning applied to financial data.
  • Proven ability to
    move research into production
    .
  • Solid understanding of
    financial markets, asset pricing, and portfolio construction
    .
  • Experience leading or mentoring
    small research or engineering teams
    .

Preferred

  • Experience at a
    hedge fund or systematic asset manager
    .
  • Track record of
    original research
    (academic or applied).
  • Experience supervising or working with
    PhD researchers
    .
  • Familiarity with institutional research and risk standards.

Tech Stack (Representative)

  • Python
    (primary); optional C++ / Rust
  • PyTorch / TensorFlow / JAX
  • pandas, NumPy, SQL
  • AWS
    , Docker, Terraform
  • Research backtesting and model deployment pipelines

Industry

Quantitative Investment Management

Employment Type

Full-time

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