• Minimum 6+ years of work experience in Data Analytics, Data Engineering, Data Mining or Machine Learning, at least 3+ years of which have been in the Financial Services or Fintech industry

• Educational background in any quantitative field (Computer Science / Mathematics / Statistics / Computational Sciences and related disciplines)

• Experience coaching/mentoring a data science team

Skills we need:

• Deep understanding of statistics, models, and algorithms for implementation in forecasting, extraction, classification, segmentation, and optimization problems – in the finance context

• Proven code proficiency in Python and SQL

• Exceptional knowledge of databases (relational and NoSQL)

• Working knowledge of search systems

• Expertise in mining large-scale unstructured/structured data to deliver insights

• Ability to effectively communicate results/findings through data visualization

• Experience in developing tools and processes to monitor and analyze data accuracy model performance

• Ability to assess the quality and comprehensiveness of data

• Business intelligence, experience working with Web Server Architectures, AWS, or any other cloud service provider will be an added advantage

• Highly skilled in statistical and modelling packages in Python or R, visualization and other advanced analysis tools

• Work in highly diverse and collaborative teams with a product-heavy focus; Candidates with experience building products, web applications, and microservices from the ground up will be given preference