Vice President, Modelling Data Scientist | Senior Data Scientist I

Sr Product Delivery Lead As a Sr Product Delivery Lead on the Data & Analytics Capabilities and Innovation team, you will work in a fast‑paced, agile, startup‑like environment partnering with engineering, designers, internal and external data publishers, data consumers and product managers to successfully move early‑stage prototypes into launch. You’ll accelerate the value our data marketplace delivers by achieving maximum efficiency, scale and time to insight, making our data assets easily discoverable and searchable by both analysts and machines. Job Responsibilities Collaborate with functional teams (analysts, data science, software engineering, database engineering, application management, etc.) to ensure end‑to‑end delivery of the product, identifying and managing dependencies and/or opportunities for collaboration while following core Agile principles. Work with key stakeholders in analytics, business, and technology to deliver leading‑edge innovation with the customer and the business impact in mind. Support analysts through our feedback channels to ensure their success, and use information gathered to influence our product roadmap. Ensure adoption of the product by staying hyper‑focused on the needs of our user community, evangelizing the benefits of the Data Marketplace. Employ data analytics to measure the success of the product; establish a framework and operating model to continue ensuring the quality of the product over time. Vigilantly follow Chase’s data use, privacy, legal, and compliance guidelines and contribute to the firm’s enhancement of data governance, use, and management principles and tools. Required qualifications, capabilities, and skills 5+ years combined experience in a data analytics technical product development and delivery function with strong technical skills. Bachelor’s degree in a STEM discipline relevant to analytics. Strong project management skills – the ability to manage multiple projects and prioritize work requirements in a multi‑disciplinary team setting. Outcome oriented – ability to focus on features that drive the highest ROI for marketplace users and stakeholders. Solid understanding of how data and analytics are performed and used to drive value. Knowledge of modern forms of product planning, customer discovery, product discovery, and product development processes. Demonstrated ability to solve hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well‑structured, data‑informed, written narrative. Driven, with an entrepreneurial spirit. Preferred qualifications, capabilities, and skills Ecommerce marketplace experience is a huge plus. Work Location Hybrid – 60% in‑office. Relocation assistance is not offered or supported for this role. Benefits and Compensation We offer a competitive total rewards package including base salary determined by role, experience, skill set, and location. For eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. Benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. Equal Opportunity Employer Statement We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Researcher As a researcher, you will collaborate with a distributed team of academics, engineers, and investment professionals to develop methodologies for products solving corporate‑wide client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, machine learning, and optimization. Responsibilities Work with stakeholders to translate business needs into well‑scoped technical projects. Efficiently work with large and sophisticated datasets to evaluate technical methodologies. Rapidly prototype technical solutions implementing groundbreaking tools from optimization and machine learning. Produce technical whitepapers and make clear technical presentations to senior management. Work with engineers and stakeholders to build productionalized solutions that are reliable, scalable, and operate in compliance with firm‑wide processes. Qualifications Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field), or An MS degree in a quantitative field plus 3+ years of professional experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process. Strong theoretical background and practical experience using optimization, statistical techniques, and machine learning, preferably demonstrated through academic publications or open‑source codebases. Strong familiarity with programming languages such as Python, Julia, or R. Experience with the analysis or application of data in finance, economics, sociology, or related fields is a plus. Compensation (California only) Salary range: $157,500 – $214,500. Employees are eligible for an annual discretionary bonus and benefits including health care, leave benefits, and retirement benefits. Equal Opportunity Employer Statement (BlackRock) BlackRock is proud to be an Equal Opportunity and affirmative action employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #J-18808-Ljbffr BlackRock, Inc.