Fraud Detection and Prevention
Apply NowCompany: Della Infotech, Inc.
Location: Jersey City, NJ 07305
Description:
In this role, you will be responsible for Development, Validation of Behavioral Models or perform data and statistical analysis in the Fraud Analytics space for banking and financial institutions. Responsibilities also include staying abreast on modeling policies, crafting white papers, and preparing artifacts for model development and validation.
Responsibilities
You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Behavioral Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. Your activities will include, but will not be limited to the following:
Provide analytical support for recommending actions to mitigate Fraud risk and use quantitative analysis regarding Fraud mitigation strategies and its effectiveness.
Perform segmentation analysis, portfolio quality study, review key metrics like false positive rate; capture rate; hit rate etc. to optimize fraud models, rules and strategies.
Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and preparing end to end model documentation.
Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps.
Conducting in-depth research on existing and emerging policies related to behavioral modeling and contributing to the creation of whitepapers. Researching and contributing to artifact creation as required in a consulting role.
Qualifications we seek in you!
Minimum qualifications
Experience in developing, validating fraud models and strategies using machine learning and statistical techniques
Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models
Statistical modeling experience including regression, time series, survival techniques etc.
Detailed knowledge of data analysis / analytics / mining techniques
Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets.
Strong scripting and automation experience using SAS/Python/R etc.
Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.)
Strong client management and communication/presentation skills - written & verbal.
Self-driven, proactive, "can-do" attitude. Ability to work under ambiguity and with minimal supervision.
Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units.
Strong project management orientation with ability to work under time-sensitive commitments.
Lead projects and teams - provide thought leadership, technical guidance, training, and oversight.
Preferred Qualifications/ Skills
Strong networking, negotiation and influencing skills.
Prior experience in financial crime, machine learning models
Responsibilities
You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Behavioral Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. Your activities will include, but will not be limited to the following:
Provide analytical support for recommending actions to mitigate Fraud risk and use quantitative analysis regarding Fraud mitigation strategies and its effectiveness.
Perform segmentation analysis, portfolio quality study, review key metrics like false positive rate; capture rate; hit rate etc. to optimize fraud models, rules and strategies.
Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and preparing end to end model documentation.
Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps.
Conducting in-depth research on existing and emerging policies related to behavioral modeling and contributing to the creation of whitepapers. Researching and contributing to artifact creation as required in a consulting role.
Qualifications we seek in you!
Minimum qualifications
Experience in developing, validating fraud models and strategies using machine learning and statistical techniques
Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models
Statistical modeling experience including regression, time series, survival techniques etc.
Detailed knowledge of data analysis / analytics / mining techniques
Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets.
Strong scripting and automation experience using SAS/Python/R etc.
Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.)
Strong client management and communication/presentation skills - written & verbal.
Self-driven, proactive, "can-do" attitude. Ability to work under ambiguity and with minimal supervision.
Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units.
Strong project management orientation with ability to work under time-sensitive commitments.
Lead projects and teams - provide thought leadership, technical guidance, training, and oversight.
Preferred Qualifications/ Skills
Strong networking, negotiation and influencing skills.
Prior experience in financial crime, machine learning models