Delhi Fraud investigation Jobs – 7 Open Jobs Today

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Fraud Analyst

Aujas -
Delhi

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Job details

Qualifications

Statistics
Computer Science
Spark
R
UNIX
Apache Hive
Master's degree
Databases
MCA
Statistical analysis
Bachelor's degree
Machine learning
SDKs
REST
Scripting
APIs
Predictive analytics
IT
B.E.
Fraud prevention and detection
Communication skills
Python
MySQL
Hadoop

Full job description

Location: Delhi (India)

Category: Managed Detection And Response

Job Id: 56781

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

Apply Now

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fraud investigation jobs in delhi

Fraud Analyst

Senior Manager

AM- FWA (Thane - GCorp)

SLP Expert, INTL, SLP INTL

Senior Risk Manager

Team Member - Market Conduct

Premier Service Manager

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