Securities Services - Analytics, AI & Data Strategy - Product Manager - Associate
LONDON, LONDON, United Kingdom
JPMorgan Chase & Co.
As Product Manager in the Analytics, AI & Data Strategy team, you will provide data-driven business intelligence to all major stakeholder groups within Securities Services. You will work with stakeholders across the Securities Services franchise to build strategic analytics, AI and data capabilities which will enable the organisation to optimise revenue and develop a strong risk mitigation framework.
Job Summary:
Within the Securities Services Analytics, AI & Data Strategy team, you will be part of a team responsible for the delivery of business-critical data and analytics deliveries relating to themes such as liquidity exposure, deposit management, risk management & revenue maximization.
Job Responsibilities:
- Working with the broader Analytics, AI and Data Strategy team to execute Securities Services’ data, analytics and AI deliveries across all major products and stakeholder groups
- Partner closely with groups from AI/ML research, Data Platform, Product Management, Product Development, Quantitative Research, Sales, Business Managers, Operations and Technology teams to scope and refine business requirements relating to analytics, AI and data programs
- Providing regular status updates, monitor project performance and manage stakeholder relationships in order to support the full program delivery lifecycle in Technology sprints
- Conceptualize and design effective presentations to highlight the business benefits of analytics, AI and data initiatives with a visually compelling message
- Acting as a secondary/supporting escalation point for product-related questions to ensure suitable resolution and management of risks such as data bottlenecks
- Responsibility for the tracking of Securities Services’ data modernization and AI initiatives, including chairing bi-weekly governance calls with key stakeholder groups
- Recording analytics demos and creating user guides to facilitate training and adoption of analytics and AI tools within Securities Services
- Serving as the primary program governance leader to manage stakeholder meetings, ensure that the work is moving forward in a timely manner and deliveries are meeting the agreed execution roadmaps
- Working with the respective business representatives and other stakeholder groups to document business requirements that need investment funding
- Coordinating with Product Management, Product Development, Sales, Quantitative Research, Finance, Business Management and Technology to deliver all funded milestones, including tracking all delivery milestones for data publication, ingestion & consumption
- Managing and communicating resource demand vs. current capacity, including the prioritisation of new asks against the existing book of work using project management tools (e.g. JIRA, confluence, Microsoft Teams)
Required qualifications, capabilities and skills:
- A successful candidate will have worked in financial services (e.g. in Securities Services, Payments, Treasury, Fintech, or any Corporate/Investment Banking function) with a data/analytics background for a minimum of 3 years
- The candidate should have a background in a Product Management, Project Governance, Product Development or a Technology role and have an Undergraduate degree
- Experience managing projects and using project management tools (e.g. JIRA, confluence, Microsoft Teams), including experience with agile methodology (e.g. running scrums, sprint planning, etc.)
- Experience working with technology and/or data scientists to build analytics and AI products is a must-have
- Curious, patient, hardworking, detail-oriented, and motivated to solve complex analytical problems
- Ability to work both independently and in highly collaborative team environments
- Excellent written and oral communication and presentation skills, with experience communicating effectively with diverse audiences – across business and technology partners, including senior leadership
- Strong influencing skills, with an ability to articulate complex ideas and analytical deliveries in a succinct way, including being comfortable recording demos and presenting to large audiences
- Ability to manage multiple, urgent priorities with short deadlines
- Excellent time management skills, with the ability to multi-task and keep numerous projects on track
Preferred qualifications, capabilities and skills:
- Comprehensive IT knowledge - full suite of Microsoft Office products and ideally Alteryx and/or Tableau knowledge to support data mining and data modelling
- The undergraduate degree should have some components relating to a quantitative field (e.g. Computer Science, Data Analytics, Economics, Statistics modules etc.)
- Basic knowledge of AI modelling techniques that can be leveraged within the banking sector (e.g. supervised and unsupervised Machine Learning models). This basic understanding of AI/ML concepts can be achieved either through work experience or university coursework
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Business Intelligence Computer Science Confluence Data Analytics Data Mining Data strategy Economics Finance FinTech Jira Machine Learning ML models Research Statistics Tableau
Perks/benefits: Career development Health care
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs