Compliance Officer jobs in United States, Delaware, Wilmington

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies

As a Fair Lending Quant Modeling Lead within the Risk Management and Compliance organization, you are at the center of keeping JPMorgan Chase strong and resilient. You will perform statistical modeling and analyses to detect & mitigate bias in line-of-business models. Your role will involve participating in bias testing-related research projects to support and enhance the bank’s fair lending compliance program.

In this position, you will apply your quantitative skills to help line-of-business developers build fair statistical models that comply with Fair Lending Laws and regulations, including AI/ML models.

Job Responsibilities

• Conduct statistical analyses and bias testing to review business models, including both traditional and machine learning / artificial intelligence models (ML/AI), for fair lending compliance. This role offers a unique opportunity to gain exposure to a wide variety of models across different lines of business, enhancing your expertise and broadening your understanding of diverse modeling approaches.
• Engage with extensive model documentation to thoroughly understand the models you review from a fair lending perspective, allowing you to develop a comprehensive understanding of complex models and their applications.
• Build data-promoting algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models.
• Prepare presentations & reports to explain statistical results in both non-technical and technical formats to various stakeholders such as senior management, Legal, Model developers, Model Governance etc.
• Perform research & development to keep the fair lending compliance program aligned with industry and regulatory standards.
• Create model documentation; work with Control, Audit and Model Governance teams to ensure adequacy of processes, statistical models and model reviews.
• Support the team in maintaining relevant policies & procedures and representing fair lending in regulatory exams, audits and other areas related to internal governance.
• Perform other related duties as assigned.

Required qualifications, capabilities, and skills

• Bachelor degree required in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) and 8+ years of relevant work experience or Graduate degree in a quantitative field, and 6+ years of relevant work experience
• Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
• Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark Git/Bitbucket) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive)
• Experience in developing, implementing and evaluating linear/logistic regression and machine learning / artificial intelligence models
• Experience working or consulting for a bank, a consumer financial product company such as a non-depository mortgage lender or fintech, a banking regulator (
  e.g.
  , OCC, CFPB) or other similar government regulatory or enforcement agencies with knowledge of how consumer financial products such as mortgage and auto loans are underwritten and priced
• Strong project management, critical thinking and analytical skills; ability to work in a fast-paced environment and manage multiple projects towards completion with focus on quality
• Excellent communication skills both verbal and written; ability to communicate technical matters in a non-technical way & clearly present complex and sensitive issues

Preferred qualifications, capabilities, and skills:

• Experience with SAS
• Experience with bias detection tools or research of fairness
• Experience managing a team of quants
• Experience in LLM prompt engineering

Job Role and Responsibility:Lead complex initiatives impacting credit strategies across the customer lifecycle from acquisitions to collections. Advise senior leadership to develop and implement strategies, programs, and policies with a direct and significant impact on credit risk appetite. Demonstrate understanding of credit risk data, strategies and models across customers’ life cycle. Lead multiple analytical projects under tight timelines; ensure projects are completed on time and meet internal client expectations. Lead quantitative analytics using programming tools (SQL, SAS, and/or Python) to analyze data from a variety of sources to develop unsecure lending credit strategies. Lead credit strategy redesign and marginal hurdles framework that aligns with overall risk appetite. Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others. Effectively collaborate and consult in a matrix organization with peers, colleagues and managers to resolve issues and achieve goals. Present results of analysis and strategies to senior executive leadership. Interact with internal and external customers. Collaborate with business for oversight of risk management. Interact with Audit, Legal, external agencies, and regulatory bodies on risk related topics. Remote / telecommute work available, up to 2 days per week. Position required to appear in person at the location listed.

None

Required Qualifications:

Position requires a Bachelor’s degree in Engineering, Economics, Mathematics, Statistics, or related quantitative field and seven (7) years of experience in the job offered or in a related role involving credit risk.

Specific skills required:

• Five (5) years of programming experience in Python, SAS, and SQL with hands on experience handling large datasets
• Five (5) years of statistical analysis and knowledge of Machine Learning techniques
• Experience in managing originations/account management decision engine strategies
• Lead complex initiatives impacting credit strategies across the customer lifecycle from acquisitions to collections.
• Knowledge of P&L drivers for credit card/other unsecured lending products
• Knowledge and understanding of databases and data mining techniques

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

DESCRIPTION:

Duties: Design, develop and implement software solutions. Solve business problems through innovation and engineering practices. Involved in all aspects of the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules. Identify or troubleshoot application code-related issues. Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications. Assist with design reviews by recommending ways to incorporate requirements into designs and information or data flows. Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Computer Engineering, Computer Science or related field of study plus 5 (Five) years of experience in the job offered or as Software Engineer, Module Lead, Programmer Analyst, IT Consultant, or related occupation.

