Kay Moritzen - Risk Modeling and Cloud Infrastructure Lead

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Emmelsbüll-Horsbüll, Germany

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Experience

May 2025 - Present

1 year 5 months

NGO, German Party

Built advanced expertise in designing and deploying Model Context Protocol (MCP) infrastructures to enhance AI agent capabilities for an NGO.
Developed and maintained MCP servers (e.g., using FastMCP) exposing external tools and data sources to LLMs via a standardized API (JSOB).
Enabled seamless tool integration by adhering an MCP client-server architecture, allowing AI hosts or agents to dynamically discover and invoke tools, access resources, and leverage custom prompts (File Storage, SQL DBs, weaviate, chroma).
Automated deployment (CI/CD) in AWS with IaC (CDK) and Jenkins (scheduler).
Conducted comparative model evaluation due to German language needs (Hugging Face over Anthropic, Coehere, others) and AWS Bedrock.
Evaluated legal and regulatory aspects, ensuring the MCP-based solutions complied with emerging EU AI Act requirements, such as risk classification, transparency, documentation, and responsible tool provisioning within the European context.

Feb 2025 - Jun 2025

5 months

Insurance

Performed business analysis, actuarial support, and technical leadership for the decommissioning of a major health insurer’s COBOL-based legacy system in the regulatory reporting domain.
Led cross-functional DevOps teams to analyze, document, and optimize actuarial processes and data flows, ensuring seamless migration to modern platforms.
Focused on validating actuarial calculations, regulatory compliance, and data integrity throughout the transition.
Delivered actionable insights and recommendations to enhance reporting accuracy and operational efficiency.
Supported the customization and implementation of new reporting solutions.

Jun 2024 - Oct 2024

5 months

Audit, Bank

Conducted a comprehensive internal audit of a major bank's risk management systems in accordance with MaRisk requirements.
Led a cross-functional team to assess and evaluate internal controls, reporting structures, and risk mitigation strategies focusing on quantitative modelling of credit risk (PDs, LGDs, Migration).
Provided actionable recommendations to enhance regulatory compliance and optimize risk management processes.
Analyzed and customized CreditMetrics in msg ThinC! (now msg ORRP).

Aug 2023 - Feb 2025

1 year 7 months

Head of Risk Modeling & Cloud Infrastructure

System Provider

Led a DevOps team in developing a pricing tool that incorporated risk modeling requirements and engineered cloud infrastructure using Azure, Bicep, and Pipelines.
Implemented advanced AI-driven strategies to enhance predictive analytics and optimize resource allocation through MLOps.
Designed and deployed scalable cloud solutions, resulting in improved operational efficiency and data-driven decision-making capabilities.
Developed an agentic-based LLM system using Azure, Python, and LangChain, connecting AI to SQL databases and file systems (Agentic LLMs, ReAct Ansatz).
Created a Streamlit app for user interaction, leveraging LangChain's framework to enable the LLM to access and manipulate data from multiple sources.

Sep 2021 - May 2024

2 years 9 months

AWS Cloud Specialist & Lead Data Scientist

Energy Provider

Managed project management, data engineering, and advanced analytics including predictive modeling and machine learning with AWS SageMaker.
Provided technical leadership for DevOps initiatives focused on electricity price forecasting, including PFC-Curve modeling, risk modeling, and integration with the Marktstammdatenregister.
Managed cloud infrastructure using Infrastructure as Code (IoC by CDK, CloudFormation, Terraform).
Designed and implemented robust code and data pipelines for both batch and real-time processing.
Oversaw system administration and maintenance of AWS environments (ECS, EC2, S3, RDS, Lambda, among others).
Developed and executed cloud migration strategies and containerization solutions with Docker, incorporating CI/CD pipelines for streamlined deployment and operations.

Jun 2021 - Oct 2021

5 months

Audit, Bank

Conducted an internal audit reviewing Basel III, CRR/CRD IV, and MaRisk requirements.

