Data Management Consultant

Description
Our aim is to support our clients incorporating changes and innovations in valuation, risk and compliance. We share the ambition to contribute to a sustainable and resilient financial system and facing these extraordinary challenges is what drives us every day. Our people are empowered to design and implement efficient and pragmatic solutions. Acting as one team with our partners and clients, we bring a distinctive mix of financial and technological know-how. This unique blend of expertise, team spirit and fairness has contributed to more than 35 years of successful projects and trustful relationships.

At Finalyse, we believe that each member is unique, and that diversity enriches us in many ways. We strive for an inclusive working environment that pursues mutual respect for each other’s beliefs and backgrounds.
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**The Role**

In an increasingly complex regulatory environment and financial world, shaping state-of-the-art reporting capability and data intelligence is essential to bank’s core business and financial stability. Finalyse embraces this evolution and is committed to maintain a cutting-edge approach in its Data Management Advisory services. We are looking for a highly skilled and motivated Data Engineer/Risk Data Analyst to join our team.

Especially, you will assess existing equity risk management process to identify inefficiency and resolve them through technical solution, along with workflow enhancements. Part of the objective will be to develop standardized template to facilitate the calculation and monitoring of Fund of funds exposure, as well as risk metrics associated with Layered Equity portfolios.

In addition to this role, you may be expected to:

- Raise and market the Finalyse image in the financial industry through publications in our Regbrief.

- Contribute to internal knowledge sharing.

International exposure is part of this role: you should be open to short
- and medium-term assignments abroad (e.g., Belgium and/or the Netherlands).

**Responsibilities**

You participate to/or lead engagements of our **Risk Advisory** practice for banking and insurance clients to help them build and maintain their data infrastructure for risk and regulatory reporting. As a **Data Engineer**, you:

- will work closely with clients to understand business requirements and help them implement risk data and reporting solutions that are fit-for-purpose, ensuring a straight-through-processing and compliance with regulatory standards, including **BCBS 239**,

- can deep dive into details and investigate reconciliation issues with other reporting systems, such as accounting systems or other source systems,

- will advise our clients on how to implement governance policies and procedures,

- can develop and maintain documentation for all data-related processes, including data lineage, data dictionary, and metadata,

- will stay up-to-date with the latest trends and technologies in the field of data infrastructure and data governance and implement them where applicable.

- will work with tools and platforms commonly used in institutional risk environments, including Alteryx, SAP Business Objects, and platforms comparable to eFront, contributing to dashboard development, risk metric validation & monitoring as well as fund risk scoring.

**Must-have requirements**
- You have an MA or MSc in management sciences, applied economics or computer sciences.

- At least **5 years of experience** in data engineering within financial institutions or a related field, with a strong understanding of banking business and financial products, including equity & debt products.

- You have strong technical skills include proficiency in Python for data transformation and analytics, SQL for portfolio data extraction, and Excel VBA for automation of manual review processes. You have also delivered interactive reporting solutions using both Power BI and Tableau.

- You have experience on quantifying risk across multi-layered investments (fund-of-funds, co-investments)

- You have experience in design and logic validation of fund risk scoring methodologies and implementation through internal platforms (analogous to eFront).

- You have outstanding analytical skills.

- You are familiar with **BCBS 239** and its requirements for data governance, data quality, and risk management.

- You are able to act as a bridge between business and IT stakeholders.

- You are able to work autonomously in a result-oriented environment.

- You are fluent in English (both verbal and written) and have strong presentation skills.

**Nice to have**
- Knowledge of data modeling methodologies and techniques for data warehouses and data marts.

- Proficiency in data modeling and management tools such as **PowerDesigner, Visio and Collibra.**

- Understanding of risk calculation (especially **credit risk**) and reporting processes.

- Knowledge of European risk regulation (CRR2, CRR3, Basel IV).

- Firs