Customer Journey Analytics-executive Director jobs at Jpmorgan in United States, Wilmington

As a Strategic Analytics Senior Associate you will be responsible for the development and maintenance of acquisitions strategies across Consumer Card products. This includes data analysis, strategy development, financial evaluation, supporting strategy implementation. You will also be responsible for supporting key relationship with internal and external co-brand partners.

Job Responsibilities:

• Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts
• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
• Facilitate monthly and quarterly co-brand partner presentations with internal and external senior leaders to share findings and recommendations
• Acquire a strong understanding of the operational processes which will aid in understanding acquisition performance drivers
• Conduct ad hoc analytics and contribute to various projects representing Risk Management
• Lead development of strategy changes and partner with technical groups to develop requirements for changes to rules engines and automated strategies
• Assist with regulatory and internal audits or exams

Required qualifications, capabilities and skills:

• Bachelor's degree in a quantitative discipline from an accredited college/university required
• 4+ years of analytics experience preferably in financial services or consulting
• Ability to logically structure analyses using strong analytical, interpretive and problem solving skills
• Ability to translate complex analysis into concise presentations with clear recommendations and action items
• Strong project management skills and attention to detail to deliver new strategies with strong testing and tracking focus
• Excellent communication and interpersonal skills
• Strong SQL and Python coding skills, Excel, Microsoft PowerPoint and Tableau skills

As a Strategic Analytics Associate, you'll work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring.

Job Responsibilities:

• Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts
• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
• Acquire an understanding of the operational processes (e.g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers
• Conduct ad hoc analytics and contribute to various projects representing Risk Management
• Responsible for development of the new account loss forecast for consumer and small business cards
• Build deep relationships with business partners across the firm and will be expected to interact with key clients and cobrand partner leadership teams

Required Qualifications, Capabilities and Skills:

• BS degree and minimum 5 years Risk Management or other quantitative experience required
• Background in statistics, econometric, or other quantitative field required
• Strong SQL and Python coding skills, Excel, Microsoft PowerPoint, Alteryx and Tableau skills"
• Ability to query large amounts of data and transform the raw data into actionable management information
• Familiarity with risk analytic techniques
• Strong analytical and problem-solving abilities
• Strong written and oral communication skills
• Experience delivering recommendations to management

Preferred Qualifications, Capabilities and Skills:

• MS degree and 3 years Risk Management or other quantitative experience preferred
• Advanced understanding of SAS, SAS Enterprise Miner, or other decision tree software

Bring your expertise to JP Morgan Chase.

As a Wholesale Strategic Analytics Senior Associate in the Business Banking team, you will drive risk criteria and strategic analytics for Wholesale credit products, playing a key role in acquisition and growth. This role requires dedicated attention to refining risk criteria, monitoring credit performance, developing innovative solutions, and ensuring compliance with legal and fair lending standards. You will collaborate with the risk team to generate thoughtful analytics and recommendations to the business regarding strategy and criteria development, implementation, operational controls, and performance monitoring.

Job Responsibilities:

• Use your analytical skills and knowledge of lending business to assess historical trends, identify patterns, and independently deliver insights, ideas and key findings
• Articulate risk practices to non-risk audiences through frequent interactions with Finance, Product, and Marketing, and assess the cross-functional impact on risk.
• Act as an owner-operator, the role requires end-to-end accountability not just for ideas but for outcomes, including execution, post-launch-refinement and impact assessment
• Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts and the existing portfolio of accounts
• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
• Acquire an understanding of the operational processes (credit analysis, portfolio management, collections) which will aid in understanding performance drivers
• Conduct ad hoc analytics and contribute to various projects representing Risk Management
  

Required Qualifications, Capabilities and Skills:

• BS degree and minimum of 3 years Risk Management or other quantitative experience
• Background in statistics, econometric, or other quantitative field
• Advanced understanding of SAS and SQL
• Ability to query data and transform the raw data into usable management information
• Familiarity with risk analytic techniques
• Strong analytical and problem-solving abilities
• Strong written and oral communication skills

• Experience delivering recommendations to management
  

As an Anaplan Model Builder within the Data, Analytics and Transformation team, you will be tasked with implementing the ICB Finance integrated planning roadmap using Anaplan. You will collaborate closely with finance and business management teams, finance transformation analysts, data engineers, and the firm-wide Anaplan Center of Excellence to develop the target state planning ecosystem for ICB Finance.

