Senior iOS Engineer - Mobile Professional

Description & Requirements Macro and Commodity Research Data Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and   quantamental   investment research. The portfolio brings together company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows. We are   establishing   a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager Team Lead to define its strategy, build its product   portfolio   and lead its development. This role requires a strong understanding of macroeconomic and commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio   decisions   and risk views. The successful candidate will also understand how AI, agentic research tools and modern data infrastructure are changing the way clients discover,   evaluate   and consume financial data. You will   be responsible for   shaping a differentiated portfolio spanning areas such as economic releases and surveys, government auctions, commodity supply, demand and inventories, physical flows, positioning, weather,   outages   and other market-relevant datasets. You will   determine   where Bloomberg can create distinctive client value, how the products should work together, and how the business can convert that value into sustainable commercial growth. The Research Data business is an important part of Bloomberg Enterprise Data’s growth strategy. Our   objective   is to solve complex research and data-management problems for quantitative,   systematic   and fundamental investment teams, while making Bloomberg data easier to discover, evaluate,   integrate   and use across client workflows.   We will trust you to Define the strategy, positioning and multi-year roadmap for the Macro and Commodity Research Data vertical, translating market developments and client needs into clear product priorities. Lead and develop a team of product managers and subject-matter experts,  establishing  clear responsibilities, decision processes,  objectives  and measures of success. Build deep domain  expertise  across systematic macro,  commodities  and multi-asset research, including how clients combine economic, physical-market, pricing,  positioning  and alternative datasets to generate signals and manage risk. Develop a strong understanding of the commercial opportunity for the vertical, including addressable markets, client segments, competitive positioning, packaging,  pricing  and monetisation models. Own the business case for product investment by assessing client value, revenue potential, development cost, strategic  differentiation  and opportunity cost. Engage senior clients, researchers, portfolio managers, data scientists and data engineering teams to  identify  unmet needs, test product  concepts  and  validate  priorities. Translate client workflows into well-defined data products, including requirements for point-in-time integrity, historical depth, metadata, identifiers, lineage, accessibility,  interoperability  and production use. Set measurable product and commercial outcomes,  monitor  adoption and revenue performance, and adjust the roadmap based on evidence rather than activity alone. Manage product specification, prioritisation and delivery across data, engineering, sales, implementation,  support  and other Bloomberg teams. Ensure that individual products form a coherent portfolio, with common design standards and clear connections across macro, commodities, pricing, reference  data  and related Bloomberg content. Represent the vertical internally and externally, helping sales teams explain its value and building credibility with sophisticated quantitative and institutional clients. Stay current on developments in financial markets, systematic investment research, data science, AI-enabled  workflows  and the competitive data landscape. You will need to have Significant experience  in product management, investment research, quantitative research, financial  data  or a related field, with evidence of increasing commercial and leadership responsibility. Strong knowledge of macroeconomic or commodity markets, preferably including experience with several of the following: economic data, rates, foreign exchange, futures, energy, metals, agriculture, physical commodity  markets  or alternative data. A practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development,  backtesting , portfolio construction and production use. Experience defining product strategy, evaluating market  opportunities  and making commercial trade-offs across pricing, packaging,  investment  and portfolio priorities. Evidence of building,  managing  or developing high-performing teams. Strong client-facing skills and the ability to convert complex or ambiguous client problems into clear product and business decisions. The ability to influence across a matrixed organisation and coordinate delivery among product, data, engineering, sales,  implementation  and support teams. Strong analytical and problem-solving skills, including the ability to use evidence and commercial reasoning to secure investment and management support. Familiarity with modern data platforms, APIs, cloud  delivery  and the ways clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science,  business  or a related discipline.   Python   proficiency   is valuable but is not the principal requirement for this leadership role. The candidate should be technically credible, able to interrogate data and comfortable working with engineers, data   scientists   and quantitative clients.   We use years of experience as a guide and will consider candidates who can   demonstrate   the leadership, domain   expertise , product   judgement   and commercial capabilities   required   for the role. Salary Range = 235,000 - 350,000 USD Annual + 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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. Apply Now Back to Job Search Apply Now Save this Job