Manager - Data Analytics (Remittance & Fintech Business Development)

Job Description

Requirements

• 4-year Degree in Business Mathematics, Statistics, Data Science or related field.
• Master's in Business Administration is advantageous.
• Minimum 5 years experience in financial services, consulting, strategy, analytics, engineering or related industry.
• 2-3 years experience in data structuration, data management, analytics and big data.
• Experience working in a medium to large organization.
• Experience working in an Agile/DevOps environment.
• Working knowledge in Hadoop, Apache Spark and Big Data technologies (MapReduce, PIG, HIVE).
• Experience with SAS, Tableau, Power BI, D3, VBA, SQL, and Business Objects.
• Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL.

Responsibilities

• Support Fintech Analytics strategy execution in line with overarching business and functional goals.
• Provide reports and analysis to support and contribute to the development of functional strategy.
• Support execution and development of data mining and analysis frameworks.
• Ensure accurate and timely reporting to enable regular review of functional strategy, roadmap and performance.
• Drive analytics and reporting roadmap for business; prioritize business insight requests.
• Develop and manage models to ensure business and customer growth.
• Develop models in the areas of machine learning and data sciences for the semantics layer.
• Develop advanced quantitative modules using a variety of programs/software to support predictive assessment.
• Develop automated processes for data ingestion, transformation and visualisation.
• Develop BI content - reports, dashboards, scorecards, analytic solutions supporting business decisions.
• Perform complex analyses including optimization, text analytics, machine learning, and statistical analysis.
• Collate business intelligence data through public information, industry and field reports.
• Establish intuitive reporting methodologies and perform ad-hoc market analysis.
• Work with Technology teams on development of new data capabilities and architecture.
• Define and optimize targeting approaches for Remittance Products and Services.
• Develop predictive models to forecast remittance volumes, transaction patterns, and currency exchange rates.
• Support fraud detection and risk management strategies using machine learning techniques.
• Monitor transaction data to ensure compliance with regulatory requirements.