A leading cybersecurity firm in Delhi seeks a Fraud Analytics Specialist with at least 4 years of experience. The ideal candidate will develop algorithms, analyze data, and lead a team to ensure effective fraud detection and management. Expertise in statistical tools and programming languages such as R and Python is essential for this role. The firm offers competitive compensation and a collaborative work environment.
Qualifications
4+ years of work experience in fraud analytics or related field.
Expertise in data mining and analysis to drive fraud detection.
Proficient in predictive modeling for customer experience optimization.
Responsibilities
Identify fraud patterns within large datasets.
Develop algorithms for visualization and statistical tools.
Lead the fraud analytics and investigation team.
Skills
Analytical skills
Database querying
Machine learning techniques
Communication skills
Scripting knowledge
Education
BE/B.Tech/M.Tech/MSc/MCA in Computer science/Mathematics/Statistics/IT
Tools
R
Python
SQL
Hadoop
Spark
MySQL
Job description
Category: Managed Detection And Response
Job Id: 56781
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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