SUMMERY OF ROLE/JOB DESCRIPTION

Following the launch of our digital bank, Chase UK, we are embarking on a finance data transformation project to support the International Consumer Business (ICB). This will culminate in the development of a finance data platform to assist the Finance function in the execution of its business critical control responsibilities as well as supporting business decision making with modern finance analytics and insights. The project will deliver end to end data capabilities for the Finance function and other relevant stakeholders covering data modelling, reporting, dashboarding and the development of any bespoke tooling required.

In this role, your primary focus will be on implementing the ICB Finance integrated planning roadmap in Anaplan, which involves designing and developing planning models and ensuring seamless integration with other ICB Finance Transformation solutions and firm-wide tools. Collaborating closely with finance and business management teams, finance transformation analysts, data engineers, and the firm-wide Anaplan Center of Excellence, you will contribute to building the target state planning ecosystem for ICB Finance. Additionally, you will have the opportunity to utilize Google Looker and other modern data tools to deliver both tactical and strategic solutions to finance data challenges.

Job responsibilities:

• Analyze and understand existing forecasting processes and methodologies, translating them into Anaplan solutions that drive consistency and accuracy in generating financial projections, ensuring an informed decision-making process and organizational agility.
• Build and maintain Anaplan models as a part of the ICB Finance integrated planning roadmap, including requirements gathering, models design and documentation, development, end-user testing, and release management.
• Collaborate with the firm-wide Anaplan Center of Excellence and data engineers on the implementation of a fully integrated planning ecosystem, including seamless integration between Anaplan models, ICB data sources, and firm-wide solutions.
• Work closely with finance stakeholders to proactively identify and recommend enhancement opportunities in planning processes and forecasting methodologies.
• Collaborate in defining the Anaplan operating model for the ICB Finance function, including establishing roles and responsibilities, models governance, and support from firm-wide transformation teams.
• Ensure adherence to Anaplan best practices, intelligent solutions governance, and internal controls at all times

Required qualifications:

• Expertise in financial planning and/or modeling, including budgeting and stress testing methodologies
• Expertise in data analytics and visualization, with a strong understanding of UX/UI and design best practices
• Commercial acumen and expertise in retail banking products including current accounts, credit cards, insurance and mortgages
• Passionate about innovation, problem solving with focus on user-centric design and a keen eye for visual aesthetics
• Ability to work in collaborative, cross-functional agile teams as well as independently
• Skilled in influencing, educating and sharing technical and design knowledge with others
• Excellent communication skills, both written and verbal
• Strong self-starter and highly self-motivated, driving projects forward
• Experience working on large scale digital transformation projects, ideally in Finance / FinTech

Preferred qualifications:

• An Anaplan Model Builder certificate (or higher) with a minimum of 3 years of relevant Anaplan experience is preferred.
• Experience with any business intelligence, visualization, or automation tools (e.g., Alteryx, Looker) is highly desirable.
• A bachelor’s degree or equivalent in data analytics or computer science related fields is preferred. Accounting or finance related fields will also be considered.

J.P. Morgan offers an exceptional benefits program and a highly competitive compensation package.

As a Vice President in the Credit Card Loss Forecasting within the Consumer & Community Banking (CCB) Risk Management group, you will be responsible for credit forecasting for the $220B credit card portfolio. The role encompasses important aspects of loss forecasting like, CECL, Budget, and Model analytics. This is an exciting opportunity to work in a high-impact team as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem-solving, be self-motivated, confident, and ready to work in a fast-paced, energetic environment.

