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Lead Consultant - Senior Data Scientist


With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.

The Role: Senior Data Scientist – Model Validation

This position is accountable for performing statistical / machine learning model validation, assessing model’s risks and implementing controls to mitigate identified risks.

The Data Scientist acts in an oversight role to ensure that risks associated with model implementation/application have  been outlined and mitigated, validates the model design and adheres to the model risk management policy and the overall risk management strategy. The successful candidate will document the process and the recommendations and communicate with the business and model owner throughout the engagement.

 

Responsibilities:

  • Reviews documentation, meets with the business, model owner to ensure understanding of the business problem.
  • Ensures that proper and adequate model documentation and model risk mitigation processes are in place to appropriately assess and mitigate model risk.
  • Assesses the data for model development, checks assumptions, inputs to the model and performs in-depth analysis to identify potential issues.
  • Independently develops benchmark model to assess whether submitted model behavior is consistent with the documented specifications and intended use.
  • Compares validation results with model developer results for replicability.
  • Ensures the transparency and interpretability of the models by keeping current with new research and methodologies that can explain black box models.
  • Keeps informed of current practices and research in statistical and machine learning modelling techniques and risk management by reading academic literature, attending academic and practitioner workshops and conferences.
  • Develops and maintains in-depth knowledge of business and related model validation/risk management requirements and regulatory guidelines.

Qualifications:

  • Advanced degree in Statistics, Math, Comp Sci, Engineering or other related discipline (post-grad preferred)
  • Specifically in building statistical/ machine learning models, data analysis and data mining
  • Model validation experience is preferred
  • Experience with model risk management practices, model life cycle
  • Proficient in either Python, R, SQL with working knowledge of the others
  • Experience with Big Data platforms
  • Adaptable and open to change with strong collaboration and communication skills
  • Insurance/Financial Services experience desired
  • Experience with Natural Language Processing, unstructured data, use of APIs

 

 

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. For more information, visit www.genpact.comFollow us on Twitter, Facebook, LinkedIn, and YouTube.

 

Job: Lead Consultant

Job ID: ITO044179

Primary Location: India - Gurugram

Education Level: Bachelor's / Graduation / Equivalent

Job Posting: Oct 11, 2021

Master Skills List: Corporate

Job Category: Full Time