Risk Architecture- Sr Associate

Risk Architecture Senior Associate

The candidate will be responsible for building Data Quality controls, gathering requirements, supporting data profiling and threshold analysis primarily for Risk Decision Engines and Third-party services within Consumer & Community Banking. The candidate will be expected to have a detailed understanding of data quality, systems and statistical techniques. The candidate is will also be responsible for data monitoring and reporting and supporting post implementation validations during releases for any changes made to decision engines to ensure accuracy of decisioning and support root cause analysis in case of production issues or defects.

A balance of initiative, leadership, influence, and matrixed management skills are important success factors for this role. The right candidate will be comfortable working independently or as part of small project teams. She/he has strong analytical skills, is highly confident and possesses strong communication skills. This is a critical role and will require both technical, statistical and analytical skills and the ability to engage with stakeholders.

Responsibilities

• Include the use of querying tools, reports, and analyses to mitigate risk resulting from changes made to our decision engines.
• Understanding of how data is created, transformed, and used within and across business processes and ability to analyze and interpret huge volumes of data from multiple sources for reconciliation purpose.
• Work with Business/Stakeholders to gather the requirements, understand the business logic and define Data Quality rules/validation checks.
• Leverage a variety of analytical, technical and statistical applications (SAS, SQL, Python) to describe, analyze, and validate trends in large complex data sets. Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions.
• Identify and resolve concerns by assisting developers, project managers, technology leads, production support, business/underwriting, and Risk Strategy Stakeholders with inquiries.
• Research production tickets/defects – including monitoring, reporting, and resolution with appropriate stakeholders, including identification of process improvement opportunities and automation.
• Build Detective Controls and data monitoring Reports to mitigate risk resulting from changes that impact Risk Decision Engines & Third party services.
• Supporting Outlier analysis and ad-hoc risk based analysis i.e. descriptive metrics, trend analysis, customer profiling, performance reporting, data monitoring, Build lineage controls, seasonality etc.
• Process Automation - Be able to lead and deliver on automation of reporting process using tools like SQL, VBA Coding, Tableau, python, pyspark and Alteryx.
• Assess potential end-user or customer impacts for Strategy changes.
• Liaise with business key stakeholders to ensure vendors have clear specifications for each project and/or initiative.
• Maintain the appropriate tracking and documentation for all consumption engagements, related processes, flows and functional documentation.
• Post-implementation validations related to strategy changes tied to Decision Engines.
• System analysis and ongoing validation of core attributes.
• Maintain appropriate Risk Control Self Assessments (RCSA’s) and business analysis/ requirements.

Qualifications

• Bachelor’s/Master’s degree in Engineering or Computer Science with 7-8 years experience in data analytics & Reporting.
• Strong Leadership, organizational skills, communication skills and the ability to work independently.
• Strong SAS, SQL and python and/or other Oracle and/or Teradata database tools.
• Strong database knowledge and analytical skills.
• Proficient with Microsoft Office suite, particularly Excel and PowerPoint.
• UNIX experience preferred.
• Capacity to work under time-sensitive business deadlines.
• Strong attention to detail & experience is statistical techniques.
• Ability to work as part of a team.
• Excellent verbal and written communication skills and Capacity to work under time-sensitive business deadlines.
• Working knowledge of BI / data visualization tools like Tableau, QlikView, Power BI, Alteryx, etc. on the Big Data ecosystem.
• Knowledge of Data Quality Management/Tools is preferred.
• Experience in AWS cloud technologies and Databricks.
• Experience with working in Agile framework and familiarity with data warehousing concepts and techniques.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Key skills/competency

• Risk Management
• Data Quality
• Data Analysis
• SAS
• SQL
• Python
• Decision Engines
• Third-party Services
• Statistical Techniques
• Process Automation