Candidate must have a bachelor’s degree ideally in a STEM field such as mathematics, statistics, engineering, operations research and computer science, or business-related fields such as finance or economics.
Candidate must have 7+ years of relevant experience including in risk / fraud functions.
Candidate must be proficient in the use of data and analytics tools such as: SQL databases and querying, graph databases and querying, HDFS, Hive, Impala, Python, PySpark, Pandas.
Candidate must have working knowledge of data science concepts including statistics and modeling, data engineering (inclusive of structured, unstructured, semi-structured and graph data), and business acumen relevant to banking and fraud.
Candidate must have superior communication skills and be able to present confidently to all levels of the organization with the appropriate level of detail for the audience.
Candidate must have exceptional organization skills and be able to deal with multiple critical projects underway at once while also dealing with the day-to-day management of fraud.
Desired Skills:
Required skills and
Master’s degree in a STEM field such as mathematics, statistics, engineering, operations research and computer science, or business-related fields such as finance or economics.
Deep experience operating with closely integrated cross-functional teams of data scientists, data engineers, platform engineers and business experts.
Strong experience in development lifecycle as it relates to data science and productionizing (i.e., CRISP-DM, SDLC) of use cases with technology including testing design and validating deployments.
Strong experience in advanced technologies for data storage and processing such as graph and big data, including involvement in multiple deployments to a production environment.
Experience with advanced methods such as graph algorithm development, parallel processing, neural networks, large language models, or otherwise AI/ML concepts related to combating fraud are a plus.
Experience with development methodologies like Agile that drives adaptability and collaboration in a dynamic and complex environment. Is comfortable with navigating ambiguity through building relationships, critical thinking, innovation, and teamwork.
Cyber / Information security experience is a plus.
Work Timings: 11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM