Risk Modelling Data Expert

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Ayvens is looking for a Risk Modelling Data Expert in Amsterdam, full time onsite, to design and maintain modelling datasets for risk development on an Azure-based platform, help modernize data platforms, automate processes, perform advanced analysis and monitor risk models. You’ll join a post-merger environment with autonomy and cross-functional collaboration across Digital IT, Finance and Risk. Expect responsibilities around reproducible data preparation with quality controls, data governance, data acquisition, model monitoring and documentation. Requirements include 7+ years in Data Analytics/Finance, SQL and Python, Databricks, Azure (Data Factory, DevOps), and experience with large-scale datasets. Tips: tailor your CV to show Azure governance, monitoring pipelines, quantify impact, highlight collaboration and the ability to translate technical concepts for stakeholders.

At Ayvens, progress starts with you.

Our ambitions to shape the future of sustainable mobility are powered by our talent. Join us, and get better with every move.

Responsible for designing, building and maintaining modelling datasets supporting risk model development activities on Azure-based platform

Our new colleague will also help us modernize our data platforms, automate our processes, perform advanced data analysis and periodically monitor the performance of risk models.
We are in the middle of extensive transformations after the merger of two former market leaders in the leasing space -LeasePlan and ALD- into a formidable new entity Ayvens. This involves consolidating the data and platforms of two big companies in a future-proof manner. It is thus an exciting opportunity for someone who is keen to wrangle with data, explore new technologies and play a part in setting up a modern data landscape.
The position offers a high degree of autonomy and the exposure of working with different functions within the company, besides the opportunity for personal growth in the areas of data analytics and risk modelling.

Areas of responsibilities

• Prepare data, in a structured, reproducible and auditable way, with assured data quality, for the purposes of model development, model monitoring, model validation, internal and external audit and any ad-hoc reporting request.

• Liaise with Digital & IT teams to plan and perform data acquisition for the Risk Modelling environment, both from internal group (SG) and external sources, and with an eye on long-term modelling and regulatory needs.

• Ensure proper data governance, and that model implementation is done in a secure and controlled environment.

• Execute periodic monitoring tests for risk models, in accordance with regulations and internal guidelines, and report the results to stakeholders along with expert insight if necessary.

• Analyse data, with an eye on anomalies, trends and data quality; cross reference several sources if need be; perform root cause analysis in the event of anomalies in reports; and pursue remediation with data providers in case of data quality issues.

• Contribute to designing the new data landscape for Risk in Azure environment and advocate for Risk modellers and the wider Risk department from the point of view of flexibility, ease of access and timely data availability.

• Maintain thorough documentation for data preparation, issues observed, and analysis done.

Competencies

• The key activities of the Data Expert will involve writing complex queries in SQL and Python and performing data transformations.

• The new team member will be involved in finding the best solutions offered by Microsoft Azure for our specific use cases.

• The role will require extensive collaboration with Digital & IT, Finance and other Risk teams on a daily basis.

Requirements

Personal characteristics

• Structured analytical thinking, strong attention to details in data logic, ownership mindset. 

• Clear and concise communication skills. Ability to communicate in both technical and functional “languages” and translate technical complexities to stakeholders and management.

• Positive and collaborative attitude.

• Passion for working in a cross-cultural and diverse environment.

Education / knowledge

• Bachelor equivalent in Data Analytics/Data Science/Econometrics/IT.

• Data modelling (Kimball, data vault) and data warehousing concepts

• Data wrangling (data ingestion, cleaning, wrangling), data quality frameworks, monitoring pipelines 

Skills

• SQL

• Python (production skills)

• Databricks

• Microsoft Azure (primarily Azure Data Factory, Access Management, Cluster configuration, Azure DevOps)

Experience

• At least 7 years of experience in the field of Data Analytics/ Business Intelligence/Data Science, preferably in a Risk or Finance setting.

• Experience in building large-scale datasets (enterprise risk level)

• Data ingestion from multiple legacy and modern systems

• Prior experience working in an Azure environment is a plus.

Why Ayvens?  

With over 3.1 million vehicles managed across more than 40 countries, we provide full-service leasing, flexible subscription services, fleet management services and multi-mobility solutions to customers of all sizes, including large corporates, SMEs, professionals, and private individuals. By leveraging our unique position to lead the way to net zero and further shape the digital transformation of the industry, we are well-positioned to meet the evolving mobility needs of our clients and provide them with the solutions they need to thrive.

At Ayvens, we believe that our success is driven by our commitment to customer satisfaction. Our team is dedicated to delivering innovative solutions and technology-enabled services that help our customers focus on their everyday business. We’re committed to sustainable mobility and have made it a core part of our strategy. In everything we do, we’re guided by the principles of authenticity, curiosity, commitment and collaboration. We aim to foster an organisation that's diverse in people and ideas, where everyone can thrive and be themselves, no matter who they are.

Join us on this exciting journey as we continue to enable the transformation towards large scale adoption of sustainable mobility and provide our customers with the solutions they need to succeed. Follow our page for the latest updates, news, and insights.