Entreprise:

Secteur: consulting / étude / stratégie
Taille: Moins de 20 employés
Binit Nearshore Services est une société de Conseil et de Services dans le domaine de l’IT et du BPO métiers . Anciennement MISC fondée en 2008, société de conseil dans le domaine du Supply Chain et de l’IT, l’activité de l’entreprise est étendue en 2020 et MISC est devenue BinitNS.
Nous conseillons nos clients Européens sur leur stratégie dans nos domaines d’expertise en intervenant pour leur compte en Europe sur place ou à distance. Quand ils le souhaitent, nous les accompagnons dans l’installation d’équipes de proximité (Nearshore) en Tunisie.
Description de l'annonce:
Company Overview: Binit Consulting Services (BinitCS) and Binit Nearshore Services (BinitNS) are Consulting and Services companies operating in the ITO and BPO fields. BinitCS is based in Europe and BinitNS is its subsidiary based in Tunis. We advise our European clients in the IT field, supporting them with the transformation of their infrastructure, the choice of business software packages, the development of specific softwares, the Data and Business Intelligence development, and testing processes.
Job Title: Data Analyst
Location: The Netherlands/ Hybrid
Company: Binit CS
Client: Leading Bank in the Netherlands
About Binit CS: Binit C&S is a dynamic consultancy firm based in Amsterdam, specializing in providing innovative technology solutions to empower our clients to thrive in competitive markets. We collaborate with industry leaders and deliver cutting-edge technology implementations that create value and drive success. Currently, we have an exciting opportunity for a Data Analyst to join our team and work with one of the largest banks in The Netherlands in their efforts to combat financial crimes.
Job Description: We are looking for an experienced Data Analyst with a strong background in the banking sector to support our client, a leading bank in the Netherlands. The ideal candidate will have hands-on experience with Know Your Customer (KYC), Anti-Money Laundering (AML), Anti-Bribery and Corruption (ABC), and financial crime and terrorist financing. The candidate should also be proficient in AWS or Azure Cloud, possess strong SQL, Python, and PySpark skills, and be familiar with Preventing Money Laundering & Terrorist Financing environments.
Key Responsibilities:
· Collaborate with cross-functional teams within the bank to gather and analyze data from various sources.
· Design and implement data models, queries, and reports to support compliance and risk management efforts.
· Utilize SQL, Python, and PySpark to extract, transform, and load (ETL) data for analysis.
· Work with Transaction Monitoring (TM) systems to identify and investigate suspicious activities.
· Provide insights and recommendations based on data analysis to enhance KYC, AML, ABC, and financial crime prevention strategies.
· Participate in the implementation of data-related technologies, including Oracle Exadata, Informatica, Tivoli WS, and ERWIN Data Modeller.
· Collaborate in the development of Business Intelligence (BI) solutions, such as Power BI or similar tools.
Qualifications:
· 2 to 5 years of experience in data analysis, preferably within the banking sector.
· Strong familiarity with KYC, AML, ABC, or financial crime and terrorist financing.
· Proficiency in AWS or Azure Cloud.
· Excellent skills in SQL, Python, and PySpark.
· Experience with Transaction Monitoring (TM) systems is a plus.
· Knowledge of technologies like Oracle Exadata, Informatica, Tivoli WS, ERWIN Data Modeller, and BI tools (Power BI or similar) is a plus.
· Strong command of the English language, both written and verbal.
What We Offer:
· Competitive compensation package based on experience and skills.
· Opportunity to work in a dynamic and innovative environment.
· 25 days of vacation.
· Strong pension schema.
· The chance to make a significant impact on banking compliance and risk management.
· Possibility of remote work and office-based work.
If you are interested in such a challenge and willing to work in an international English-speaking environment, we will be glad to see you joining us.
Start date: As soon as possible.
Amazing working environment and a very good package is proposed.