Ursina Sanderink — Co-Founder

I am a Quantitative ML Researcher and the Founder of Quant Signal Lab. I specialize in architecting regime-aware algorithmic trading systems, bridging the gap between rigorous academic research and live, production-grade infrastructure. Currently completing Master's degrees in Artificial Intelligence and Financial Engineering, my work focuses heavily on solving non-stationarity in financial markets. I design fully automated, point-in-time (PIT) safe pipelines that generate risk-adjusted alpha by adapting to market drift. Recently, I engineered an institutional-grade cross-sectional equity ranker integrating Time-Series Foundation Models with Direct Epistemic Uncertainty Prediction (DEUP). By quantifying what the model "doesn't know," the system successfully predicts regime failures and dynamically gates out market crashes before they happen. 🧠 Core Technical Focus: Quant & Machine Learning • Cross-Sectional Equity Ranking & Factor Modeling • Regime Detection & Direct Epistemic Uncertainty Prediction (DEUP) • Time-Series Foundation Models (Kronos, FinText) & LightGBM • LLM Agents, RAG Pipelines, & NLP Sentiment Analysis (FinBERT) Data Engineering & MLOps • Point-in-Time (PIT) Safe Feature Stores (DuckDB, SQL) • Walk-Forward Validation & Strict Out-of-Sample Holdouts • Cloud Architecture (AWS, Hetzner VPS, Docker, Airflow) Algorithmic Execution & Risk • Automated API Routing (Alpaca) • Dynamic Volatility-Targeting & Drawdown Kill Switches • Transaction Cost Analysis (TCA) & Slippage Modeling

Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative machine learning and data engineering.

Experience: 6 yrs 4 mos

Skills

Quant & Machine Learning
Data Engineering & Mlops
Algorithmic Execution & Risk
Software Engineering

Career Highlights

Founder of Quant Signal Lab with innovative trading systems.
Expert in Quantitative ML and financial market non-stationarity.
Developed AI Stock Forecaster with outstanding performance metrics.

Work Experience

Quant Signal Lab

Founder, Researcher (4 mos)

LegalCare AI

Founder, Software Engineer (1 yr)

Luzid.Tech

Technical Project Manager (0 mo)

SoftBank Group Corp.

AI Lab Researcher (1 yr)

Airbnb

Airbnb Host (8 yrs 4 mos)

Sequoia Capital

AI Model Development Support Specialist (1 yr)

BeTranslated

Project Manager (5 yrs)

Education

Master of Science - MS at Liverpool John Moores University

Master of Science - MS at WorldQuant University

Master of Business Administration - MBA at Edinburgh Business School, Heriot-Watt University

Postgraduate Diploma at International Institute of Information Technology Bangalore

Ursina Sanderink

Co-Founder

Switzerland6 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Founder of Quant Signal Lab with innovative trading systems.
Expert in Quantitative ML and financial market non-stationarity.
Developed AI Stock Forecaster with outstanding performance metrics.

Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative machine learning and data engineering.

Contact

Skills

Core Skills

Quant & Machine LearningData Engineering & MlopsAlgorithmic Execution & RiskSoftware Engineering

Other Skills

PythonLightGBMDuckDBTime-Series Foundation ModelsAWSDockerAlpaca APIData EngineeringMachine LearningJavaSwiftGPT APIRNNTensorFlowDeepLearning

