Data Infrastructure & Engineering

Mahaana Wealth Limited; Karachi Division; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

Mahaana Wealth Limited is hiring for a data/analytics role in Karachi, focusing on building scalable data pipelines, ETL from multiple sources, and real-time systems for portfolio tracking and risk assessment.

The candidate should have 2–5 years in data science/engineering within fintech, strong Python and SQL skills, and experience with large datasets and A/B testing. Collaboration with finance and product teams is essential in a fast-paced startup.

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

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
• 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
• Create financial models for portfolio performance analysis and risk assessment

Skills

Python (Pandas/NumPy)

SQL & PostgreSQL/MySQL

ETL pipelines

Big data tools

Statistical analysis

A/B testing

Communication

Startup mindset

Tools

Spark

Airflow

Kafka

Job description

• 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
• Create financial models for portfolio performance analysis and risk assessment

Required:

• 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:

• 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