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Senior Financial Data Analyst
Luminor GroupSenior Financial Data Analyst at Luminor managing data flows and analytics for Treasury operations. Join a leading independent bank in the Baltics for a rewarding career.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Treasury analytics, data analysis, and reporting, utilizing SQL, Python, and R to support liquidity and capital management objectives. Proficient in stakeholder management and collaboration, with a strong understanding of regulatory frameworks and Treasury products.
Highest-signal resume keywords
SQLPythonRTreasury AnalyticsStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data AnalysisFinancial ReportingLiquidity ForecastingSecuritisationDebt InstrumentsData WarehousingData Visualisation
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
TableauPower BIAI-Enabled Solutions
Industry Keywords
TreasuryFinancial ServicesBankingFintechRegulatory Frameworks
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Work in cross-functional teams to support Treasury’s liquidity, funding and capital management objectives
- Participate in Treasury projects and collaborate with Product Owners, IT Delivery Leads, Business Analysts and Treasury stakeholders on topics such as liquidity forecasting, funding, securitisation and debt instruments
- Support Treasury analytics, reporting and decision-making through data-driven insights
- Support ILAAP, ICAAP and other capital, liquidity and regulatory assessment processes
- Create loan tapes, manage collateral pools and optimise collateral allocation across funding programmes
- Use SQL, Python, R and other analytical tools for data analysis, reporting and process automation
- Maintain Treasury reporting datasets, investigate reporting issues and data discrepancies, and identify root causes
- Build dashboards and management reports using Tableau, Power BI and related reporting tools
- Translate Treasury business needs into IT requirements and leverage AI-enabled solutions to improve processes, data quality and decision-making
Requirements
What you’ll need- Previous experience in coding, data analytics, IT/business analysis, Treasury, Financial Planning, or financial reporting within financial services, banking, or fintech
- Willingness to develop complementary skills across both business and technical areas
- Strong interest in learning SQL, Python, R or other relevant programming and analytics tools
- Experience with data warehousing and data visualisation tools would be an advantage
- Strong stakeholder management, communication, and collaboration skills
- Knowledge of or interest in learning Treasury products and activities such as FX derivatives, interest rate swaps, fixed income instruments, nostro, securitisation, and liquidity and capital management
- Understanding or strong interest in learning deposit dynamics, loan dynamics, mortgage products, broader banking products, the competitive environment in the Baltics and Luminor’s key strengths
- Knowledge of or strong interest in learning regulatory frameworks, laws and regulations under which banks operate would be preferred
- Fluent English is required in spoken and written communication due to working on Pan-Baltic level
Benefits
Comp & perks- Health insurance after the first 3 months in all three Baltic states
- Health days in case of absence due to sickness without a doctor's note needed
- Additional weeks of vacation for employees who have been in the company for 1 year or more
- Volunteer time off for additional days off for volunteering purposes
- 30 fully paid calendar days for military training every year
- Access to tools and resources that help you feel good and be productive at work and in life
- Internal and external training programs, LinkedIn learning, workshops, conferences, online training
- Special offers & pricing for products and services provided by Luminor