Feb 2021 - Apr 2021

3 months

Financial Services, Bank

Ported an Interest Rate Curves database from SQL to C++ using QuantLib.
Performed validation and tests, feasibility studies, and prototyping in Python with an ORM.
Utilized build tools: CMake and GNU Autotools; IDEs: CLion and MS Visual Studio 2010/2019.

Jun 2020 - Aug 2020

3 months

Finance, Bank

Developed a compiler for the validation syntax of the EBA Datapoint Model.
Performed validation and aggregation of XBRL reporting (FINREP, COREP, Funding Plan) by automatically generating functional dependencies in Excel/VBA.
Implemented solutions in Python, Jupyter, SQLite, and Oracle DB.
Conceived the overall IT solution and provided training in statistical analysis and machine learning with Python.

Jan 2020 - Apr 2020

4 months

Pricing, Insurance

Created a pricing tool for individual insurance policies.
Implemented machine learning approaches for estimating frequency and severity ratios (product risk) using AWS SageMaker, Python, and R.

Jul 2019 - Aug 2019

2 months

Treasury, Bank

Created an ETL system (FINARIS/RapidRep) for automatic reconciliation of swap clearing transactions and minimum reserve requirements.
Implemented SAP ABAP web services.

Jun 2019 - Oct 2019

5 months

Audit, Bank

Implemented an internal audit reviewing Basel III, CRR/CRD IV, and MaRisk requirements regarding credit and market price risks.
Conducted quantitative analysis of internal models, processes, and data.

Apr 2019 - Jun 2019

3 months

Finance, Bank

Participated in the Sensitivity Analysis of Liquidity Risk Stress Test 2019 for the ECB.
Designed and produced a fully automated ECB report using RapidRep, PowerShell, and VBA.
Developed tools for automatic reconciliation of reported balance sheet data (XBRL: Finrep).

Aug 2017 - Oct 2018

1 year 3 months

Credit Risk, Bank

Designed and created the simulation model for the EBA Bank Stress Test 2018 focusing on counterparty risk (single transaction valuations, test management, web service).
Developed using Node.js, SQL, JavaScript, VBA, and FINARIS RapidRep.

Jan 2015 - Dec 2018

4 years

Lecturer

Applied Universities

Delivered lectures in mathematics, statistics, econometrics, and business informatics.

Jan 2015 - Dec 2017

3 years

Web Developer

IT-startups

Created a PHP calculation kernel for expert judgement calculation of life insurance products and valuation of real estate objects.
Developed digital marketing and predictive analytics features for web portals.
Maintained repositories and performed testing using Git/GitLab and PHPUnit.

Jan 2007 - Dec 2014

8 years

Munich, Germany

Referent / Quant. Risk Analyst

Allianz SE

Jan 2007 - Dec 2014

8 years

Seefeld, Germany

Senior Consultant

Benoist & Company

Jan 2000 - Dec 2007

8 years

Researcher, Lecturer, Scientific Assistance

Universities Bayreuth, Dortmund and DTU Denmark

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Education, Insurance, Professional Services, Information Technology, Real Estate, and Banking and Finance.

Education

Insurance

Professional Services

Information Technology

Real Estate

Banking and Finance

Business area experience

See which departments and functions this freelancer has contributed to most.

Experienced in Research and Development, Finance, Information Technology, Human Resources, Business Intelligence, and Marketing.

Research and Development

Finance

Information Technology

Human Resources

Business Intelligence

Marketing

Summary

Senior Data Scientist/Analyst/Engineer/Architect
Senior Consultant, Project Management
Lecturer (Statistics/Econometry/Mathematics)
Actuary (DAV) / Banking Auditor

