Data Analyst

2 semanas atrás

Porto, Porto, Portugal Natixis in Portugal Tempo inteiro

Company Description

Natixis is part of the Global Financial Services business unit, the global arm of Groupe BPCE, specialized in Asset & Wealth Management and Corporate & Investment Banking and counts nearly 16,000 employees across 38 countries.


The Groupe BPCE, the second-largest banking group in France through its two retail banking networks, Banque Populaire and Caisse d'Epargne.


Natixis in Portugal mission is to transform traditional banking services by developing innovative solutions for the bank's business, operations and work culture, being a key driver of the company's culture of agility and innovation.

Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms.


Job Description Team presentation and main goal**:

Join the Data Sourcing Accounting Data team, within the Financial Data Integrity (FDI) division at Natixis, as part of the Finance Direction dedicated to upholding the integrity and accuracy of financial data across CIB activities (balance sheet and off-balance sheet).

Our team is split between Paris and Porto, part of a department, of around 150 professionals, and is on the frontline of labelling financial data for both balance sheet and off-balance sheet activities.

Data Sourcing is split between Paris and Porto, and you'll be an integral part of a 10-member team.


You will be part of an integral part of a 10-member bi-localised team with a local manager and a functional manager based in Paris.

As a Data Analyst, for of a major French banking institution with international dimension, you will:

  • Support Data quality initiatives to meet both internal standards and regulatory requirements, with a particular focus on ensuring the accuracy, completeness, and reliability of Critical Data Elements (CDEs). These efforts are crucial for enhancing the integrity of financial reporting and analysis across the institution.
  • Engaging in comprehensive data monitoring activities for Corporate and Investment Banking (CIB) sectors, including Financing and Global Markets. Your analysis will support datadriven decisionmaking and operational excellence in these key areas.


You will be in contact with the Operations department (middle and back offices), the other teams of FDI & the internal Finance partners, and Finance IT teams.


Functions:

Monitoring and analysing data at the granular level to ensure the quality of the data required for all financial reporting or indicators (ALM, Solvency, Liquidity, FINREP, ):

  • Set up meetings with final internal partners to do a post-mortem of quarterly closing;
  • Study and propose new controls to be implemented or to evolve existing controls (especially completeness, existence, accuracy, consistency, or freshness controls):
  • Analyze the needs of the final internal partners;
  • Perform database queries to study the relevance of results;
  • Test and launch in production new controls.
  • Controlling the data acquisition & treatment on the financial chain inputs, along the flow;
  • Detecting anomalies & analyzing the root causes;
  • Reporting and alerting the management and the internal partners (accounting and ratio teams);
  • Defining remedial short and long term actions;
  • Writing and updating of operational procedures;
  • Support the data sourcing activities.
As a Data Analyst, you will be integral in ensuring the quality and integrity of data across all levels, crucial for financial reporting and compliance with indicators such as ALM, Solvency, Liquidity, and FINREP

Your responsibilities include:

  • Post-

Mortem Meetings:
Organize debrief sessions with key internal stakeholders after quarterly closings to review outcomes and identify improvement areas.

  • Control Evolution and Implementation:
  • Collaborate with internal partners to understand their data requirements and challenges;
  • Conduct database queries to assess the relevance of data and identify gaps, particularly focusing on Critical Data Elements (CDEs) to ensure their accuracy and completeness;
  • Develop, test, and deploy new controls or refine existing ones to enhance data completeness, existence, accuracy, consistency, and timeliness.
  • Data Acquisition & Treatment: Oversee the data collection and processing stages within the financial chain, ensuring smooth and errorfree data flow.
  • Anomaly Detection: Proactively identify data discrepancies, delve into their root causes, and communicate findings with relevant teams, emphasizing the importance of managing CDEs effectively.
  • Communication: Report findings, anomalies, and recommendations to management and internal partners (accounting and ratio teams), fostering a culture of transparency and continuous improvement.
  • Action Planning: Develop both immediate and longterm remediation plans to address identified issues, ensuring the robustness of financial data.
  • Operational Documentation: Regularly review and update operational procedures to

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