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Background dossier

Alex TouvrasAI & Data Systems LeadComplex problems
into decisions.

Data, AI, and delivery, in the space between a messy problem and a system a team can use.

Experience

7+

Languages

3

EN · FI · GR

Degrees

3

Background

Story & record

I started in credit and risk, where the consequences of a decision are tangible. Over time, that led me deeper into data, machine learning, technology delivery, and ultimately into the question I find most interesting:

How do you build intelligent systems that survive contact with the real world?

Asola, Vantaa, Uusimaa, Finlanda.touvras@gmail.com

This site

Why Orbit

What the name means — and how it connects to the vision for this site.

An orbit is a stable relationship around a center. The center isn't the portfolio card or the latest post. It's the gravitational force that keeps the work from drifting: owned files in git, diagrams that stay with the code, automation that waits for a human Approve, and a commitment to evolve the way I build instead of chasing a prettier homepage. What orbits that center are the products I ship, the Blog essays, the Related signals, workshop projects, and field cards. They move on different schedules. They stay in range because the process at the middle holds.

Building Orbit — full case study

Career

Experience

Nordic consumer finance, from credit analysis to technology delivery, plus earlier roles in Helsinki and Greece.

  1. 012022 – Now

    Delivery Lead (Technology Delivery)

    Jan 2026 – Present

    • Lead IT Application Operations for Azure and middleware services, turning complex initiatives into predictable, measurable delivery.
    • Coordinate cross-team work across cloud platforms, DevOps, and IT operations with emphasis on flow, clarity, and outcomes.
    • Apply data-driven approach to delivery decisions, dependencies, and operational metrics at team and leadership level.

    Senior Risk Analyst

    Sep 2023 – Jan 2026

    • Developed and monitored PD models, scorecards, and expected credit loss (ECL) forecasts.
    • Used Python, SQL, and Power BI (Fabric) to analyze trends, build dashboards, and automate reporting.
    • Supported portfolio steering: emerging risk identification, customer segment evaluation, and credit engine requirement changes.
    • Collaborated with Nordic and European stakeholders on risk alignment while adapting to Finnish market context and regulation.
    • Mentored junior analysts and helped build in-house analytics capability from the ground up.
    • Worked with finance, sales, and IT on projects to optimize decision strategies and portfolio performance.

    Risk Analyst

    Jul 2022 – Oct 2023

    • Credit risk analysis and monitoring within Santander Nordics consumer finance portfolio.
    • Cross-functional collaboration on risk processes, reporting, and portfolio insights.
  2. 022019 – 2022

    Credit Analyst

    Aug 2019 – Jul 2022

    • Credit assessment for new payment solution partners and B2B loans.
    • Part of credit scorecard development team: cut-off setting and in-production monitoring.
    • Development and testing of changes in credit engine platform (Provenir).
    • Data analysis for Credit, Business, and Customer Service to optimize decision-making.
    • Regular monitoring of risk KPIs.
    • Modern Workplace Change Agent.
  3. 032019

    Conscript (Kaartin Jääkäri)

    Jan 2019 – Jun 2019

    • Mandatory military service.
  4. 042016 – 2017

    Office Administrator

    Nov 2016 – Jun 2017

    • Customer service, account management, and assessment of supplementary/preventive income support.
  5. 052015 – 2016

    Intern

    Sep 2015 – Mar 2016

    • B2B/B2C customer service, currency exchange, and daily accounting procedures.
    • Assessment of banks' currency withdrawals and deposits.

Academic

Education

Quantitative finance and big data analytics foundations.

  1. MSc, Big Data Analytics

    Thesis: An Analytics Process for Forecasting Expected Credit Losses for the Lifetime of Loans: auto loan portfolios

    Machine learning methods in business environments; analytical service design.

    Press for master's thesis
  2. MSc, Banking and International Finance

    Thesis: Government bonds and credit risk: an assessment of diversification and a safe asset in the euro area

    Quantitative finance, economics, financial accounting, and banking.

    Press for master's thesis

Toolkit

Skills

Credit risk, data analytics, and delivery operations.

Credit & Risk

PD modelsscorecardsECLportfolio steeringcredit engine (Provenir)IFRS 9 contextcut-off settingin-production monitoringAML-adjacent risk work

Data & Analytics

PythonSQLPower BI / Microsoft FabricdashboardsautomationKPI monitoringdata-driven decision support

Delivery & Operations

Technology delivery leadAzure application operationsmiddlewareDevOps collaborationcross-functional coordinationrequirements management

Multilingual

Languages

English · ProfessionalFinnish · ProfessionalGreek · Native

Continuous

Training & more

  • Power BI Data Analyst training — Sulava, 2023
  • ScanAgile 2026, Nordic agile conference, Helsinki (Agile Finland)

File

Download the CV

The same record, as a PDF.

Download CV