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    Manager- Market Data Operations - mumbai, India - Morningstar

    Morningstar
    Morningstar mumbai, India

    6 days ago

    Default job background
    Full time
    Description

    Role : Manager, Market Data Operation

    Shift : General

    About the role:

    The Team : Market Data Ops team is part of the broader Realtime, Reference & Entity Data team under ED&P. The Market Data universe delivers millions of instruments traded in markets worldwide, representing a full range of asset classes. We supply this data both internally and externally to clients, supporting the need for fast, reliable market information in a variety of formats and time intervals.

    The Role :

    As an "Manager – Market Data Operations" you will oversee the management of the data operations for Market Data team that powers the Morningstar products and platform. You will build and lead a team located in Mumbai to further develop our data operations for Morningstar's Market Data operations. This position is an integral part of the Realtime, Reference & Entity Data leadership team. You will operate both as an operational leader and a strategist contributing to and implementing our defined strategic business initiatives. You will continuously develop the people and the processes to drive the growth of our talent, content, and operational productivity.
    This role will work with business analysts, data analysts, developers and technical support. You will be taking part in activities from conceptualization, definition and planning through implementation, release, enhancement, and eventual sun setting – the full product lifecycle. This role acts as an expert to translate client needs and external data source specifications into customer change notifications and deliverables that provide accurate Market Data on the Morningstar Market Data feed, with a focus on automation and data quality.
    This role is based in our Mumbai office reporting to the Director of Reference Data (EDP).

    Job responsibilities:

    Strategic Leadership & Process Ownership
     Cater to our 24*5 Global Operating model with optimum utilization of resources and capacity.
     Build and lead a Data Research Analyst team that delivers on its mandate, using key metrics for success, data quality & productivity.
     Play the role of "Owner" for Market data services team and Data Asset on Data Lake.
     Translate Product Strategy/roadmap into user stories/requirements. Create and maintain the product backlog to manage these stories.
     Management of the rationalization and improving the quality of Market data reference data meeting business and product delivery as decided with executive leadership.
     Responsible for Corporate action collection/validation and processing on the market data feed, including price adjustments, symbology changes and entity mapping.
     Maintain existing subscription workflows & create new packages as per requirements.
     Partner with client services, solutions and stakeholders to understand how users interact with the product.
     Work closely with Development team to answer questions, convey product knowledge and deliver direction during product development.
     Collaborate with stakeholders across the organization, develop business cases to evaluate revenue/cost impact of new products/features using approaches such as competitive analysis, market research, market sizing and financial analysis.
     Act as Scrum Master/Project Manager for sprint planning and project tracking.
     Develop and document use cases to ensure new functionality meets and exceeds user expectations.
     Oversee the execution of the team's key priorities and strategy against the roadmap.
     Effectively report up to senior management and provide insights on risks, challenges, and solutions.
    People Development
     Identify and develop talent on the team; focus on having the relevant competencies and skills developed in the team, aligned to our global Data Competency Model.
     Provide coaching, mentorship, and training as appropriate and according to the specific needs of the individual's role and responsibility.
     Conduct performance reviews, manage team compensation tasks and discuss career development paths and opportunities for direct reports.
    Ideas & Innovation (Tech Savvy)
     Work closely with the Technology, project team and other stakeholders to review, prioritize and track the progress of automation goals/AI, Machine Learning (ML) opportunities.
     Identify areas of automation & process improvements for our processes, systems, and applications/tools.

    Qualifications:

     Bachelor/master's degree or equivalent in finance/technical discipline with an exceptional academic record.
     Total 10+ years of professional work experience including 5+ years of people management experience.
     At least 5 years of relevant experience required, with some demonstrated experience as a business analyst, product owner, tech lead or product manager desired. Knowledge and experience with Market data and a technical acumen are also desired.
     Customer Centricity and ability to handle intense customer oriented situations is a must
     Working knowledge of Exchange Data
     Excellent business judgment, analytical, problem-solving, planning and decision-making skills, in addition to exemplary communication and presentation abilities overall.
     Experience with real-time data feeds and financial domain desirable.
     Scripting language knowledge (Python is preferred).
     SQL Database knowledge (ANSI and T-SQL preferred).
     Knowledge of AI/ML document processing an advantage.
     Automation mindset to facilitate process improvements.
     Strong People and Project management skills.
     Proven experience in optimizing processes with visible outcome.
     Strong work ethics and eagerness to learn in a constantly evolving and fast-paced environment.
     Ready to work in shifts as required by the business

    I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

    Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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