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Sergio Llinas

@sergiollinas

Finance professional with MSc from Universidad Carlos III de Madrid, experienced in data analysis, Python, and financial operations.

Colombia

Message

What I'm looking for

I seek a role where I can apply Python-driven data engineering and reconciliation expertise to improve data quality, STP, and analytics within collaborative, fast-paced finance teams.

I am an analytical and detail oriented professional with a strong foundation in finance and data. In my current role at Santander Corporate and Investment Banking, I work on trade reconciliation, settlement processes, and data quality control across multiple financial systems. A key part of my work involves automating repetitive tasks using Python, which has improved efficiency and reduced manual workload within the team.

Previously, I worked at BBVA, where I built dashboards in Looker Studio and supported reporting and portfolio analysis, helping stakeholders make more informed decisions.

I am particularly interested in roles at the intersection of finance, data, and technology, where I can apply my skills in SQL, Python, and data visualization to solve problems, optimize processes, and drive business insights. I am motivated by continuous learning and enjoy working in fast paced, collaborative environments where I can contribute to meaningful, data driven outcomes.

Experience

Work history, roles, and key accomplishments

Current

Delivery Operations Analyst

Current

Santander

May 2024 - Present (1 year 9 months)

Designed and automated Python data pipelines to process large transactional datasets and performed front-to-back reconciliations for fixed income, repo, and equity trades, improving STP rates and reducing settlement exceptions.

Python Murex Data Pipelines SQL Data Validation STP

Finance & Portfolio Analyst

BBVA

Jul 2023 - Dec 2023 (5 months)

Managed and analyzed structured portfolio datasets, built Looker Studio BI dashboards for KPI monitoring, and prepared quarterly financial reports to support senior management decisions.

Looker Studio Excel Financial Reporting Data Cleaning KPIs

Budget Engineer

Atlantico Government

Jan 2022 - Jul 2022 (6 months)

Validated cost and expenditure datasets for public infrastructure projects and supported development of a budgeting software platform by defining data requirements and ensuring auditability.

Budgeting Requirements Gathering Excel