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bloomberglp
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EncryptedSite is Encrypted
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CountryHosted in United States
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CityAshburn, Virginia
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Latitude\Longitude39.0481 / -77.4728 Google Map
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Traffic rank#83,229 Site Rank
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Site age24 yrs old
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Site Owner informationWhois info
Website is Safe
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Traffic rank
#83,229
#83,229
Site age
24 yrs
24 yrs
Location
United States
United States
Popular Questions for bloomberglp
Newest job postings for bloomberglp
via Glassdoor
posted_at: 5 days agoschedule_type: Full-timesalary: 140K–295K a year
The Bloomberg Front Office Derivatives team is responsible for building a leading system for Derivatives and Structured Products across all asset classes. The system provides a comprehensive suite of data, pricing and risk analytics to Bloomberg clients across Buy and Sell Sides whether they are using the Bloomberg Terminal, Enterprise Data or Enterprise Product solutions. The team is responsible... for derivatives data for all asset classes and delivers
The Bloomberg Front Office Derivatives team is responsible for building a leading system for Derivatives and Structured Products across all asset classes. The system provides a comprehensive suite of data, pricing and risk analytics to Bloomberg clients across Buy and Sell Sides whether they are using the Bloomberg Terminal, Enterprise Data or Enterprise Product solutions. The team is responsible... for derivatives data for all asset classes and delivers market data solutions internally to Bloomberg Enterprise Data, and products externally to Bloomberg clients across the globe.
These solutions leverage investment in many areas including:
• Interest rates and CDS Curves and volatility surfaces/cubes
• Application of calibration and analytics models to Derivatives Data
• Data Aggregation algorithms using Big Data and Machine Learning Techniques
• Ensure Data Quality and help develop QC monitoring tools
• Derivatives Market Data snapshots
• Derivatives Data APIs.
We are looking for an experienced Product Manager who will be an integral part of our collaborative team of product managers, quants, data analysts and software engineers. The Product Manager will use their market expertise to drive the business while ensuring that we continue to build forward thinking cutting edge technology.
As the Product Manager, we'll expect you to:
• Understand the market and the industry at a macro and micro level and use it to shape the direction of the product
• Be viewed as a thought leader by clients and the industry and maintain specialized knowledge while bringing value year over year
• Be commercially aware and think in terms of commercial opportunities and developing capabilities to ensure the product stays relevant and fit for purpose
• Leverage deep domain expertise to determine product road map and manage the product end to end across Product, Engineering, Sales, etc.
• Support all businesses and clients data requirements working closely with various teams such as Engineering, Quants, QA and Data
• Work closely with Data teams to improve existing contributions and add new contents
• Work closely with Quant and Financial Engineering groups to improve methodologies and react to market changes
• Work closely with Engineering to better utilize existing datasets and expand our forward-looking cutting-edge component-based technology
• Document clear functional specifications for each phase of product development and take part of our Agile collaboration framework
• Work collaboratively with other Product Managers to ensure a smooth integration across functions within Pricing and Risk and across the Terminal, Enterprise Products and Enterprise Data.
You'll need to have:
• 10+ years of experience working in a derivatives front office market role including 3+ years working as a Product Manager within the financial technology space*
• Demonstrated understanding of the financial markets and asset classes
• Proven experience in overseeing product development from a business level
• Ability to work effectively with programmers to build and deliver a world-class product to customers.
We'd love to see:
• Understanding of quantitative models and techniques
• Highly motivated consensus builder who collaborates well in a team
• Ability to develop strategy around a wide range of projects in a fast-paced and dynamic environment
• Technical understanding of Python and data modeling tools as well as experience with artificial intelligence and machine learning.
• Please note we use years of experience as a guide, but we will certainly consider applications from all candidates who are able to demonstrate the skills vital for the role.
If this sounds like you, please apply!
We'll get in touch with you to let you know next steps. In the meantime, check out https://www.bloomberg.com/company/what-we-do/
Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate based on age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.
