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Director-Data Science

Director-Data Science

American ExpressGurugram, Haryana, India
13 days ago
Job description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

How will you make an impact in this role?

Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.

Purpose of the Role :

The successful candidate will be responsible to manage AI / ML model risk, specifically associated to the next generation Machine Learning based models for credit and fraud risk.

This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened supervisory expectations.

The specific responsibilities include :

  • Conduct independent research and oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for credit, fraud or other business / risk types.
  • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
  • Conduct AI / ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact.
  • Communicating results to stakeholders, senior leadership and model committees
  • Bring in external perspective around industry GSIB practices, to strengthen model risk management at American Express

Critical Factors to Success :

1.Business Outcomes :

  • Regulatory Agility : Anticipates evolving guidelines, adapts swiftly, and collaborates with regulators to shape effective risk management practices.
  • Adaptive Resilience : To become an agile partner that anticipates risk through independent monitoring, adapts swiftly and ensures models remain robust and relevant.
  • Holistic Integration : To break down silos and integrate MRM seamlessly across the organization by bringing along stakeholders. Continue to support and effectively engage with our first line business units as trusted advisors while also providing independent and credible challenge.
  • Innovation : To create an innovation hub, that leads with external perspective and proactively identifies model risk in the system (publishing white papers on the same).
  • Create the next generation of core capabilities and technological advancements that will foster innovation.
  • Business success : Build a robust model risk management framework, appetite and strategy ensuring they accurately reflect firm’s strategy, desired business outcomes and that the company remains within its risk appetite
  • 2. Leadership Outcomes :

  • Develop and executes a vision to strengthen model risk management for credit and fraud risk models for American Express
  • Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
  • Forward looking : To foster a culture that proactively anticipates future developments and draws insights from external perspectives.
  • Bring in external perspective around industry GSIB practices, to strengthen model risk management at American Express
  • Demonstrate learning agility, make decisions quickly and with the highest level of integrity
  • Lead with a mindset of establishing excellence in model risk management practices
  • Coach and develop a batch of strong model risk managers, and people leaders
  • Experience :

    Preferred at least 6-7 years’ experience in model risk management, data science, and machine learning.

    Academic Background :

    Preferred master’s degree in economics, Statistics, Machine learning, Data science Or Related Fields from Top Tier Institute.

    Key Functional, Technical and Leadership Skills / Capabilities :

  • Clear understanding of AI / ML model risk management controls / practices.
  • Strong grasp around regulatory supervisories for model risk management, and industry perspective
  • Hands-on AI / ML model validation and preferably AI / ML model development experience. Experience in applying advanced statistical and / or quantitative techniques to solve business problems.
  • Strong experience / expertise with data science tools and AI / ML model development algorithms.
  • Ability to manage key stakeholders and partners and drive agenda. Strong project management skills for driving model validation initiatives.
  • Ability and track record to drive innovation and defining what winning looks like.
  • Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
  • Ability and track record to bring others along with you, to drive and deliver on key initiatives. Willingness and ability to effectively collaborate with Cross-Functional teams to drive validation and Project Execution.
  • Flexibility and adaptability to work within tight deadlines and changing priorities in a dynamic environment. Ability to make quick decisions after close and effective review of data and business outcomes.
  • Ability and experience in nurturing and developing strong talent pipeline.
  • We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include :

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities
  • American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

    Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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    Science • Gurugram, Haryana, India

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