Skills

Project Management
Devops/Mlops: Several Tooling (Grafana, Mlflow, Feast, Nexus, Others)
Aws (Sagemaker, Codecatalyst, Ec2, Ecs, S3, Codebuild/Codedeploy, Others)
Azure (Storage, Function Apps, Web Apps, Azureboards Pipeline Scripting)
Ci/Cd: Jenkins, Git, Aws Codecatalyst
Release Management / Version Control
Frameworks: Python: Flask, Fastapi, Streamlit, Dash; R: Shiny; Php: Laravel
Data Warehousing: Oracle, Redshift, Snowflake
Data Modeling, Conception, Design And Profiling
Application Management/Development (Php, Java, Python, Perl)
It Development/Internet Protocols Ftp/Sftp, Restful, Html, Etc.
Migration Of System Landscapes
Etl Processes, Data Management, Authorizations + Models
Data Bases: Pl/Sql, Postgres, Mariadb/Mysql, Sqlite, Ms Sqlserver, Influxdb
Programming Languages: Abap/4, Vba, Haskell, Lua, Matlab, R, Python, Js/Ts, Bash, Ps1, C, C++, C#, Fortan, Java, Php, Go, Others
Protocols: Xml, Wsdl/Soap, Json, Html/Css
Machine Learning: Frameworks For Supervised/Unsupervised Learning And Reinforcement Learning, Torch, Tensorflow, Scikitlearn, Nlp/Ner
Technical Consulting In Banks/Insurance Companies
Experience As Mediator Between Business And It Departments
Banking Experiences: Meldewesen, Tradefloor, Risk Modelling Makretrisk/Credtrisk
Bank-Audits: Review Eba/Bafin-Standards In Risk Reporting (Liquidity Risk, Oprisk, Marketrisk, Creditrisk)
Investment-Banking: Financial Portfolios/Products Analysis And Modelling (Structured Financial Products, Abs, Mbs, Cdo, Options Pricing)
Experience In Insurance Industry: P&C Und Live Insurance, Reinsurance
Actuarial Consulting: Evaluating Repurchase Values Of Life Insurance Products

Languages

German

Native

Danish

Advanced

English

Advanced

Spanish

Advanced

French

Advanced

Education

Dr. rer. nat. (math.) · math

Statistics

Experience

Total positions 18

Experience in Education 12 y

Avg length 2 y 2 m

Longest experience 7 y 11 m

Global experience

Countries worked in 1 (Germany)

Primary country Germany

Expertise

Recent roles Head of Risk Modeling & Cloud Infrastructure, AWS Cloud Specialist & Lead Data Scientist, Lecturer

Main industries Education, Insurance, Professional Services

Main business areas Research and Development, Finance, Information Technology

Qualifications

Highest degree Doctorate

Profile

Member since

September 2025

Last update

September 2026

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Frequently asked questions

Have questions? Find more information here.

Kay is based in Emmelsbüll-Horsbüll, Germany and prefers 100% remote projects.

Kay speaks the following languages: German (Native), Danish (Advanced), English (Advanced), Spanish (Advanced), French (Advanced).

Kay has at least 25 years of experience. During this time, Kay has worked in at least 7 different roles and for 15 different companies. The average length of individual experience is 1 year and 5 months. Note that Kay may not have shared all experience and actually has more experience.

Based on recent experience, Kay would be well-suited for roles such as: Head of Risk Modeling & Cloud Infrastructure, AWS Cloud Specialist & Lead Data Scientist, Lecturer.

In recent years, Kay has worked for NGO, German Party, Insurance, Audit, Bank, System Provider, and Energy Provider.

Kay is most experienced in industries like Education, Insurance, and Professional Services. Kay also has some experience in Information Technology, Real Estate, and Banking and Finance.

Kay is most experienced in business areas like Research and Development, Finance, and Information Technology. Kay also has some experience in Human Resources, Business Intelligence, and Marketing.

Kay has recently worked in industries like Information Technology, Energy, and Government and Administration.

Kay has recently worked in business areas like Information Technology, Business Intelligence, and Project Management.

Kay holds a Doctorate in math.

The availability of Kay needs to be confirmed.

Daily rate distribution

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<€800 €800-880 €880-960 €960-1040 €1120+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Average rates for similar positions

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Daily rate avg. 905 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

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Median rate 920 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 27 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.