Overview
On Site
Full Time
Skills
Bloomberg
Front Office
Securities
Fixed Income
Algorithms
Machine Learning (ML)
Finance
Data Lake
Market Analysis
Reference Data
Research
Roadmaps
Pricing
Development Testing
Analytics
Data Modeling
Data Science
Training
Artificial Intelligence
Agile
Software Development
Product Management
Effective Communication
Collaboration
Leadership
User Stories
Big Data
Management
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon S3
Python
Computer Science
Mathematics
Job Details
Bloomberg's Fixed Income Pricing group provides gold standard pricing services to the financial markets. Our solutions include products like BVAL, IBVAL Front Office, CBBT and BGN. We price over 3 million securities across all fixed income asset classes, including thinly traded and hard-to-price fixed income securities. Our customers rely on us to understand markets and analyze complex structures which allow them to make thoughtful investment decisions, which ultimately creates more value for the investor. Our mission is to drive greater transparency, liquidity and safety in global fixed income markets.
To produce this pricing data, we absorb billions of data points from hundreds of financial markets every day. We pipe this data through pricing algorithms which employ quantitative and machine learning techniques. This process produces high quality pricing that the market and our customers need. We also develop applications that provide intelligent analytics and transparency for these prices.
What's the role?
We are seeking a Technical Product Manager who would be responsible for defining, prioritizing, and delivering big data platform services that will better allow us to leverage our petabytes of financial data to produce our best-in-class bond pricing solutions. They would oversee the ongoing development of our Data Lake platforms along with partnering with other team members who are covering Market Data, Reference Data, low-latency intraday infrastructure, as well as other horizontal teams. They would work closely with engineers and other business peers to create product roadmaps, user stories, and specifications.
We'll trust you to:
You'll need to have:
We would love to see:
To produce this pricing data, we absorb billions of data points from hundreds of financial markets every day. We pipe this data through pricing algorithms which employ quantitative and machine learning techniques. This process produces high quality pricing that the market and our customers need. We also develop applications that provide intelligent analytics and transparency for these prices.
What's the role?
We are seeking a Technical Product Manager who would be responsible for defining, prioritizing, and delivering big data platform services that will better allow us to leverage our petabytes of financial data to produce our best-in-class bond pricing solutions. They would oversee the ongoing development of our Data Lake platforms along with partnering with other team members who are covering Market Data, Reference Data, low-latency intraday infrastructure, as well as other horizontal teams. They would work closely with engineers and other business peers to create product roadmaps, user stories, and specifications.
We'll trust you to:
- Research, analyze and organize our extensive data sets; review data models and work with engineering teams across the group to ingest and organize the data sets
- Define and communicate the product vision, strategy, and roadmap to internal and external stakeholders
- Experience operating and partnering with senior stakeholders across the pricing group and firm
- Collaborate with engineering and business teams to create and prioritize user stories, specifications, and acceptance criteria
- Manage the product backlog and ensure that the product features are aligned with the business goals and customer value
- Coordinate and oversee the development, testing, and launch of the products and ensure that they meet the quality standards and expectations
- Monitor and evaluate the product performance, user feedback, and analytics and make data-driven decisions to improve the product
- Identify and resolve any issues or risks that may affect the product delivery or user satisfaction
You'll need to have:
- 5+ years of experience as a technical product manager, product owner, or similar role working with software development team
- Bachelor's degree or equivalent experience
- Expertise in software development, data modeling, data science, and curating large data sets for training AI models
- Proven knowledge of agile methodologies, software development life cycle, and product management tools
- Demonstrated effective communication, collaboration, and leadership skills
- Ability to translate complex technical concepts into clear and concise user stories and specifications
- Ability to analyze and interpret data and metrics and make data-driven decisions
We would love to see:
- Knowledge of big data management in cloud environments like AWS, Google Cloud Platform or Azure
- Expertise in S3, Iceberg, Trino, Python, or comparable technologies
- Master's or advanced degree
- Degree in computer science, engineering, mathematics, or related field
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