Root-cause diagnostician at the intersection of business and data — strongest when owning outcomes end-to-end, from diagnosis to delivery.
Based in NorwayI'm a business-driven data and AI operator — not "the data person", and not a pure strategy advisor. Someone who built the technical layer because the strategy required it, and who can diagnose, build, and translate between the three.
I like regulated complexity. In banking and capital markets the constraints aren't a tax on the work — they are the work. And I'm interested in AI less as a novelty than as a way to redesign knowledge work: closing the gap between experiments and AI that becomes workflow, governance, and measurable value.
Every engagement sits somewhere on three axes. I'm strongest where all three meet — strategy grounded in the data, inside a regulated context. Filter the work below by the axis you care about.
Problem framing, executive clarity, stakeholder alignment.
Hands-on analytics, data engineering, applied AI.
Banking, credit risk, model governance, regulated complexity.
Built the bank's expected-credit-loss system — six-stage, dual-model, fully reproducible — roughly 75% faster than plan, and passed PwC's independent model assessment.
Reframed fuzzy, high-stakes executive problems into clear, prioritised initiatives leadership could actually act on.
Surfaced that an overly conservative IFRS 9 stance was distorting portfolio signals — raised and presented the case to risk leadership.
Set the bank's data & AI roadmap — governance model, opportunity assessment, and a generative-AI business case.
Built an employment- vs opportunity-cost model that recommended two hires over four — around 2M NOK/year in recurring savings.
Advised against launching a new fund on the numbers — protecting focus and capital rather than chasing a tempting line of business.
Built ESG and climate-risk tooling used in private-equity due diligence — contributing to a top-three global PE firm's mandate win.
Led a team of five to ship a D&I tracking application adopted by several Norwegian companies.
Built the bank's IFRS 9 / ECL system end-to-end — roughly 75% faster than plan and passed PwC's model assessment. Works in-house across risk analytics, commercial strategy, data & AI, and BI.
Product owner for a Nordic energy company's performance dashboard; advised on a data-function reorganisation — maturity assessment and target operating model — coordinating around 25 consultants.
Built ESG and climate-risk due-diligence tools for private-equity diligence; led a team of five on a D&I app adopted by several Norwegian firms; ran 100+ SAF-T / ESEF validations. Promoted to Senior Consultant six months early.
Built a Python recommendation engine from time-based viewing patterns.
Applied BERT to detect linguistic uncertainty in disclosures for a global investment bank.