Ideal Candidate Qualifications: • Superior academic record at a leading national university • In depth technical knowledge, drive and ability to learn new technologies • Experience on Platforms/ Data Environments • Prior experience in working in product development/management role • In depth technical knowledge, drive and ability to learn new technologies • Outstanding communication skills (both verbal and written) and organizational skills • Strong project management skills • Experience in delivering analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting • Experience in building and deploying production level data driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python • Curiosity, creativity, and excitement for technology and innovation • Demonstrated quantitative and problem-solving abilities • Ability to multi-task and strong attention to detail • Motivation, flexibility, self-direction, and desire to thrive on small project teams • Coding experience will be an asset The following skills will be considered as a plus • Financial Institution or a Payments experience a plus • Experience in developing integrated cloud applications with services like Azure. • Work with small, cross-functional teams to define vision, establish team culture and processes • Consistently focus on key drivers of organization value and prioritize operational activities accordingly • Identify and act upon product improvement opportunities • Aggregate and collate client data sets and conduct data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights • Clean and structure data sets fed to downstream analytics • Escalate technical errors or bugs detected in project work • Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.