Tech Risk Controls Semi Sr jobs at Jpmorgan in Argentina, Buenos Aires

As a Senior Manager of Software Engineering at JPMorgan Chase within the Infrastructure Platforms organization, you will play a pivotal leadership role by offering technical coaching and advisory support to multiple technical teams. You will also be responsible for anticipating the needs and potential dependencies of other functions within the firm.

Job responsibilities

• Provides overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Ensures successful collaboration across teams and stakeholders, including cloud platform engineering teams to enable the delivery of high-quality, secure, and scalable applications on the cloud
• Executes creative software solutions, design, development, and technical troubleshooting and utilize a creative approach to devise solutions and resolve complex technical challenges
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Influences peers and thought leaders to drive awareness and use of new and leading-edge technologies
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Experience leading teams of technologists while working at code-level inPython, Azure SDK, and proficient in all aspects of the Software Development Life Cycle
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• Experience with Azure services (Storage, Compute, Integration, IAM, Network)
• Terraform for Infrastructure as Code (IaC) and practical Azure cloud-native experience
• Proficiency in automation and continuous delivery methods, including CI/CD pipelines and tools such as Jenkins and Spinnaker
• Experience with version control systems such as Git
• Experience with Azure policy writing, testing , knowledge of security best practices in cloud environments, and a strong understanding of Azure policies and governance
• Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills

• Understanding of Azure AI services is a plus
• In-depth knowledge of the services industry and their IT systems
• Familiarity with containerization technologies such as Docker and Kubernetes

As a Credit Risk Associate in the Asset Based Lending Group of the Commercial and Investment Bank, your responsibility will be to: i.) support in the management of a portfolio of Global Corporate Banking (”GCB”) and Investment Bank (“IB”) clients that have Asset Based loans and ii.) support in the independent analysis and review of credit exposure for new and existing ABL clients, in a second chair capacity until such time that the Associate demonstrates ability to work as the primary ABL credit contact. ABL Credit Risk professionals lead the ABL client credit relationship along with GCB and IB Bankers who manage the overall relationship, as well as partnering closely with the IB credit team and ABL Originations/Syndications. The role involves extensive interaction with clients, product and functional partners, internal and external legal counsel, lenders, and investors.

Job Responsibilities

• Participate in all aspects of the credit relationship, including credit analysis, financial modeling and coordinating credit approval for all products including loans, derivatives, leases, and cash management.
• Proactively support and enhance client relationships.
• Recommend changes in structure and account management strategy to address negative trends. Assess monthly, quarterly, and annual financial statements and ongoing borrowing base reporting and collateral diligence and monitoring. Assigns and assesses internal ratings, risk assessment, and risk mitigation.
• Participate in structuring and negotiating Credit Agreements, amendments, waivers and related legal documents.
• Manage and monitor loan products including affirmative, negative, and financial covenant compliance. Manage on-going communication with bank group members.
• Review, interpret, and implement findings from collateral appraisals and field exams. On-going monitoring of collateral trends and liquidity, establishing reserves, and recommending appropriate course of action to address issues.
• Partner with Bankers, IB Credit, ABL Originations/Syndications, Debt Capital Markets, Syndicated Leveraged Finance, Treasury Services, Leasing, Derivatives, and Loan Operations.
• Communicate with Senior Management, respond to regulatory requests, and maintain internal credit files.
• Support the credit team in projection modeling, independent analysis, and review of new or modified ABL exposure for prospects and existing clients.

Required qualifications, capabilities, and skills

• Minimum 3 plus years experience in Credit Risk with Asset Based Lending knowledge a plus
• Excellent written and verbal communication skills
• Ability to multitask in a fast-paced environment
• Bachelor's degree in Accounting, Finance, or a related field is preferred
• Formal credit training a plus

Job responsibilities

• Acquire and manage data from primary and secondary data sources
• Identify, analyze, and interpret trends or patterns in complex data sets
• Transform existing ETL logic on AWS and Databricks
• Innovate new ways of managing, transforming and validating data
• Implement new or enhance services and scripts (in both object-oriented and functional programming)
• Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
• Apply quality assurance best practices to all work products
• Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
• Become comfortable with learning cutting edge technology stacks and applications to greenfield projects
  

Qualifications

• Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy.
• Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations
• Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others
• Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
• Experience in writing efficient SQL queries
• Strong understanding of linear algebra, statistics, and algorithms.
• Strong Experience with UNIX shell scripting to automate file preparation and database loads
• Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
• Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong development discipline and adherence to best practices and standards.

Preferred qualifications, capabilities and skills

• Experience in Data Science, Machine Learning and AI is a plus
• Financial Services and Commercial banking experience is a plus
• Familiarity with NoSQL platforms (MongoDB, AWS Open Search) is a plus