Top Senior Level Fintech Data & Analytics Jobs
Responsible for supporting core banking system implementation, coordinating project implementations, collecting and communicating requirements, managing risk and issues, driving process improvements, reviewing business and financial requirements, and tracking performance indicators.
Market Data Business Analyst at Enfusion, responsible for capturing and documenting client workflows related to market data usage, eliciting requirements, prioritizing projects, tracking market data vendor notifications, and analyzing technological developments to enhance Enfusion's services.
Lead teams in driving strategic direction through collaboration with Applied Science, Engineering, and Product leaders. Partner with cross-functional team to deliver AI-powered products, build AI foundation models, engage in high impact applied research, and translate complex work into tangible business goals.
Senior Data Scientist role in Capital One's AI Training Team, leading disruption with computing and machine learning technologies. Partner with cross-functional teams to deliver AI products, leverage Python, PyTorch, AWS, and more for data analysis, and translate complex work into business goals. Ideal candidate is innovative, technical, statistically-minded, and a data guru. Requires Bachelor's/Master's/PhD plus 9 years of experience, proficiency in open-source programming languages, machine learning, and relational databases.
Senior Data Scientist role at Capital One's AI Training Team, working on AI-powered products using Python, PyTorch, AWS, and more to analyze vast amounts of data. Requires expertise in data analytics, machine learning, and relational databases.
Featured Jobs
Senior Director of Software Engineering at JPMorgan Chase within the Corporate & Investment Bank Technology team, leading multiple technical areas and driving adoption of technical methods within various teams.
Seeking a skilled Data Domain Architect to transform raw data into actionable insights using Databricks and ThoughtSpot. Responsibilities include designing data solutions, collaborating with cross-functional teams, and maintaining data mart architecture. Requires 7 years of experience in data architecture and a Bachelor's degree in Computer Science or related discipline.
As a Data Management Lead, VP within the CAO Data Governance team, responsible for data strategy, data governance, and data risk management. Partner with senior stakeholders, lead data workstreams, oversee processes and procedures, modernize data platform, develop reporting metrics, and represent the CAO in firmwide forums.
As a Senior Data Analyst in Product Lifecycle Marketing, you will leverage data and analytics to optimize marketing efforts, drive long-term growth, and measure the impact of marketing activities. You will partner with marketing leadership, lead measurement and evaluation, and develop marketing predictive models. Ideal candidates have 5+ years of experience in Marketing Analytics, cross-functional leadership skills, and expertise in key marketing channels and analytics.
As a Marketing Data Analyst, you will leverage data and analytics to optimize marketing efforts and drive long-term growth. You will measure and evaluate marketing activities, provide insights and recommendations, and collaborate with cross-functional teams. The base salary for this role starts at $148,100 and may vary based on location, skills, qualifications, and experience.
Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements for business objectives and client needs. Research, develop new analytical approaches, test new statistical analysis methods, and present results clearly. Collaborate with team members to develop technical/business approaches and tools.
The Lead Business Analyst will drive the planning and execution for the development of solutions for clients and colleagues. Responsibilities include day-to-day execution of product routines, planning, reporting, transformation, client/colleague experience needs, process re-engineering, planning/project management, business/data analysis, creation of user stories, testing, and implementation activities. Must be highly independent and responsible for coaching Business Analysts and Associate Business Analysts.
Seeking a Sr. Associate, Data Scientist to enhance fraud detection tools and identity verification platform, collaborating with multidisciplinary team to develop innovative machine learning solutions using Python and other tools, with a focus on reducing business risks and enhancing customer experiences.
Manage Information Security & Risk Management processes, educate on cybersecurity awareness, analyze policy impacts, develop and update policies, create dynamic dashboards, and more
Develop scalable reporting and analytics solutions, analyze performance trends, build cross-functional partnerships, evangelize data use, present project results.
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