Build a high-performing team by recruiting, onboarding, coaching, and continuously developing talent.
- Manage staff and functional activities to achieve team goals aligned with organizational objectives.
- Ensure productivity, data quality, and SLA compliance through rigorous performance oversight
- 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.
- Undertake projects to improve the data workflow, QA processes, Vendor data onboarding and ensure that these are executed in line with the transformation program
- 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.
- Lead the data transformation working the Data Operations teams in Manila/Mumbai & collaboration with BA/Project Management, Technology & Data Science teams.
- Strong data analysis skills with the ability to interpret large datasets and identify anomalies, report data trends and patterns.
- Participate and shape discussions on scaling & transforming operations, process changes, business priorities and client expectations
- Identify opportunities of leveraging ML/NLP for unstructured data extraction, quality enhancement
- Lead projects involving new data onboarding and ensure all new data sourcing is in-line with data transformation agenda
- Drive strategic planning and goal setting while fostering upskilling and career growth opportunities for the team.
Your Key Responsibilities
People Management:
- 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.
-
Develop Training plan and module
that helps training new joiners and backfills.
Delivery:
- 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).
- Create and implement the appropriate metrics on deliverables to the stakeholders and always ensure the agreed SLA is met.
Process Improvement:
- 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.
-
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
-
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
Necessary skills and qualifications:
- 10+ years of experience in Operations/Team Management, Process Optimization, Project & Change Management.
- 5+ years of people management experience, including leading teams and driving performance.
- Analytical skills and strong attention to details - Should have keen interest in analyzing data, process flows and quality focused
- 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.
- Should have very good hands-on skills working with advanced excel features and exposure to visualization tools such as PowerBI would be an advantage.
- Self-starter and self-motivated, must be solutions focused and could work in unstructured environments
- Comfortable working in a team environment across hierarchies, functions and geographies
- Should have experience of working in Financial/technology/Business Analysis domain
- Strong financial services knowledge and experience; good to have exposure to ESG, Private Assets would be added advantage
