Quantitative Analytics Multiple Positions Available 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 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

The Consumer and Community Banking (CCB) division at Chase provides a wide range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. Within this division, the Analytics and Business Strategy Execution team leverages data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

As a Quantitative Analytics Manager, in CCB Collections and Recovery, you will lead end-to-end portfolio analytics leveraging data analysis to influence direction, mitigate risk, build partnerships and optimize financial outcome. You will be a strategic contributor, play a key role supporting data-driven decisions with direct impact to financial bottom line and collaborate with partners to drive operational excellence. In this capacity, you will utilize data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and industry behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

Job Responsibilities

• Demonstrate advanced data programming and robust analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
• Monitor internal and external trends (customer/industry) and understand internal business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights.
• Lead end-to-end portfolio analytics for collections and recovery channels, creating the opportunity for advanced knowledge specialization as well as significant exposure to broader department activities.
• Define and execute against a comprehensive strategy and vision for assigned channel, address issues with forward-looking solution. Effectively manage multiple priorities, optimize strategy and focus on results leading the delivery of analytical insights amidst continuous change in an agile and demanding work environment.
• Become a subject matter expert and trusted partner to influence business direction and support operational success, advising on strategies with experimentation to support ongoing process, product and channel improvement.
• Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
• Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
• Coach and manage junior/senior analysts directly or through a matrix environment (dotted-line) at opportune time.

Required Qualifications, Capabilities, and Skills

• Advanced knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques.
• Bachelor’s degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field with 6+ years of applied analytical experience, or Master’s/MBA degree with 4+ years of applied analytical experience in complex and large data environments; in a financial services industry.
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
• Strategic thinker and effective communicator defining clear strategy to support business goals, drive transformation and simplify complex techniques into actionable information to facilitate decision-making across diverse audiences.
• Build business acumen and forge strong partnerships with clients and stakeholders, actively seek input to anticipate and address needs effectively, gain trust and drive learning and process improvements to accelerate business objectives.
• Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
• Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
• Willingly learn from experience, view challenges as opportunities, motivated by business/technical challenges and open to feedback for continuous improvement. Positive culture carrier, curious and creative; collaborative, team and client focused.

Preferred Qualifications, Capabilities, and Skills

• PhD degree in a quantitative field with 2⁺years advanced analytics experience.
• Previous applied risk and/or analytical experience in a financial services related industry.
• Applied Collections and Recovery knowledge/experience in Auto, Card, Retail and/or Business Banking product.
• Previous experience managing cross-functional teams and fostering collaboration; strong leadership skills with the ability to inspire, mentor, and develop a high-performing team.

Monday through Friday, 8:00 am to 5:00 pm.

This is a Hybrid position, requiring the incumbent to commute/work on-site 3 days a week and work from home 2 days a week. Expected to become full in-office presence in Q1/Q2 2026