Director of Advanced Analytics

9 hours ago

Gurgaon, Haryana, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About This Position


We are seeking a seasoned professional to join our team as a Director of Data Analytics. The ideal candidate will have extensive experience in data governance, analytics stewardship, and leadership. The role requires a deep understanding of risk models across asset classes, securities, and portfolios, as well as advanced analytics and interpersonal skills.

Key Responsibilities
- Act as the owner of analytics data supported by Aladdin's platform, aiming to grow and improve analytics data assets and increase their commercial value.
- Own change management across the analytics estate, partnering with various collaborators to ensure analytics integrity.
- Apply advanced analytics and interpersonal skills to collaborate with analysts and articulate clear specifications for change management.
- Develop an analytics attribution framework by applying data science and AI/ML techniques advancing analytics governance practices.
- Collaborate with the broader Aladdin team to scale and advance Aladdin's analytical capabilities.
- Work with analytics, modeling, and risk management teams to ensure new models meet business requirements and are aligned with data management policies.

Requirements
Candidates must have a validated history of addressing challenging real-world issues in the investment and risk management sector. The individual will need to apply their advanced quantitative abilities to lead all aspects of sophisticated analytical initiatives aimed at improving the analytics estate.

- 12+ years of experience in the financial services industry in a Data Analytics/Data Science oriented role, with knowledge of risk & investment workflows & products.
- Proven track record of working with financial markets, investment and risk analytics, modeling, and data engineering & management functions.
- Experience in leading cross-functional initiatives, with strong communication skills and project management ability.

Qualifications
- Degree in Engineering, Finance, Mathematics, or other quantitative field of study preferred. Bachelor's degree is required. Advance degree preferred.
- Excellent quantitative and analytics skills. Ability to identify problems, design and articulate solutions, and implement end-to-end solutions.
- Technical proficiency and experience in using data science, AI/ML techniques to solve problems in financial domains specifically in data & modeling space.

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