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Primetrace Technologies
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Analytics Governance, Analytics Stewardship, Director

Analytics Governance, Analytics Stewardship, Director

Primetrace Technologies

12 - 17 years

20 - 25 Lacs

Gurugram

Posted:1 day ago| Platform:

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Skills Required

Change management Data management Risk analytics Data modeling Project management Healthcare Manager Quality Control Risk management Econometrics Financial services

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this role

About Aladdin Data:

Aladdin Data team is a part of BlackRocks Aladdin platform, which is a comprehensive investment and risk management system. The team is responsible for various aspects of data management and analytics delivery for our clients and BlackRock within the Aladdin ecosystem.

About the Analytics Stewardship Team

Analytics Stewardship team brings together the functional expertise and responsibilities within the Aladdin Data organization to ensure Aladdin s investment and risk analytics meets highest standard of quality and are delivered at scale. Analytics Stewards works along with Client Business, Product, Engineering, and broader Aladdin Data teams on design, improvement, development and deployment of new and existing analytics.

Leveraging financial market and analytics subject matter expertise, data science and engineering knowledge, and data governance principles, the team designs and supports Analytics Data solutions, which spans across quality management, change management, meta data management, incident/inquiry management and commercialization of analytics data assets.

Responsibilities :

Act as an owner of analytics data supported by Aladdin Data platform. Aspire to grow & improve the analytics data assets and increase their commercial value.
Own the change management across analytics estate partnering with various analytics collaborators to ensure analytics integrity
Apply advanced analytics and interpersonal skills to collaborate with analytics collaborators and articulate clear specifications for change management
Deep understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes
Develop analytics attribution framework by applying data science & AI/ML techniques advancing analytics governance practices
Collaborate with 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
Be the custodian of core & premium analytics - ensuring analytics generated meets all quality and governance standards
Lead by example to work with other data governance & quality control teams to build scalable processes to improve overall framework for analytics generation
Mentor and train junior analysts as they build expertise and gain exposure

Experience :

Candidates must have a validated history of addressing challenging real-world issues in investment and risk management sector. The individual will need to apply their advanced quantitative abilities to lead all aspects of sophisticated analytical initiatives sought 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
Proven track record of using data science & AI/ML techniques to solve sophisticated analytics problems in financial industry
Experience in leading cross-functional initiatives, with strong communication skills and project management ability
Experience in various modelling techniques, econometrics/statistics is desirable
Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment
Excellent interpersonal, oral, and written communication skills

Skills & Qualification

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
Experience in various modelling techniques, econometrics/statistics is desirable
Technical proficiency and experience in using data science, AI/ML techniques to solve problems in financial domains specifically in data & modeling space
Diligent, organized, dedicated and committed to lead multiple projects
Ability to prioritize and meet deadlines while multi-tasking with strong interpersonal skills
Extensive knowledge & understanding of financial markets, data, analytics & processes inspiring change in analytics (data, markets, models, configurations etc.)

Our benefits
.

Our hybrid work model

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Analytics Governance, Analytics Stewardship, Director