Technology Support I-unix/ Oracle jobs at Jpmorgan in India, Bengaluru

Job responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
  

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

Job responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate
• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Mentor, Coach other Junior fellow SRE members in the location and act as point of contact for driving SRE practices for the team
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers
• Supports the adoption of site reliability engineering best practices within your team

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Be the point of contact for all day 2 day SRE operations for the team
• Ability to code in at least one programming language
• Familiar with site reliability concepts, principles, and practices
• Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
• Experience maintaining AWS Cloud-base infrastructure AWS/LAMDA/S3/Route 53/Redshift/ECS/EC2/CloudWatch/Auto scaling
• Familiarity with containers or a common Server OS such as Linux and Windows
• Knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, Incident and Change management Process, Experience/ knowledge of GOOGLE SRE Process )
• Knowledge of Tools and concepts like Control-M, Autosys, POSTMAN/Swagger, SERVICE NOW, SQL/ORACLE/My SQL / Python/ PowerShell/OOP
• Knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform, CICD/GITHUB/ Bitbucket

• Knowledge of common networking technologies like SSH, SMTP, SFTP, HTTPS

• Good to have Docker/ fluent
• ITIL Version 3.0 or Greater
• General Knowledge of financial services industry

Job Responsibilities

• Respond to incidents and coordinate staff follow up, including necessary investigation and risk mitigation, in partnership with LOB business management, corporate partners, and local law enforcement.
• Develop and maintain relationships and lines of communication with law enforcement agencies, key LOB partners and management, participate in key management meetings to maintain visibility and open lines of communication, and coordinate plans to mitigate known civil disturbances, protests, etc. that have proximity or target company locations and personnel.
• Manage guard force in assigned facilities.
• Perform periodic security review and risk assessment at assigned facilities and conduct periodic security and personal safety training.
• Support security infrastructure projects at assigned properties.
• Be available for after-hours response to emergency incidents.
• Travel on occasion to assist with corporate events security and executive protection support as needed.

Required Qualifications, capabilities, and skills

• College degree from a 4-year accredited university and 10+ years of security management experience with corporate security local/state/federal law enforcement, or military.
• Hands on experience in performing risk analysis, identifying vulnerabilities, conducting threat modelling, and performing security reviews
• Advanced analytical skills, decision making capability, strong critical thinking and high degree of comfort in fast-paced dynamic/ambiguous environment operating with initiative from the strategic to tactical level
• Strong security product knowledge and investigative experience
• Attention to detail and delivery oriented, able to effectively plan and track to prescribed timeline, excellent follow-through
• Strong interpersonal and influencing skills, able to work with multiple teams, including the ability to effectively lead a team or work unit
• Hands on experience in performing risk analysis, identifying vulnerabilities, and performing security reviews
• Experience in information gathering, tracking, and consolidation, reporting, dashboards, and presentations
• Knowledge of physical security technology systems and strong familiarity with physical and procedural security concepts
• Self-starter and motivated, flexible and comfortable working with multiple competing timelines and able to operate with limited supervision
• Effective ability to communicate in a concise manner both in speaking writing and leveraging Word, Excel, and PowerPoint

Job responsibilities

• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.
• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.
• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques
• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipeline
• Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases.
• Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences.
• Build and manage team with responsibility for developing and delivering AI/ML solutions to support AWM - GPB Operations and Core Technology Product Areas
• Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate
• Partner with AWM AI/ML and Architecture teams to architect and implement scalable, cost effective, enterprise quality data and analytics systems
• Ensure conformance with all applicable controls, policies, and procedure

Required qualifications, capabilities, and skills

• Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Demonstrated management skills in leading data scientists
• MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics
• Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions
• Practical experience with statistical data analysis and experimental design
• Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes
• Leadership and executive presence – demonstrated credibility as a thought leader and influencer
• Strong project management skills – track record of driving execution and delivery
• Excellent communications skills – can concisely, clearly, and accurately share ideas

Job responsibilities:

• Provide daily system support operations including issue resolution, user requests, enhancement requests, user acceptance testing, ad-hoc requests, etc.
• Monitor the support tools and mailbox for user tickets/issues.
• Prioritize and schedule tickets; escalate tickets/issues to the L2/L3 teams as required.
• Provide technology troubleshooting support on basic user issues and system issues such as data problems.
• Resolve and close user-related tickets assigned to Operate Support in a timely and complete manner by providing application knowledge.
• Coordinate Access Administration and support Recertification for supported applications.
• Be flexible in working rotational shifts (APAC, EMEA, and U.S.)
• Provide application testing/validation support on an as needed basis.

Required qualifications, capabilities, and skills:

• 4+ years of relevant experience in a similar role.
• Solid understanding of risk management and control principles.
• Excellent written and verbal communication abilities.
• A strong focus on delivering exceptional customer service.
• Ability to effectively communicate with both technical and business partners, adapting language to suit the audience.
• Strong organizational, documentation, and multitasking abilities, with a proven track record of managing expectations and delivering results.
• High level of professionalism, self-motivation, and a strong sense of urgency.

Guide and shape the future of technology at a globally recognized firm, driven by pride in ownership.

Job Summary

As a Credit Support Manager - Associate within our Loans group, you will be responsible for closely monitoring and guiding your team daily to ensure all Service Level Agreements (SLAs) are met. You will oversee a variety of processes, including Deal Closing, Drawdowns, Rollovers, Repayments, Pre-payments, Funding, Rate-Fixings, Fees, and external payments. This role offers a unique opportunity to enhance your skills in managing Nostro & Past Due Reconciliation, allowing you to make a significant impact on our operations.

Job Responsibilities

• Monitor the team daily to ensure all SLAs are met and escalate exceptions immediately for resolution.
• Supervise processes like Deal Closing, Drawdowns, Rollovers, and Nostro & Past Due Reconciliation.
• Ensure adherence to QUALITY & QUANTITY SLAs and maintain a robust workflow allocation model.
• Serve as the SME, handling complex process-related queries and routing them to onshore teams if needed.
• Implement a robust Knowledge Management model, including SOP maintenance and training.
• Drive 100% compliance with process-related policies, guidelines, and controls.
• Motivate and support team members to meet goals, identifying HIPOs and planning for their development.
• Identify alternatives and options for issues, seeking alternative scenarios.
• Work successfully with others, valuing diverse skills and building interdependence.
• Identify training needs to improve performance and ensure compliance with training timelines.
• Ensure high team depth with trained backups for critical work queues.

Required Qualifications, capabilities and skills

• Hold a Bachelor's degree with minimum 8 years of relevant Credit Support experience in syndicated loans or back office/financial industry roles.
• Gain knowledge of loan systems like Loan IQ
• Possess knowledge of nostro/cash matching, General Ledger reconciliation, and SWIFT and remittance systems.
• Demonstrate strong problem-solving and investigative skills to analyze and resolve process-related issues.
• Maintain a strong risk and control mindset.
• Understand investment banking products, including loans.
• Drive small to medium-sized projects, achieving strong results.

Preferred qualifications, skills and capabilities

• Influence and lead conversations with stakeholders effectively.
• Demonstrate executive presence by summarizing, recommending, and presenting issues and solutions to senior management and executive leadership.
• Develop domain learning and exhibit strong interpersonal and communication skills.
• Apply analytical thinking and problem-solving skills effectively.
• Understand the product lifecycle and area product management thoroughly.