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Credit Risk Modeler
Credit Risk ModelerInizio Partners • San Jose, CA, United States
Credit Risk Modeler

Credit Risk Modeler

Inizio Partners • San Jose, CA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
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About the job Credit Risk Modeler

Role : Senior Consultant - Credit Risk Modeler

Type : Hybrid (3 days / week from office)

Location : San Jose, CA or Chicago, IL

Compensation : $130k - $170k (depending on experience) + 12% bonus

Role Overview :

  • Emphasis is on coordinating & driving end to end delivery of project workstreams
  • Coordination with partner teams including senior leadership for alignments
  • Ownership of overall timelines and incorporation of feedback
  • Structure analytical solution when required, to address business objectives
  • Provide business acumen and hypothesis
  • Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysis
  • Presenting work directly to clients as required
  • Liaison and build relationships with the client

Responsibilities :

  • Project task management
  • Stakeholder management including senior leadership (VP+)
  • Communications, including deck writing
  • Coordination of all sub-team efforts
  • Delivery of output
  • Facilitation and gathering of client feedback on problem structuring
  • Effective management of frequency of feedback loop with offshore resources
  • Build capabilities in junior team members

    • Qualifications :

  • Master's degree in economics, mathematics, computer science / engineering, operations research or related analytics areas; candidates with BA / BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • 4-6 years of experience in Risk management processes, Credit strategy and modeling using Machine Learning modeling techniques
  • Technical Skills Required : Hive, PySpark, SQL, Python
  • Must have experience in development of Credit Risk models (probability of default, exposure at default, loss given default models etc) in alignment with internal and regulatory standards
  • Must be familiar with performing back testing and model performance tracking to ensure ongoing predictive accuracy and stability
  • Superior analytical and problem solving skills
  • Willingness to take initiative
  • Strong program management skills and ability to think abstractly deal with ambiguous / use defined problems
  • Proficient in executive level communications creating slides, decks and building data dashboards
  • Outstanding written and verbal communication skills
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