A degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering
A minimum of 3-5 years of relevant work in performing data exploration and feature engineering
Proficiency in statistical techniques such as Gradient Boosting, Linear & Logistic Regression, Decision Trees, Clustering
Proficiency in using query languages such as Python, and in Data Analysis and Management Tools such as SQL, Power BI
Strong ability to interpret complex data into actionable insights to identify opportunities for growth and improvement
Excellent stakeholder management skills, with a collaborative, diplomatic, and flexible approach
Excellent presentation skills, including the ability to communicate complex ideas effectively, both verbally and in writing
Proficiency in storyboarding data storytelling, with strong skills in MS Excel and MS PowerPoint
Understanding of local market conditions and industry regulations
Nice to have:
Understand the macro trends impacting payments, banks and financial services and assimilate the information to develop value propositions and execute client adoption.
Responsibilities:
Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques
Ensuring quality control and maintaining up-to-date documentation for all data science projects
Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques
Providing data support for card campaign design, including identification of customer spending tiers, set-up and maintenance of Test & Control groups for campaign targeting, and performance tracking of ongoing and tactical campaigns
Regularly tracking and benchmarking the portfolio dashboard, focusing on market segments and channel opportunities, and providing data-driven insights to enhance performance of both ongoing and ad-hoc/tactical campaigns
Managing communication with clients and stakeholders effectively