JP Morgan - Vice President/Assistant Vice President - HFS Data Engineer - Product Development

Vice President/Assistant Vice President

Responsibilities:

The candidate will partner with our Prod dev, Tech, Fund Accounting, Portfolio Accounting, Sales, and Clients in delivering the Product. Responsibilities include the following:

- Product Development: Developing/improving data models for Private Market data and analytics. There may be some custom deliverables for high-profile and complex clients.

- Modelling: Architect data pipelines, design enrichment processes and define canonical data models that enable unification across the data asset universe. Partner with stakeholders to enhance classification standards, conventions and data relationships as new markets, products and data domains emerge.

- Prototyping: Develop conceptual data prototypes that exemplify the use of modern technologies to deliver new functional data & analytics capabilities. Collaborate with the core engineering group to industrialize solutions and contribute to the core codebase.

- Data Governance: Familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems

- Client Adoption/Engagement: Create factsheets with client's datasets through datasets and also support advanced client and product managers for explanation on data and associated analytical results

Required skills/experience:

- Excellent communication skills are required as the candidate will be required to interact extensively with the product management, technology, and control teams

- Role requires a detailed understanding of new age Data Service and Financial Modelling

- Setting up enterprise level data warehouse including multiple internal and external master data and accounting datasets.

- Designing, creating, building, and maintaining data pipelines to collating raw data from various sources and ensuring performance optimization.

- Understanding of Private and Public market financial data.

- Back office experience in operations, fund accounting, portfolio accounting, fund structures, and financial reporting.

- Experience in fund accounting and portfolio accounting vendor systems like Investran / Arcesium / Geneva is good to have.

- Knowledge of data transfer through API.

- It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge

- Master's or B.Tech/B.E / MCA degree in a numerate subject from a top academic institution is highly desirable, but not an absolute requirement

- 12 to 15 years' experience in developing complex SQL queries, stored procedures, and other RDBMS objects on SQL server database.

- Mastery of application, data, and infrastructure architecture disciplines.

- Highly analytical with strong capability in Mathematics, Statistics.

- Highly skilled on performance tuning of the database.

- Experience working with data wrangling and visualizations

- High performance computing and memory management

- Good to have programming/scripting skills with multiple modern programming languages including Python, Java or similar.

- Close attention to detail and ability to work to very high standards

Location :- Bangalore

Timing :- UK shift