Job Responsibilities:

• Lead the quarterly ACL process for the Card portfolio using CECL approach
• Provide attribution analysis for quarterly changes as well as impact analysis of latest Macroeconomic forecast
• Identify emerging risks and be creative in sizing the potential impact on the portfolio using alternate data sources
• Collaborate with the central loss forecasting team to manage process timelines and provide necessary information.
• Work with Finance, Modeling, and Risk Strategy teams to understand changes in the portfolio, model, or strategies and apply adjustments as needed
• Partner with the Risk Modeling team to ensure the model functions as desired and provide regular inputs for improvement
• Create and present quarterly ACL to senior management with a clear storyline and data support.
• Support annual stress testing (CCAR), the Risk Appetite framework, and strategy integrations
• Enhance consistency and efficiency across existing processes and reporting to meet the changing needs of the business
• Demonstrate initiative and the ability to work on multiple projects with limited guidance, while mentoring and coaching junior analysts to develop their risk management skills and finance knowledge.
• Confidently defend the loss forecasting numbers in front of senior management, the Model Review Group, and internal/external auditors/regulators.

Required Qualifications, Capabilities and Skills:

• Master’s/Bachelor’s degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Engineering) from an accredited college/university required.
• 5+ years of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, and/or Consulting.
• 7+ years of related analytical experience.
• Strong knowledge of Python, SAS, SQL, and MS Office required.
• Strong P&L knowledge and understanding of drivers of profitability
• Strong analytical, interpretive, and problem-solving skills with the ability to interpret large data sets and their impact in both operational and financial areas.
• Excellent oral and written communication and presentation skills.

Preferred Qualifications, Capabilities and Skills:

• Advanced degree is preferred.

As a Quant analytics senior associate within the Consumer and Community Banking Data & Analytics organization, you will support advanced analytics projects across various functions, channels, and products. You will play a crucial role in generating actionable insights to drive portfolio growth, inform product design and marketing tactics and enhance the customer experience. Additionally, you will consult with internal business partners, develop valuable business analyses, and promote strategic insights throughout the organization.

Job Responsibilities:

• Collaborate with team of analysts responsible for analyzing, measuring, and optimizing our existing customer marketing investments and tactics across multiple channels
• Leverage our data to scale our ability to optimize the entire customer lifecycle, with a focus on spend engagement, deepening and retention for co-brand partners
• Understand and master a broad range of analytics capabilities (Test design, Modeling, NLP analysis, etc.) and how to best apply them to business problems
• Drive excellent practices and technical standards to support the development KPIs and goals for the card business, developing information suites (Dashboards, reports, visualizations) fit for C-level consumption
• Present findings and recommendations for action to senior leaders of the company, and support the individual contributors on your team to do the same for their work
• Partner closely with co-brand internal/external team to drive understanding of the data and its use in their business area and across line of business

Required qualifications, capabilities, and skills:

• Bachelors in Science in a quantitative discipline - Statistics, Math, Finance, Economics, Operations Research, etc.
• 2+ years of analytical and industry experience in credit card, T&E retail, direct marketing, financial or other consumer orientated businesses, that capture and leverage a large transactional database
• 2+ years Knowledge of SQL and SAS required.
• Exceptional analytical, technical, and statistical skill. Ability to synthesize/analyze diverse information, develop and recommend strategies, and make decisions.
• Excellent written and oral communication skills; possessing the ability to convey complex information - simply and clearly - to senior business leaders.
• Strong financial and reporting acumen with specific understanding of key drivers of credit card profit and loss.
• Ability to work in a fast-paced, dynamic environment.
• Ability to manage multiple projects and prioritize work requirements across a multi-disciplinary team setting.

Preferred qualifications, capabilities, and skills

• Masters in Science in quantitative discipline or MBA preferred.
• Considerable background in consumer segmentation, customer profiling, and data mining