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At the HFM US Quant Awards 2020, RJO won the award for Best Independent FCM - the eighth honor bestowed by the HFM Global publications on RJO and its UK affiliate. She joined Nuveen in 2008 as Assistant Vice President, Human Resources and served in several roles of increasing responsibility during her tenure there.
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The Bloomberg Quant Platform (BQuant) is the frontier of our work – a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc.
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Should you be successful you will meet other members of the London and NY trading analyst team, members of our quant research team, as well as senior business leadership in both NY and London. Collaborate with quant research team to provide real-time feedback on model optimization.
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Role DescriptionWe are looking for Quant Traders that have developed a live trading track record and are looking to join a reputable fund to continue managing their own desk with related P&L responsibilities.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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The team also leads business & data analysis, project management, data support for new product launches, regulatory & compliance data need fulfillment, marketing & communications material creation and advisor engagement like PI. Quant services represent a new function that is being introduced to the Data Strategy team which will help to expand the teams reach and expertise in areas previously not covered.
$81,000 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Job Description: Director, Quant Data Engineering The Role The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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The Quant Engineer role is right for you if you’re a “hands-on” coder and analyst, take ownership and sound business understanding. Strong ability with standard office tools such as Excel/VBA, PowerPoint, and Word. Preferred Skills & ExperienceExperience with one or more cloud-based computing platforms: AWS, Azure, GCP.Experience in designing efficient and robust data workflows (e.g.- Apache Airflow.
$85,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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5+ years of industry experience as a fixed income quantitative analyst, and preferably 3+ years as quant in the municipal bond market. This specific quantitative analyst position is for a desk quant to support the Municipal Bond funds.
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3+ years of work experience as a financial engineer, data scientist, or quant developer. Work with quant management, technology, and risk teams to build and maintain our proprietary portfolio analytics dashboard application.
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Define and deliver technology solutions to advance investment management lifecycle processes, including portfolio analysis / construction, order management and trade execution, pre-trade compliance, performance / attribution analysis, portfolio risk analysis, cash management and quant research.
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Structuring, pricing and execution of structured deals & solutions required by corporate clients, financial institutions and private investors in collaboration with the structuring colleagues, the various trading desks, the quant team and the global sales teams.
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As a Quant Analytics Manager within the Consumer and Community Banking Operations Analytics Data Product Team, you will play a pivotal role in the design, development, and deployment of analytic assets and solutions.
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We are searching for an experienced and dynamic individual contributor to join our client's Quant Team as the VP Data Engineer. Collaborating closely with other teams such as Trading Desk Technologists who develop real-time risk management tools used directly by portfolio managers while also working alongside quant researchers analyzing large sets of market data.
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Product Manager - Quant Analytics & Data Solutions - CTO Office. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation.
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