Model developer-machine learning
1 month ago
Inviting applications for the role of Manager/Sr Manager, Machine Learning Modeler (Development/Validation) & Researcher Specialist.
In this role, you will be responsible for Development or Validation of Machine Learning Models (models in Credit Risk, Financial Crime like Fraud or AML (Anti Money Laundering), Marketing Campaigns, Adjudication models etc.) for banking and financial institutions. Responsibilities also include staying abreast on modeling policies, crafting whitepapers, 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 Machine Learning Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following:
· Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures.
· Assess the data quality for model development and inputs to the model, providing recommendations to improve the data quality at the source.
· Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare 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 machine learning models and risk management of credit risk models, behavioral models (like AML or Fraud models), additional expertise in marketing campaign models or adjudication models using machine learning techniques are preferred)
· 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, Markov TPM, 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 of 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
· Strong networking, negotiation and influencing skills.
· Prior experience in financial crime, machine learning models
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on Linked In, X, You Tube, and Facebook
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