Ben-Nicholas Borowski
Storm clouds gathering over a lake at dusk — photograph by Stephan Borowski
Vienna, Austria

Ben-Nicholas Borowski

I build explainable quantitative research held to a confirmatory standard: hypotheses pre-registered before the data, findings adversarially stress-tested, and null results shipped as honestly as the wins. It runs from financial signal analysis to emerging-research foresight.

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© Stephan Borowski

Recent updates

Jul 2026
New preprint — “A Certification Gate for Emerging-Topic Detection”, now on SocArXiv and under review at Quantitative Science Studies.
Jun 2026
Submitted my M.Sc. thesis on weak signals in strategic foresight, in cooperation with .
Oct 2025
Started the B.Sc. Statistics & Data Analytics at the University of Vienna.
Sep 2025
Promoted to Junior Business Compliance Officer (Group Business Compliance) at Raiffeisen Bank International.
Sep 2025
Awarded the Deutschlandstipendium for the 2025–26 academic year.
Sep 2025
New paper — “Insolvenzprognose mit Machine Learning”: model quality, class imbalance & explainability.
Jun 2025
New paper — “Human-Centered Transfer Learning zur ESG-Risikobewertung”.
Mar 2025
Began the M.Sc. Data Science & Analytics at SRH University and published “Explainable AI in der Kreditrisikobewertung”.

Research interests

Making findings earn their claims

Register the hypothesis before the data, try hard to break the result, and publish the misses as clearly as the hits.

Explainable over black-box

Models that can justify each decision, so they survive an audit, not just a backtest.

Spotting ideas before they break out

Forecasting which research directions are about to accelerate, and being wrong on the record when they do not.

Counting every bet, not just the winner

Treating a whole line of research as one multiple-testing problem, so a result that only got lucky across many tries can't pass itself off as a discovery.

Education

M.Sc. Data Science & Analytics
Mar 2025 – Present
SRH University Riedlingen, Germany · GPA 1.3 (A)
Business Analytics track — Explainable AI, Machine Learning, HCTL. Department of Digitalization and Technology.
B.Sc. Statistics & Data Analytics
Oct 2025 – Present
University of Vienna, Austria · GPA 1.0 (A)
Computational Statistics — Statistical Programming. Department of Statistics and Operations Research.
B.A. Political Science
Oct 2020 – Feb 2025
University of Vienna, Austria · GPA 2.4 (B)
International Politics and Globalization — Political Economy.

Industry experience

Raiffeisen Bank International AG
Corporate & Investment Banking
Vienna, Austria · Nov 2022 – Present
  1. Junior Business Compliance Officer · Full-time Sep 2025 – Present
    Group Business Compliance
  2. Student Support · Part-time Nov 2023 – Aug 2025
    Institutional Clients · Local Banks
  3. Intern · Full-time Nov 2022 – Oct 2023
    Institutional Clients · West & Overseas

Selected projects

New here? Take the 90-second intro film — or go deep with the Field Guide, every function explained — intro.benborowski.de →

FACET

🔒 Private

Factor & Archetype Classification of Equity Traits — a research-grade equity signal-profile framework. Point-in-time data model, six-dimension profiles & archetypes, a weak-signal radar with pre-registered playbooks, event-study backtesting and a self-monitoring alert loop. FastAPI · DuckDB · React.

Enter (private, sign-in required) →

HORIZON

🔒 Private

Heuristic Observatory for Research Innovation, Zeitgeist & Onset Nowcasting — a weak-signal emerging-tech foresight platform. It operationalizes a five-dimension weak-signal framework on public arXiv data and tests, out-of-sample, whether a research topic’s emergence onset front-runs its later citation burst — reported as honest, reproducible lead-time evidence, never a crystal ball. FastAPI · DuckDB · React.

Enter (private, sign-in required) →

PARALLAX

🔒 Private

Pre-registered Apparatus for Research-to-Asset Linkage — the shared evidence spine beneath FACET and HORIZON, deliberately not a third product. One certification gate, one cross-platform trial registry re-adjudicated to a single honest hurdle, and a data bridge from the research frontier to listed firms. Python · DuckDB · a static control room.

Enter (private, sign-in required) →

Business Compliance Cockpit

Power BI · 2025

An interactive all-in-one dashboard solution for compliance-related data. SRH University.

Payment Flow Monitoring

SWIFT Watch API · Power BI · SQL · 2025

Monitoring and anomaly flagging across SWIFT payment flows, with dashboards for exception review and settlement oversight. Raiffeisen Bank International.

Selected research

on ResearchGate
Insolvenzprognose mit Machine Learning
Model quality, class imbalance and explainability in insolvency prediction.
Sep 2025 · DOI 10.13140/RG.2.2.19625.66407
Human-Centered Transfer Learning zur ESG-Risikobewertung
Model design, explainability & maturity assessment for ESG risk.
Jun 2025 · DOI 10.13140/RG.2.2.21871.75681
Explainable AI in der Kreditrisikobewertung
Potential, challenges & regulation of XAI in credit-risk assessment.
Mar 2025 · DOI 10.13140/RG.2.2.35232.49927

Honors & awards

Deutschlandstipendium
Sep 2025 – Aug 2026
Academic excellence award (M.Sc. Data Science & Analytics) — BMFTR, Germany.
win2-Zukunftskonferenz 2023 — 1st Place
May 2023
First place with Porsche Holding SE — UNIMC, Austria.

Professional development

Certificates (DataCamp / Udemy): SQL Fundamentals · Python for Data Science, ML & AI · Microsoft Power Apps (2025).
Advanced trainings (Raiffeisen Bank International): QlikSense for Professionals · Capital Markets Compliance, MiFID-II, MiFIR (2024).

Get in touch

Open to conversations on explainable quantitative research and honest signals, in markets and in the research literature.
Reach me at contact@benborowski.de.