Skills Required: This position requires experience with the following: Designing and developing web based applications using Java and J2EE technologies; Building applications using JSON data files or service payloads for data transfer; Developing software using Spring Framework components such as Spring Boot, and using Maven to resolve the dependencies and build the application; Designing independently deployable, loosely coupled, components using Microservices architecture and developing those by following REST principles; Designing and developing dynamic web applications using JavaScript and jQuery; Developing applications and performing exploratory data analysis to store and retrieve enterprise data using Oracle and Cassandra Databases; Enhancing application data retrieve capability by using object relational mapping tools such as Hibernate; Designing and developing distributed real time message systems by using Apache Kafka; Developing deployable, auto scalable, cloud native web applications by using Cloud Services such as AWS, Pivotal Cloud Foundry, or Azure; Providing secure and friction less experience to the application end users by following appropriate SOAP and REST principles and developing web services; Performing Unit Testing and Regression Testing on applications using Junit, Selenium, and Cucumber; Performing deployment analysis and application setup on Apache Tomcat server; Measuring web based applications and API response times by conducting Performance Testing; Using Splunk and Dynatrace to develop 24X7 monitoring for application logs and performance and alerting appropriate entities; Enhancing software development processes by adhering to continuous integration or continuous delivery principles to integrate Jenkins with API's and web based applications; Using GIT version control to track the progress of application code across software development lifecycle and its multiple iterations.

Job Location: 300 N King St, Wilmington, DE 19801.

Job Description:

Job Description:

Key Responsibilities:

• Work with clients, their attorneys and other professionaladvisors includingco-trustees, investmentadvisors, accountants,

• Respond to requests frombeneficiaries includingrequest for discretionarydistributions. Obtainsupporting documents such as tax returns andbudgets. Preparediscretionary distributionrequest outliningthe dispositive provisions and otherrelevant languagein the trust agreement and make recommendations regarding how the Trust Company should exercise discretionary powers pursuant to the terms of the governing instrument. Confer with co-trustee (if any) to obtain his/herapproval. Communicate thedecision to client.

• Minimize account risk by analyzing trust documents and performing annual account reviews for compliance with trust provisions, state and federal regulations, and trust policy andprocedure adherence. Utilizerisk management tools, such as the overdraft report, daily transactionreport, etc.

• Communicate withinvestment advisors, portfolio managers,and financial advisors regardinginvestment matters and liquidity needs.

• Work with the Account Opening Group to open trust accounts. Interpret the governing instrument to ensure the proper set-up of account records, including payments, fee schedules and tax records. Communicate with beneficiaries and co-trustees to outline administrative procedures.

• Must have detailed knowledge of how trusts function and are administered. Prior experience administering Delaware Directed Irrevocable Trusts is preferred.

• Need to be detail-oriented and be able to manage multiple priorities and projects. The trust officer should have excellent time management and organizational skills. Since the trust officer will interact with clients and their advisors, the trust officer should also have very strong communication and interpersonal skills.

• Must be able to effectively coordinate with the Bank’s Tax Team, various fund managers, and the clients’ personal tax preparers to ensure information is shared with the appropriate parties for timely completion of the applicable tax returns.

• Eager to contribute ideas to continuously improve systems and processes to ensure we can deliver the best possible service for our clients.

• Willing to mentor junior associates to help with their growth and development.

• Adhere to the Bank’s core values of delivering together, acting responsibly, realizing the power of our people, and trusting the team.

Desired Qualifications:

• 7 plus years of trust experience
• Bachelor’s degree required or equivalent experience, CTFA or JD preferred.

Skills:

• Account Management
• Analytical Thinking
• Attention to Detail
• Client Management
• Customer and Client Focus
• Active Listening
• Collaboration
• Critical Thinking
• Prioritization
• Relationship Building
• Mentoring
• Oral Communications
• Organizational Effectiveness
• Problem Solving
• Written Communications