Salary Range: 140,000 - 295,000 USD Annually + 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 Show more details...
These solutions leverage investment in many areas including:
• Interest rates and CDS Curves and volatility surfaces/cubes
• Application of calibration and analytics models to Derivatives Data
• Data Aggregation algorithms using Big Data and Machine Learning Techniques
• Ensure Data Quality and help develop QC monitoring tools
• Derivatives Market Data snapshots
• Derivatives Data APIs.
We are looking for an experienced Product Manager who will be an integral part of our collaborative team of product managers, quants, data analysts and software engineers. The Product Manager will use their market expertise to drive the business while ensuring that we continue to build forward thinking cutting edge technology.
As the Product Manager, we'll expect you to:
• Understand the market and the industry at a macro and micro level and use it to shape the direction of the product
• Be viewed as a thought leader by clients and the industry and maintain specialized knowledge while bringing value year over year
• Be commercially aware and think in terms of commercial opportunities and developing capabilities to ensure the product stays relevant and fit for purpose
• Leverage deep domain expertise to determine product road map and manage the product end to end across Product, Engineering, Sales, etc.
• Support all businesses and clients data requirements working closely with various teams such as Engineering, Quants, QA and Data
• Work closely with Data teams to improve existing contributions and add new contents
• Work closely with Quant and Financial Engineering groups to improve methodologies and react to market changes
• Work closely with Engineering to better utilize existing datasets and expand our forward-looking cutting-edge component-based technology
• Document clear functional specifications for each phase of product development and take part of our Agile collaboration framework
• Work collaboratively with other Product Managers to ensure a smooth integration across functions within Pricing and Risk and across the Terminal, Enterprise Products and Enterprise Data.
You'll need to have:
• 10+ years of experience working in a derivatives front office market role including 3+ years working as a Product Manager within the financial technology space*
• Demonstrated understanding of the financial markets and asset classes
• Proven experience in overseeing product development from a business level
• Ability to work effectively with programmers to build and deliver a world-class product to customers.
We'd love to see:
• Understanding of quantitative models and techniques
• Highly motivated consensus builder who collaborates well in a team
• Ability to develop strategy around a wide range of projects in a fast-paced and dynamic environment
• Technical understanding of Python and data modeling tools as well as experience with artificial intelligence and machine learning.
• Please note we use years of experience as a guide, but we will certainly consider applications from all candidates who are able to demonstrate the skills vital for the role.
If this sounds like you, please apply!
We'll get in touch with you to let you know next steps. In the meantime, check out https://www.bloomberg.com/company/what-we-do/
Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate based on age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.
Salary Range: 140,000 - 295,000 USD Annually + 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 Show more details...
via The Muse
posted_at: 4 days agoschedule_type: Full-time
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we... also help network with the communities around us,
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we... also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.
What's the role?
As a Data Analytics Professional on the Enterprise Risk Management team, you will play a key role in enabling the Chief Risk Office and departments across Bloomberg to use data and analytics to extract risk insights as well as measure and monitor risk they are exposed to.
We'll trust you to:
• Lead the design, development, and maintenance of data models and analysis that provide insights into key risk
• Partner with teams across the firm to identify and explore data sources that support risk and process analysis
• Produce reports and dashboards to communicate risk insights and enables management to make data driven decisions on risk related matters
• Clarify and define use cases and data requirements
• Develop, maintain, and optimize reports and business intelligence dashboards
• Lead multiple data projects simultaneously, ensuring projects stay within budget and on track.
