Analyst - Fraud | Experience: 4+ Years

Aujas Networks Pvt. Ltd.; Delhi; On-site; INR 800,000 - 1,200,000; Full time

Job summary

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