POSITION OVERVIEW Senior Associate
Role & Responsibilities
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Build a high-performing team by recruiting, onboarding, coaching, and continuously developing talent.
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Manage staff and functional activities to achieve team goals aligned with organizational objectives.
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Ensure productivity, data quality, and SLA compliance through rigorous performance oversight
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Evaluate and implement industry leading QA practices on both data and content, re-engineer quality assurance and quality control processes including working on effectively tracking and reporting quality improvements.
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Undertake projects to improve the data workflow, QA processes, Vendor data onboarding and ensure that these are executed in line with the transformation program
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Evaluate re-engineering opportunities by analyzing existing processes and systematically identify manual/off-system tasks and processes bottlenecks, create process maps as specifications for BA/IT and drive them.
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Lead the data transformation working the Data Operations teams in Manila/Mumbai & collaboration with BA/Project Management, Technology & Data Science teams.
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Strong data analysis skills with the ability to interpret large datasets and identify anomalies, report data trends and patterns.
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Participate and shape discussions on scaling & transforming operations, process changes, business priorities and client expectations
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Identify opportunities of leveraging ML/NLP for unstructured data extraction, quality enhancement
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Lead projects involving new data onboarding and ensure all new data sourcing is in-line with data transformation agenda
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Drive strategic planning and goal setting while fostering upskilling and career growth opportunities for the team.
Your Key Responsibilities
- Focus on training pool of Juniors, and
setting up of team workflows
, process to detect data quality issues, metrics and KPIs. - Consistent touch on Team members progress and helping team to acquire right level of trainings and skills.
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Develop Training plan and module
that helps training new joiners and backfills.
- Deliver quality assured data (financial/non-financial) as per agreed daily SLAs
- Work with internal stakeholders and downstream teams on meeting Service Level Agreements (SLA) on data Quality Assurance (accuracy, completeness, and timeliness).
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Create and implement the appropriate metrics
on deliverables to the stakeholders and always ensure the agreed SLA is met.
- Create new process metrics, KPI and scorecard.
- Can independently manage the deliverables and stakeholders expectations.
- Lead team Quality improvements by analyzing existing process and focus on areas for improvement, automation applying Lean Six Sigma, Balanced Scorecard, and other TQM approaches.
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Focused on process improvements
including elimination of redundancies, brainstorming the process improvements
ideas and partner with the engineering teams to improvise the current state of work. - Work schedules is in India time zone could extend into EMEA hours for meetings
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Adaptability and flexibility to work
in a fast paced and changing environment -
Ability to work within a team-oriented environment
across hierarchies, functions and geographies -
Ability to communicate
with various internal and external parties globally. -
Intent in automation
and carry supporting skills like advanced excel knowledge
, building dashboard using PowerBI
, and automation through Jupyter/Python notebooks etc. - Have high interests to learn new things and willingness to take and deliver challenging work.
Good to have:
- Have sound knowledge on capital markets and functioning of the markets (Exposure to various financial products like Equities, Fixed Income, Derivatives, Commodities, Corporate actions etc.)
- Knowledge about Financial Statements like Annual reports, Income statement, Balance Sheet, and Cash flow statement
Your skills and experience that will help you excel
Necessary skills and qualifications:
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10+ years of experience in Operations/Team Management, Process Optimization, Project & Change Management.
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5+ years of people management experience, including leading teams and driving performance.
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Analytical skills and strong attention to details - Should have keen interest in analyzing data, process flows and quality focused
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It is an added advantage for the exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA or showing interest in learning and scale.
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Should have very good hands-on skills working with advanced excel features and exposure to visualization tools such as PowerBI would be an advantage.
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Self-starter and self-motivated, must be solutions focused and could work in unstructured environments
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Comfortable working in a team environment across hierarchies, functions and geographies
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Should have experience of working in Financial/technology/Business Analysis domain
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Strong financial services knowledge and experience; good to have exposure to ESG, Private Assets would be added advantage
About MSCI
What we offer you
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum.
