Party Reference Data Operations Associate
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
You are a strategic thinker passionate about driving solutions. You have found the right team.
As a Client Account Services (CAS) Party Reference Data you will be responsible for timely and accurate completion of reference static data setup and maintenance across various LOBs and locations in Party Central system.
Job Description
- Overseeing daily production processes as well as a project portfolio for strategic identifiers & BAU functions
- Drive daily & weekly stakeholder calls and resolve outstanding items, issues
- Undertake quality checks on records processed by the team and ensure issues are identified proactively
- Interfacing with stakeholders in front office, middle office, and client onboarding teams
- Subject matter expertise in party reference data and data quality management
- Identify process improvement opportunities and drive continuous improvement
- Transparency through metrics on quality and productivity
- Coaching and developing analysts
Required qualifications. Capabilities and skills:
- You must have at least 7+ years of experience leading global operations teams
- Experience in data management, process management, business management, project management , Process improvement & Lean, Client documentation, Data Quality
- You must have a bachelor's degree or above
- Client onboarding, KYC, or middle office
- Motivate team members by demonstrating passion and vision
- Extensive Reference Data background
- Analyze data sets to identity fact patterns, root causes, key drivers, etc.
- Analyze processes and identify opportunities to improve efficiency and control
- Explain complex concepts in simple terms and create concise executive summaries (Data Story telling)
- Research issues, ask relevant questions, connect concepts, and make recommendations
- Work collaboratively in a matrixed environment
- Experience in data management, process management, business management, project management , Process improvement & Lean
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
MLOps Jobs
Tags: Data management DataOps Data quality Research
Region:
Asia/Pacific
Country:
India
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