Senior Manager, Credit Risk Data & Reporting

160 - 170 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#467081·Dodano 8 dni temu·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

PythonData management

Podsumowanie oferty

You will drive the production and continuous improvement of credit risk management information, oversee data quality and governance controls, and ensure risk reporting is accurate, complete, consistent, and delivered on time. You will work with the CRO, senior risk management, and stakeholders across Technology, Finance, and Operations in an international banking environment, using Python and Microsoft Excel.

Wymagania

Demonstrated experience designing, producing, and controlling senior management or committee reporting.
Strong understanding of data governance principles, including data ownership, data lineage, critical data elements, data quality measurement, reconciliation, and issue management.
Good knowledge of credit risk and credit risk reporting processes.
Strong analytical skills, including portfolio analysis, trend interpretation, root-cause analysis, and the ability to turn complex data into actionable insights.
Experience improving or automating reporting processes.
Advanced proficiency in Python and Microsoft Excel, with strong working knowledge of Microsoft Word and PowerPoint.
Excellent written and verbal communication skills, with the ability to influence stakeholders and challenge constructively.
Strong organisational skills, attention to detail, accountability, and the ability to manage competing priorities and deadlines.
Ability to build effective relationships across functions, legal entities, and international teams.
Strong awareness of multicultural working environments and collaborative problem-solving.

Obowiązki

Credit Risk Reporting:

Deliver and continuously improve management information, portfolio analysis, and reporting for the CRO, senior management, and relevant committees.

Data Governance:

Support the implementation of credit risk data governance standards, including requirements related to IRB processes.

Data Quality Management:

Monitor data accuracy, completeness, consistency, and traceability.
Identify data quality issues and coordinate remediation activities.

Reporting Optimisation:

Review existing reporting processes and data sources, identify improvement opportunities, and implement solutions to increase efficiency and reliability.

Risk Portfolio Analysis:

Monitor portfolio trends, risk concentrations, and risk appetite indicators.
Translate complex data into clear management insights.

Controls and Governance:

Ensure appropriate data quality controls, reconciliations, reviews, approvals, access management, and record retention.

Stakeholder Management:

Advise business, risk, and data stakeholders on reporting requirements, data definitions, control standards, and escalation procedures.

Cross-functional Collaboration:

Work closely with Credit Risk Control Unit teams, Model Development, Group Credit Risk Reporting, Data Owners, Data Stewards, Technology, Finance, and Operations.

Knowledge Sharing:

Support the development of team capabilities in reporting optimisation and data quality governance.

Benefity

Sport subscription.
Private healthcare.

Karta sportowa

Opieka zdrowotna

Avenga

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