JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
Our Firmwide Risk function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others.
The Risk Core Model Documentation specialist supports cross product modeling efforts with a concentration in Fraud modeling based in Wilmington, DE.
This position will be a key part of a team to create comprehensive documentation for new and existing risk models across CCB businesses.
CCB Risk Modeling is a centralized team working across the CCB businesses to develop and improve risk models. The modeling teams develop a range of models including: application, origination, pricing, customer strategy (balance transfer, line assignment), collections, loss forecasting and stress testing, capital, fraud, and anti‑money laundering models.
The candidate should be comfortable working independently or as part of small project teams working with model developers to write professional high-quality documentation. The position represents an excellent opportunity for candidates to:
Develop an understanding of a variety of risk management and other consumer banking functions
Be exposed to the development of a range of models used in risk management
Hone technical writing, analytical, communication and leadership skills in an environment of active mentorship and coaching
The tech writer will also help push forward and take responsibility for an initiative to automate documentation with their programming and statistical background.
Broad conceptual understanding of data preparation and statistical modeling methods. Experience with the model development and model selection is a plus.
Ability to synthesize technical information from modeling team into layman’s terms and explanations in formats including diagrammatic overviews, summary of analytic methods
Have equal comfort discussing technical details with senior modelers or presenting summary results to senior executives
Ability to work independently, define target dates, develop work plans and schedule / meet with a diverse range of counterparts where much of the work may be remotely with individuals in other geographic locations
Critical thinking skills regarding analytic material in order to spot gaps in analytic logic, methods or results likely to be flagged by senior executives/regulators, and recommend additional analytics to remediate those gaps to the modeling team
Ability to structure and outline complex technical documents
Careful attention to detail, with keen ability to quality check own work and the work of others
Excellent command of Microsoft products and able to produce supporting materials such as charts, diagrams, flow charts, etc.
Create high-level summaries and narrative documents suitable for presentations to senior executives/regulators
Excellent communication skills in writing and speaking at the fully fluent / native speaker level of proficiency
Education in a field providing relevant quantitative background (e.g., finance, economics, statistics, quantitative social/physical sciences or engineering)
Preferred but not required
Experience or familiarity with regulatory requirements such as Comprehensive Capital Analysis and Review (CCAR) and Dodd Frank Act Stress Testing (DFAST)
Demonstrated experience in technical writing or journalism
Knowledge of SAS, Python, R, or another programming language