• Train staff in analytical processes to facilitate their development and productivity
• Perform data cleansing, exploratory analysis, and feature engineering to support data science and machine learning modeling projects
• Collaborate with Engineering teams to leverage advanced technology tools & techniques to design predictive analytical models
• Develop innovative methods to enhance our systems and to make our data-related processes more efficient, accurate and timely You need to have:
• A minimum of 8 years of relevant experience
• Strong quantitative mind with structured approach to problem solving
• A solid understanding of Big Data and Data Science concepts, processes, and tools, and their application to solving business problems
• Experience with data visualization software tools and shown ability to learn and master new tools quickly
• Ability to work with and explain technical concepts to non-technical partners
• Educational background in Advanced mathematics, statistics, or economics
• Strong understanding of information technology
• Ability to collaborate with and ask the right questions of both business and Engineering Subject Matter Experts
• Excellent oral and written communication skills
• Ingenuity and creativity in the application of technology
• High energy level, passion, flexibility and dedicationDoes this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at: https://www.bloomberg.com/company/what-we-do/
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for Show more details...
What's the role?
As a Data Analytics Professional on the Enterprise Risk Management team, you will play a key role in enabling the Chief Risk Office and departments across Bloomberg to use data and analytics to extract risk insights as well as measure and monitor risk they are exposed to.
We'll trust you to:
• Lead the design, development, and maintenance of data models and analysis that provide insights into key risk
• Partner with teams across the firm to identify and explore data sources that support risk and process analysis
• Produce reports and dashboards to communicate risk insights and enables management to make data driven decisions on risk related matters
• Clarify and define use cases and data requirements
• Develop, maintain, and optimize reports and business intelligence dashboards
• Lead multiple data projects simultaneously, ensuring projects stay within budget and on track.
• Train staff in analytical processes to facilitate their development and productivity
• Perform data cleansing, exploratory analysis, and feature engineering to support data science and machine learning modeling projects
• Collaborate with Engineering teams to leverage advanced technology tools & techniques to design predictive analytical models
• Develop innovative methods to enhance our systems and to make our data-related processes more efficient, accurate and timely You need to have:
• A minimum of 8 years of relevant experience
• Strong quantitative mind with structured approach to problem solving
• A solid understanding of Big Data and Data Science concepts, processes, and tools, and their application to solving business problems
• Experience with data visualization software tools and shown ability to learn and master new tools quickly
• Ability to work with and explain technical concepts to non-technical partners
• Educational background in Advanced mathematics, statistics, or economics
• Strong understanding of information technology
• Ability to collaborate with and ask the right questions of both business and Engineering Subject Matter Experts
• Excellent oral and written communication skills
• Ingenuity and creativity in the application of technology
• High energy level, passion, flexibility and dedicationDoes this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at: https://www.bloomberg.com/company/what-we-do/
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for Show more details...
via Salary.com
posted_at: 5 days agoschedule_type: Full-time
Product Manager @ Bloomberg LP (New York, NY) F/T: Drve & excute prdct dvlpmnt for crss-asset prdcts to enhnce our automtion & dcisns spprt capblties spcficlly in the lsted markts. Bchlr’s dgree or the frgn eqvlnt in Cmptr Scnce, Engnrng, Oprtns Rsrch, Fnance, or rltd & 2 yrs of exp in the job offrd, Prdct Anlyst, Tchncl Spclst, or rltd. Mst hv 1 yr of exp in ech of the fllwng sklls: Data... market, and statistical analysis; Python; SQL; Scripting;
Product Manager @ Bloomberg LP (New York, NY) F/T: Drve & excute prdct dvlpmnt for crss-asset prdcts to enhnce our automtion & dcisns spprt capblties spcficlly in the lsted markts. Bchlr’s dgree or the frgn eqvlnt in Cmptr Scnce, Engnrng, Oprtns Rsrch, Fnance, or rltd & 2 yrs of exp in the job offrd, Prdct Anlyst, Tchncl Spclst, or rltd. Mst hv 1 yr of exp in ech of the fllwng sklls: Data... market, and statistical analysis; Python; SQL; Scripting; Excel; Data structures; and Systematic trading strategies. Rate of pay: $247,000 - $326,000/ yr. Send resume to Bloomberg HR @ recruit2@bloomberg.net. Indicate (B60-2023). EOE
Show more details...
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