Ask Balleby Hviid

Data Scientist / Full-Stack Data Guy

Building production ML systems for fraud detection and risk modeling in digital banking. 4 years bridging technical modeling with business strategy—from SQL analytics to deployed models on SageMaker. Strong in Python, statistical modeling, and translating complex data into decisions for cross-functional stakeholders.

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LOCATION: Aarhus, DK
ROLE: Data Scientist
ORG: Lunar Bank
SINCE: 2021
Technical Stack
Core
SQL
Python
Statistical Modeling
ML/AI
Scikit-learn
XGBoost
PyTorch
Graph Neural Networks
Cloud & Data
AWS
Redshift
dbt
SageMaker
BI & Analytics
Looker
KPI Design
Dashboard Development
Domain
Financial Crime
Fraud Detection
Risk Modeling
AML
Data Tools
Postgres
OLAP Systems
Data Pipelines
Monitoring
Experience

Lunar

OCT 2021 — PRESENT
Data Scientist (Jun 2023 — Present)
Developed and deployed ML-based fraud detection model targeting early account activity, now running in production on SageMaker. End-to-end ownership from feature engineering through deployment. Maintained Customer Risk Rating model using AHP for parameter weighting. Built PSI monitoring system for data drift detection. Defined KPIs across fraud detection and AML—built Looker dashboards serving as central reference for team strategy.
Data Analyst (Jul 2022 — Jun 2023)
Transitioned from operations into technical role, establishing data science and analytics capabilities within Financial Crime Risk from scratch. Built first analytical frameworks and dashboards for transaction monitoring and fraud detection. Developed automated transaction monitoring rules using Pypika.
Financial Crime Risk Specialist (Oct 2021 — Jul 2022)
Quickly became lead on complex business cases, building deep domain expertise in AML, fraud typologies, and regulatory requirements. Built operational tooling in Excel that improved case processing speed and quality.

Sparekassen Danmark / Sparekassen Kronjylland

JUL 2018 — DEC 2020
Student Worker — AML & Compliance
Performed customer and transaction analysis across two banking institutions. Built foundational expertise in financial compliance and risk assessment. Became go-to resource on complex business customer cases.