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QUALIFICATIONS: Minimum education and experience required: Master's degree in Information Systems, Finance, Economics, Business, Mathematics, Quantitative Finance, or related field of study plus One (1) years of experience in the job offered or as Market Risk, Graduate Assistant, Data Scientist, or related occupation.
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Firm Type: Law Firm, Experience: 8 Years, A law firm based in New York City, NY, is seeking an experienced FinTech and Blockchain Counsel with a minimum of 8 years of legal practice. Practice Area: Corporate - Securities and Capital Markets,Fintech & Blockchain, Job Type: Attorney.
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The Market Consumer Intelligence (MCI) team provides business and market intelligence, insights, forecasting, and competitiveness developing actionable recommendations to drive customer value and meet business goals and drive business decisions across the entire LVMH Perfumes & Cosmetics portfolio (Christian Dior Perfumes, Givenchy, Guerlain, Benefit Cosmetics, Kendo Brands – Fenty, KVD, Ole Henriksen to name a few.
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Our commitment to fairness means that compensation decisions consider factors like qualification, location, internal equity, and market data. If you are passionate about emerging trends in the fintech space, including everything from artificial intelligence, quantum computing, AR/VR, and beyond – think deeptech – then we have a job for you.
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We are looking for a full-stack software engineer to join us to build at the cutting edge of the intersection of crypto and fintech. You will have the opportunity to deliver massive impact at a small and quickly growing company that is funded by some of the top investors in fintech and crypto; you would be joining at the earliest possible time.
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Experience with equity trading, flow data, algorithmic trading, execution, central risk book, and/or market microstructure. A large medium-frequency market-neutral global systematic equities team is looking for an Associate Portfolio Manager or Quantitative Researcher to directly add value to a portfolio through innovation idea generation, scientific research, effective portfolio construction, prudent risk management and efficient trade execution.
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We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Occupational Therapy, Physician Assistant Studies and Speech-Language Pathology.
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The Pricing group also subscribes to External Market data from Refinitiv and consumes it for internal distribution. This group makes use of several 3 rd party tools to distribute, store and retrieve market data – TW LLM infrastructure, Snowflake, REDIS, OneTick Database.
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Become proficient across multiple data domains, including internal positions, account performance, market data, security, issuer, ESG, alternative, and trading data. Summary:The Enterprise Data Management (EDM) organization is comprised of multiple teams that are responsible for developing, executing, and delivering data products across a new cloud platform at Neuberger Berman.
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Vendor and Partner Management: Manage relationships with technology vendors, fintech partners, and third-party service providers. Technology Infrastructure Management: Work closely with the Head of Corporate Infrastructure and Technology to ensure applications and systems operate seamlessly on the company’s IT infrastructure, including networks, servers, databases, and cloud services are scalability, reliability, and secure to handle sensitive financial data.
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Financial: knowledge of market risk, Asset liability Management (ALM) and security valuation concepts with focus on fixed income and derivatives valuation including MBS, CMBS, swaps, callable bonds and options.
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Responsible for the management of Aladdin issue resolution and new data and enhancement requests with the Blackrock Solutions team. What you will doIn PGIM Fixed Income, the Data Integrity Group is responsible for ensuring the highest quality of indicative data and analytical values for fixed income securities to ensure a first-class risk management process.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one. As a Senior Product Manager for our Core Business, you will be responsible for leading a cross functional team across UX, Engineering, QA, Product Marketing, Data Science, Customer Success, Security Risk Services, and Sales/ Underwriting to develop risk and security solutions to enable our core customers to actively manage their cyber risk posture.
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fintech market data jobs Title: portfolio management in New York, NY
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