Assistant Vice President

2 weeks ago

Delhi NCR, India One of the Consulting Firms Full time

Key Responsibilities:

- Lead the discussions with business stakeholders, third-party vendors and partners to design appropriate model specifications to solve business problems and to develop models for Synchrony that align with Model Risk Management ("MRM") standards and Model Development procedures and evaluate such solutions for their efficacy and risk.

- Write model documentation and support the model validation process.

- Ensure modeling process compliance with internal procedures, standards, policies, and external regulatory guidance.

- Keep pace with the latest developments in statistical modeling, data science, machine learning, artificial intelligence, risk technology (vendor and in-house), and regulatory environment in order to provide guidance to stakeholders.

- Support stakeholders on projects related to root cause analysis (including handling escalated discussions with stakeholders that require savvy solutions to complex problems), regulatory examinations and internal audits of the modeling process and selected model samples.

- Perform and provide assessments of all aspects of models including theoretical aspects, model design and implementation, data integrity and reliability, sufficiency of outcomes analysis, and effectiveness of the ongoing monitoring.

- Continuously drive better model risk management practices and add value to the business through more efficiency, stronger controls, better processes, and strong partnerships with model stakeholders.

- Extract, manipulate datasets from source systems utilizing SQL, Python Spark, SAS etc.

- Effectively manage projects and team with proactive communication with stakeholders and to build strong relationships with US and IAH teams to communicate the value proposition of the team to drive engagements and business impact.

Required Skills/Knowledge :

- BS or MS in Statistics, Economics, Mathematics, Engineering, or another quantitative field with 6+ years of hands-on Analytics/Data science experience, or in lieu of a degree with 8+ years of hands-on Analytics/Data science experience.

- Minimum 6+ years of hands-on Analytics Experience with SQL, SAS, Python, Spark, Scala, and Hive Tools with the ability to leverage advanced algorithms (like XG Boost, Random Forest, Neural Networks etc.) and be efficient in handling complex/large data.

- Machine Learning Certificate (AWS Certified Machine Learning or SAS- Certified Data Scientist or similar)

Excellent verbal/written skills and stakeholder management skills are critical as this role entails communicating technical and complex insights to both technical and non-technical audiences across all levels of the organization.

- Strategic thinker with an ability to innovate and find creative solutions to meeting business goals and Strong grasp of business aspects (like financial P&L drivers, credit card dynamics, etc.), demonstrated through seamless delivery on own and team's projects.

- Strong skills in project management, communications, multi-tasking, ability to work independently, and relationship management.

- Demonstrated ability to manage complexity and multiple initiatives under aggressive timelines.

- Ability to synthesize/analyze diverse information, develop and recommend strategies, and articulate clearly to business partners and customers.

Desired Skills/Knowledge :

- Good knowledge on US credit card Business/Industry

- Exposure to building Vendor Models and Model Risk Management Procedures

- Good knowledge on NLP Techniques and GenAI Models

Eligibility Criteria :

BS or MS in Statistics, Economics, Mathematics, Engineering, or another quantitative field with 6+ years of hands-on Analytics/Data science experience, or in lieu of a degree with 8+ years of hands-on Analytics/Data science experience.

(ref:hirist.tech)

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