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Fraud Analyst

4.00 to 10.00 Years   Delhi   17 Apr, 2023
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Qualifications:
    • 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 means to identify fraud patterns within large data sets using
    • Development of Algorithms for Visualization and statistical tools is essential
    • Mining and analysing data from databases to drive optimization and improvement of current routines
    • Working with stakeholders throughout the organization to identify opportunities for leveraging enrolment and authentication data to drive fraud risk management solutions;
    • Developing custom data models and algorithms to apply to data sets
    • Using predictive modelling to increase and optimize customer experiences, discover new scenarios where fraudulent activity may happen
    • Coordinating with different functional teams to implement models and monitor outcomes;
    • Developing processes and tools to monitor and analyse model performance and data accuracy
    • Managing the fraud analytics and Investigation team to ensure compliance and meeting the desired targets of fraud detection, investigation and mitigation
    • Deep knowledge associated Fraud detection, problem solving, analytical, report writing and communication
    • Knowledge of 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
    • Experience working with and creating data architectures
    • Knowledge of 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 and proper usage, ) and experience with applications
    • Excellent written and verbal communication skills for coordinating across teams
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL,
    • Strong hold on R and statistical theories, Algorithms
    • Should have experience in using mathematical/statistical models, concepts and theories to analyse and collect data to validate and quantify risk
    • Awareness of security concepts is a must
    • Good scripting knowledge with unix shell/phython, etc
    • Ability to identify opportunities for automation of operational efficiency
    • Ability to automate and integrate the tools with REST API/SDK with security dashboard
    Learn more about our Managed Detection And Response Services .

Keyskills :
bankingrisk managementcustomer servicedebitcreditartificial neural networksdata modelsreport writingproblem solvingfraud detectionfraud analytics

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