Verex Markets
Quantitative Analyst
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Head of Algorithmic Risk Rating Models
Department: Quantitative Risk & Analytics
Reports To: Chief Executive Officer (CEO)
Location: Remote (Global)
Employment Type: Full-Time / Leadership Executive
Position Overview
We are seeking a Head of Algorithmic Risk Rating Models to take ownership of our core quantitative engines and execute the next phase of our growth roadmap.
Our proprietary algorithmic risk rating models covering the US stock market are fully built, proven, and operational in production. Your primary mission will be to maintain the high benchmark of success established by these models while executing our strategic expansion plan: scaling coverage across global geographic markets, broadening model scope into new asset classes, and partnering directly with institutional B2B clients to deliver tailored, high-value risk solutions.
All expansion pathways are fully mapped out on our product and research roadmap, we need an exceptional quantitative leader to execute, operate, and scale this vision.
Compensation & Equity Structure
This role offers substantial equity upside in a high-growth, technology-driven risk platform.
- Equity Grant: 1.5% total equity with a 2-year vesting schedule:
- 0.5% vested immediately upon signing.
- 0.5% vested at the end of Year 1.
- 0.5% vested at the end of Year 2.
- Cash Salary: Deferred / Milestone-Based. Market-rate cash salary (benchmarked to the candidate’s country of residence) will commence upon achieving key financial milestones (e.g., target revenue thresholds or completion of upcoming fundraising rounds).
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Key Responsibilities
Roadmap Execution & Asset/Geographic Expansion
- Maintain & Optimize Production Models: Oversee the performance, continuous calibration, backtesting, and accuracy of our live US stock market risk rating engines.
- Geographic Scaling: Execute planned rollouts extending risk scoring capabilities into international equity markets across Europe, Asia-Pacific, and emerging markets.
- Multi-Asset Class Expansion: Lead the adaptation and scaling of our quantitative frameworks into additional asset classes (e.g., Fixed Income, FX, Crypto, Commodities, and Derivatives) according to our product roadmap.
Client Solutions & B2B Personalization
- Collaborate closely with enterprise and institutional B2B clients to understand bespoke risk requirements, risk factor preferences, and integration needs.
- Lead the technical design and delivery of personalized risk scoring modules, custom parameterizations, and white-label quantitative features tailored to client portfolios.
- Act as the senior quantitative voice in key client engagements, translating complex algorithmic mechanics into clear strategic value.
Model Governance & Quantitative Operations
- Monitor production model telemetry, data pipelines, signal drift, and performance metrics to ensure zero disruption to live services.
- Maintain rigorous model documentation, validation standards, and regulatory readiness to support enterprise compliance needs.
- Build and lead an agile quantitative team as company revenue and funding milestones are met.
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Qualifications & Skills
Education & Technical Background
- Education: Degree in Quantitative Finance, Applied Mathematics, Statistics, Computer Science, Financial Engineering, or a related field.
- Programming Languages: Advanced proficiency in Python, R, and SQL; experience with production data architecture, APIs, Amplify and quantitative infrastructure.
- ML/Data Frameworks: Deep familiarity with modern machine learning libraries (PyTorch, TensorFlow, XGBoost, Scikit-learn) and explainability frameworks (SHAP, LIME).
Experience
- Quantitative risk modeling experience across capital markets, quantitative hedge funds, fintech, or ratings agencies.
- Proven track record of managing live, automated risk models and expanding quantitative product offerings into global markets or multi-asset domains.
- Experience in client-facing quantitative roles (e.g., Quant Solutions, Client Engineering, or Enterprise Product Customization).
Leadership & Execution Mindset
- High-execution orientation: ability to translate a structured roadmap into working software and client solutions without starting from scratch.
- Strong executive communication skills to engage seamlessly with enterprise B2B clients, technical teams, and C-suite leadership.
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