About

Experience

6 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

4 mos

Current Experience

Quant signal lab

Founder, Researcher

Jan 2026 – Present · 4 mos

Declined offers from Apple and Swiss finance to architect Quant Signal Lab - the foundational infrastructure for an autonomous, single-manager systematic fund. I bridge the gap between advanced machine learning research and live, point-in-time safe trading execution. My overarching research focus is solving the meta-allocation problem: engineering regime-aware frameworks that dynamically route capital across an ensemble of automated strategies.
Key Engineering & Research Accomplishments:
The AI Stock Forecaster: Architected a fully automated, cross-sectional equity ranking system targeting the AI sector. The production model achieved a 2.34 Sharpe, an 85.7% monthly hit rate, and a 228.8% geometric CAGR in the 14-month strict 2024+ out-of-sample holdout.
Two-Level Uncertainty & Regime Gating: Implemented Direct Epistemic Uncertainty Prediction (DEUP) to handle non-stationary market regimes. Engineered a dynamic regime-trust gate that accurately predicts strategy failure before crashes (AUROC = 0.75), enabling safe deployment via binary abstention.
Robust Data Engineering: Engineered a strict point-in-time (PIT) safe feature store using DuckDB, handling complex delistings and timestamp validation without data leakage. Rigorously evaluated across 109 walk-forward folds.
Layered Risk Infrastructure: Built a production-ready risk engine with 88 automated tests, featuring target volatility sizing (20% annualized), a -12% drawdown kill switch, and automated execution routing via the Alpaca API.
Open Research: Authored and published the formal research paper documenting the underlying DEUP regime-gating mathematics.
Tech Stack: Python, LightGBM, DuckDB, Time-Series Foundation Models (Kronos, FinText), AWS / Hetzner VPS, Docker, Alpaca API.

PythonLightGBMDuckDBTime-Series Foundation ModelsAWSDocker+3

Legalcare ai

Founder, Software Engineer

Feb 2023 – Feb 2024 · 1 yr

Developed and launched LegalCare, an innovative app offering free AI-powered legal advice, among the first to feature the GPT API in the Android store.
Mastered Java and Swift/Xcode for cross-platform app development on Android and iOS, integrating the GPT-3.5 Turbo model within two weeks of its release.
Engineered a unique conversational memory feature, leveraging data structure expertise for nuanced, context-aware user interactions.
Solely designed the app's front-end interface, ensuring a seamless blend of functionality and user-centric design

JavaSwiftGPT APISoftware Engineering

Luzid.tech

Technical Project Manager

Jan 2023 – Jan 2023 · 0 mo · Remote

AI-Driven Development: Trained internal teams on advanced AI techniques—RAG, prompt engineering—to radically boost developer efficiency and productivity.
PetHealthData/Booklet: Delivered a streamlined platform connecting vets directly with pet owners in under 6 months, earning outstanding user feedback.
Scalable Web Apps: Directed cross-functional engineering teams to build highly scalable applications, driving user satisfaction up 15%.
Strategic Recruiting: Designed and executed high-impact hiring strategies, assembling elite teams and accelerating development speed by 40%.
Project Execution: Successfully navigated project complexities, delivering innovative healthcare solutions on-time and within budget, significantly enhancing brand trust and user experience.

Softbank group corp.

AI Lab Researcher

Jan 2020 – Jan 2021 · 1 yr · Tokyo, Japan

AI researcher at DEEPCORE, an AI-focused incubator that cultivates researchers who aspire to change the world with technology.
Joined as part of the Masason Foundation (link below), a foundation that provides an environment that enables youth with high aspirations and exceptional talents to develop their skills, and contribute to the future of humankind. Founded by Masayoshi Son, Chairman and CEO of SoftBank Group Corp.
Masason Foundation:
https://masason-foundation.org/en/

Airbnb

Airbnb Host

Jan 2018 – Present · 8 yrs 4 mos

Grew my Airbnb from 0 to 100k$ revenue, making it to the top 1% highest earning Airbnbs in my area.

Sequoia capital

AI Model Development Support Specialist

Jan 2016 – Jan 2017 · 1 yr

Led efforts to enhance the preparation and organization of datasets for AI model development.
Collaborated closely with a premier global venture capital firm to achieve key project objectives.
Implemented data annotation & strategic tagging methodologies to refine dataset accuracy and support model training.
Utilized linguistic and technical skills to contribute to high-impact research and development initiatives.
Ensured the highest standards of quality and confidentiality in all project-related tasks.