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EL

Quantitative Analyst

Enefit Latvija
Posted 5 hours ago
🇱🇻Latvia🏢Hybrid📁Data & Analytics
Is this job info correct?
As a Quantitative Analyst, you will support power price and production forecast unit for math, optimization and in-depth data related tasks.

In this role, you will:

  • develop, maintain and continuously improve core forecasting, simulation and decision support solutions;
  • design and implement tools for forecasting, and operational planning;
  • contribute to quantitative models, algorithmic solutions, data processing workflows, and system automation initiatives across multiple business domains;
  • handle and process weather-related datasets, including gridded data sources;
  • integrate weather-related models and data streams into systems;
  • develop and maintain renewable asset forecasting solutions at both the individual asset and portfolio levels;
  • prepare, update, and maintain technical documentation and presentation materials;
  • validate and backtest models, identify improvement opportunities, and collaborate with data engineers to implement enhancements;
  • contribute to cross-functional projects and other ad hoc data, modelling, and analytics initiatives.

Enefit offers:

  • monthly salary starting from EUR 3000,- gross;
  • professional growth through continuous training and development; programs that expand your skills and experience;
  • opportunity for long-term career and self-fulfillment in a growing international company;
  • 5 additional vacation days after your first year;
  • attractive health insurance package.

You are a great match if you:

  • have work experience in the fields of Data Analysis, Data Science, or Quantitative Analysis;
  • have strong analytical and data-related skills, including developing complex prediction models, solving optimization problems, automating, and handling large volumes of data;
  • are experienced in either R or Python, complemented by a basic familiarity with the other;
  • are familiar with data workflows, including data storage, access, and transformation (SQL, data import/export, and Parquet files);
  • are a results-oriented team player with an eagerness to learn;
  • hold a university degree in Mathematics, Statistics, Data Science, or a related field;
  • speak fluent English.

Additional Details

Location: Riga. Partial remote work opportunity.

Application deadline 10.09.2026

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