Data Infrastructure & Engineering

Send your CV & portfolio at [email protected] with the subject “Data Infrastructure & Engineering”. Please mention your current and expected salary in your submission.

Responsibilities

• Design and build scalable data pipelines processing financial transactions, market data, and user behaviour
• Develop ETL processes integrating data from CDC, banking partners, fund administrators, and market data providers
• Build real-time data systems for portfolio tracking, NAV calculations, and transaction processing
• Maintain data quality frameworks ensuring accuracy of financial reporting and regulatory compliance
• Optimize database performance for sub-second query response on millions of transactions

Analytics & Insights

• Analyze user behavior to identify drop-off points, conversion bottlenecks, and engagement patterns
• Build dashboards and reporting systems for internal teams and regulatory submissions
• Conduct cohort analysis to understand customer lifetime value, retention, and product usage
• Develop attribution models to measure marketing channel effectiveness and CAC optimization

  Required Qualifications

  • 2-5 years experience in data science, data engineering, or analytics (fintech/finance experience strongly preferred)
  • Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
  • Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
  • Experience building ETL pipelines and working with large datasets (millions of records)
  • Strong statistical knowledge and experience with A/B testing, regression analysis, time series
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Self-starter comfortable working in a fast-paced startup environment

  Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Airflow, Kafka)
  • Knowledge of financial products (mutual funds, pension schemes, market indices)
  • Familiarity with regulatory requirements in Pakistan's financial sector
  • Experience with visualization tools (Tableau, Power BI, Looker, or custom dashboards)
  • Background in behavioral economics or consumer psychology