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NTT's Data & AI practice is looking for a Sr. Digital Sales Executive - Data & AI who will be responsible for helping us expand our presence in the South-Central market based out of the Dallas, TEXAS area.
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Own the relationship with all key market data vendors, such as Bloomberg, Refinitiv, FactSet, ICE, etc. Knowledge of market data and trading applications. We are looking for a Head of Portfolio Systems to manage front to back office technology, providing 24x7 lights-on support for business counterparts in the U.S., Europe, and Asia. We are looking for a candidate with a strong background in order management, accounting systems, and data warehouse, preferably at an ETF issuer.
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Unify, harmonize, and integrate investment data, including ESG, financial, macroeconomic, instrument, entity, benchmark, market, and portfolio metrics for analytic workflows. Significant knowledge of investment data including financial, ESG, market, benchmark, and macroeconomic data, as well as holdings data and portfolio analytics; experience with investment data vendors (MSCI, Bloomberg, S&P, Sustainalytics, etc.
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Provide leading edge Category Management solutions, utilizing and understanding IRI and Nielsen syndicated scanning data, Household Panel, market demographic data, customer point-of-sale, loyalty data, and systems used to generate the information for Category reviews.
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Market data checks utilize FactSet and Morningstar Direct to identify upcoming corporate actions, verify large price changes and/or missing prices, along with reviewing the accuracy of security classifications shown in Advent APX. Managed account completeness checks involve comparing large data files to ensure managed accounts are visible in all relevant systems - or communicating those discrepancies via XTRACs.
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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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The Market Manager uses their knowledge of the travel industry, and their experience in sales negotiation, revenue management and data analysis, to increase revenue by optimizing Priceline's hotel partnerships.
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Create and maintain documentation as required (e.g. data models, data lineage, metadata, data dictionary, information supply chain) Experience - Minimum 5 years of experience with proven working experience as a data engineer or data analyst.
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Collaborate with other practice areas to develop collateral, including go-to-market offerings, marketing materials, and thought leadership based on key trends and use cases either horizontal offerings (e.g., Data Strategy offers, Data Science operating model, Data Governance, etc.
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Broad understanding of multiple technologies These include; Blue Yonder suite of products/architectures ERP (SAP) & ERP Datawarehouses (SAP BW) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Experience working with Market data vendors such as Platts, Argus, Refinitiv(LSEG), Bloomberg as well as exchanges ICE, CME etc. Adept at interpreting Market data agreements, contractual terms, data usage and distribution.
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The Pricing Service staff consists of over 130 fixed income professionals and support staff in 10 locations: New York, London, Paris, Tokyo, Singapore, Sydney, Bangalore, Mumbai, Gdynia, and Costa Rica. Our experienced evaluators apply consistent and transparent pricing methodologies, incorporating observable market data and standard market convention practices.
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Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
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ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT). Prepare and present potential technical designs and solutions for Data pipelines and DataOps in GCP and Azure cloud environments.
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The goal would be to obtain market data, market trends, competitive landscapes, distribution landscapes, estimated costing, margins and retails in a specific category targeted by the marketing team.
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