BE/B.Tech/M.Tech/MSc/MCA qualification or equivalent in Computer science / Mathematics / Statistics / IT
Experience:
Minimum 4+ years of work experience
Using analytical and statistical meansto identify fraud patterns within large data sets using
Development of Algorithms for Visualization andstatistical tools is essential
Mining and analysing data from databasesto drive optimization and improvement of current routines
Workingwith stakeholders throughout the organization to identify opportunities for leveraging enrolment and authentication data to drive fraud risk management solutions;
Developing custom data models andalgorithms to apply to data sets
Using predictivemodelling to increase and optimize customer experiences, discover new scenarios where fraudulent activity may happen
Coordinatingwith different functional teams to implement models and monitor outcomes;
Developing processes andtools to monitor and analyse model performance and data accuracy
Managing the fraud analytics and Investigation team to ensure compliance and meeting thedesired targets of fraud detection, investigation and mitigation
Deep knowledge associated Fraud detection, problem solving, analytical, report writing andcommunication
Knowledgeof statistical tools and query languages is desirable
Experience using statistical computer languages, querying databases and using statistical computer languages (R, Python, SLQ, )to manipulate data and draw insights from large data sets
Experienceworking with and creating data architectures
Knowledgeof a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests andproper usage, ) and experience with applications
Excellent writtenand verbal communication skills for coordinating across teams
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL,
Stronghold on R and statistical theories, Algorithms
Should have experience in using mathematical/statistical models, concepts and theoriesto analyse and collect data to validate and quantify risk
Awareness of security concepts isa must
Goodscripting knowledge with unix shell/phython, etc
Abilityto identify opportunities for automation of operational efficiency
Abilityto automate and integrate the tools with REST API/SDK with security dashboard
