À propos de Alexandr
I design and build data pipelines for financial analytics, with a focus on portfolio and ESG data.
My work typically involves integrating complex datasets (holdings, benchmarks, ESG providers), transforming them into reliable, analysis-ready outputs, and ensuring consistency between underlying data and reported figures.
I have a strong background in systematic investing and understand the full data-to-decision chain — from raw data ingestion and signal generation to portfolio construction and reporting.
I am particularly comfortable working in imperfect data environments, debugging inconsistencies, and aligning business logic with actual outputs.
Tech stack includes Python, SQL, Databricks and PySpark.
Anglais
Bilingue ou natif
Français
Notions
Allemand
Bilingue ou natif
Russe
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Allianz Global InvestorsSustainability SpecialistBANQUE & ASSURANCESavril 2022 - Aujourd'hui (4 ans et 2 mois)Paris, FranceDesigned and implemented ESG data integration frameworks for investment management use cases.Built scalable data pipelines combining portfolio holdings, benchmark data and external ESG datasets (e.g. carbon metrics, ESG scores, Net Zero indicators).Developed analytics and methodologies for sustainability and regulatory reporting, including:– ESG scoring models– Carbon footprint and intensity metrics– Net Zero alignment (SBTi, CDP)– SFDR / PAI indicatorsStructured and transformed complex datasets into analysis-ready outputs for portfolio reporting and decision-making.Ensured consistency between underlying data and reported KPIs through validation, reconciliation and debugging processes.Developed cloud-based data solutions enabling scalable and collaborative processing of financial and ESG data.Collaborated closely with portfolio managers, legal, compliance and product teams to support investment processes and product structuring.Engaged with external data providers, auditors and regulatory stakeholders to ensure data quality and alignment with industry standards.
- ansa capital managementPortfolio Manager – Systematic Strategies (Global Macro / ARP)BANQUE & ASSURANCESmars 2017 - mars 2022 (5 ans)Frankfurt, HE, GermanyResearched and developed systematic investment strategies for institutional portfolios (~€2bn AuM), with a focus on global macro and alternative risk premia.Designed and implemented signal generation frameworks in Python, including data ingestion, feature engineering and model-driven strategy logic.Built and maintained the data infrastructure supporting the full investment workflow:– market data ingestion and processing (SQL / Python)– signal computation and portfolio construction– performance tracking and analytics– client reporting (Power BI / Excel)Developed tools for portfolio optimization, risk monitoring and liquidity management across liquid asset classes (equities, fixed income, FX, commodities).Ensured robustness and consistency of strategy outputs through data validation, backtesting and ongoing monitoring.Covered the full data-to-decision chain, from raw data processing to portfolio implementation and reporting.
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Formations
- PhD in FinanceUniversity of Mannheim2017PhD in Finance
- M.Sc. in Finance & InvestmentsRotterdam School of Management2010M.Sc. in Finance & Investments