AWM Pricing Data Product Management Vice President
LONDON, United Kingdom
JPMorgan Chase & Co.
You will serve as team member of a product owner team that is accountable for the continuous improvement of the pricing data domain and support ongoing business initiatives ( new products, growth/integration new acquisitions and X-lob initiatives, regulatory mandates, etc.) and maintain engagement with product owners of related products i.e. Instruments, benchmarks, analytics, investment books and records and performance.
Key short and long-term objectives for the role include the following:
- Replacement of a highly fragmented architecture with multiple legacy sources and feeds with a single strategic System of Record (SOR)
- Modernization of the environment, increase in STP and elimination of manual setup/maintenance with of up to 95 % reduction of manual tasks related to setup, maintenance of instruments, handlings of multiple pricing and classifications; as a result, speed to market will be significantly improved which directly benefit trade flow execution, product development
- Simplification and scalability - the strategic SOR will replace more than 70+ legacy sources and feeds in the target state, unifying pricing data services across Asset Management and Wealth Management ecosystems. The architecture simplification will leverage PUMA, a Firmwide pricing platform that supports golden hierarchies of renowned market data vendor sources
- Platform stability - Rationalization of off line data processing, legacy data feeds/UTs that support sources outside of the standard vendor flow (FW Puma)
- The program has a direct impact to major business initiatives including AMPM, RIO, 55iP/MAS/ETF, Performance/ Attribution
Job Responsibilities
- Act a product SME/designer for the pricing data product
- Underwrite gap analysis between data FW sources of records and AM legacy data source; design and implement solutions for differences based on business requirements
- Define and manage requirements to support adoption of instrument data via RADIX. Gather and analyze requirements to support adoption of pricing data, and help to implement data quality standards and processes
- Define, produce and present MIS and metrics on data quality and controls and define integration requirements with AWM sourced and derived data
- Engage business users including FO trading desks, compliance, risk, finance and aligned technology teams and collaborate on a development of an adoption roadmap
- Document and track project reporting metrics and scorecards
- Lead and participate related working groups and meetings e.g. cross-business stakeholders’ meetings, L2 firmwide WGs.
Required qualifications, capabilities, and skills
- Experience in a major financial services organization, with data project management experience e.g. business analysis and Data/system migration projects
- Deep knowledge of data domains Including instruments across all asset classes, Product data needed by an asset & wealth management organization.
- Strong Knowledge of best practices for Business Requirements Documents (BRD’s)
- Proven ability to translate requirements into data modelling, adhering to firm-wide architectural standards, such as logical to physical data modelling
- Thorough understanding of the financial services industry and businesses e.g., buy side/Sell side as well as related operations and technology functions
- Awareness of data related industry regulatory requirements. Background in data management practices, business and technology issues related to management of enterprise information assets and data quality framework
- Bachelor in Business Administration, Finance, Computer Science, MIS, or Information Management or equivalent
Preferential qualifications, capabilities, and skills
- Project Management
- Strong Analytical capabilities
- Tech productivity tools e.g. business intelligence/reporting tools (Alteryx, tableau, etc.)
- Experienced in creating presentations for senior management
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 💰
Tags: Architecture Business Intelligence Computer Science Data management Data quality Finance Tableau
Perks/benefits: Startup environment
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