What You’ll Do
Define the Data User Experience
Set the vision and own the execution for the end-to-end data experience in BQuant
Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements
Balance short-term improvements with long-term platform scalability
Build a Scalable Data Analytics Platform
Ensure data can be easily integrated, enriched, and combined with client data
Define and evolve API abstractions for using financial and alternative datasets
Ensure data is provisioned with appropriate SLAs, reliability, and performance
Enable support for different workflows using batch and streaming data
Drive consistency in how data is modeled, accessed, and used across the platform
Ensure robust handling of entitlements, security, and data governance
Enable Quantitative and Data Intensive Workflows
Support workflows across research, backtesting, and production deployment
Enable users to generate signals and analytics from combined datasets
Partner with teams building solutions on top of the data platform
Ensure the platform supports multi-asset and complex financial data use cases
Enable users to trust data across the full lifecycle from experimentation to production
Collaborate Across Bloomberg
Act as the primary liaison with data-producing teams to onboard new datasets
Partner with Engineering, UX, and other product teams to deliver cohesive solutions
Balance the needs of internal platform users and external clients
What We’re Looking For
Product Strategy & Execution
Proven ability (5 yrs+) to define and execute product strategy for platform products
Expert prioritization skills balancing user needs, technical constraints, and business impact
Experience delivering complex products from concept through execution
Data Platform Expertise and Innovation
Strong experience building or leading data platforms or analytics infrastructure
Good understanding of data access patterns, APIs, and data modeling
Experience working with large-scale datasets, including time series and streaming data
Practical experience applying AI/ML to solve customer problems, with a strong understanding of how to translate emerging capabilities into product strategy and measurable outcomes
Partnership & Communication
Deep experience working closely with engineering teams on technical platform products
Excellent communication skills with both technical and non-technical stakeholders
Strong collaboration skills across Product, Engineering, Quants, and business teams
Quantitative & Data Workflow Understanding
Understanding of workflows across research, analytics, and trading
Experience enabling users to combine multiple datasets and generate insights
Familiarity with challenges in moving from research to production systems
Experience addressing data quality, entitlements, security, and governance challenges
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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