דרושים Regulatory Reporting Specialist ב-גיי פי מורגן ב-India, Bengaluru

Join the team that is delivering strategic data and process transformation in Corporate Finance & Operations, using first class methodologies in program governance and project delivery. This role will be responsible for the delivery of various projects across the Environment, Social, Governance (ESG) program book of work, managed through an agile framework which allows for a prioritized backlog and interactions with a diverse set of stakeholders across different geographies.

As an Finance Data Manager Associate within Firmwide Finance Business Architecture (FFBA) team, you will form part of a high performing team of project and data management professionals focused on delivering strategic automation to the ESG Finance Controller Reporting space. This is to support JPMorgan Chase’s requirement to track Environmental, Social and Governance (ESG) obligations in response to regulatory reporting requirements (EU Taxonomy & Net Zero Emissions) and internal firmwide initiatives.

Job responsibilities

• Drive end-to-end requirement discussions and develop and deliver plans for successful delivery of change events
• Execute data quality testing to validate data requirements from upstream sources have been met, in addition to providing data quality support through monitoring of data quality issues and performing root-cause analysis to aid resolution efforts
• Owns the creation and ongoing maintenance of the Data Requirements Documents and Model Documentation which will contribute towards the goal of ensuring data is fit for consumption
• Schedule and coordinate the implementation of new data models in strategic cloud architecture,
• Influence and communicate with stakeholder (business, operations, technology) relationships
• Liaise with various project stakeholders to collect data inputs and maintain robust communication on evolving data requirements.

Required qualifications, capabilities, and skills

• 3+ years of product ownership or project delivery experience, with particular focus in a Finance/Banking and/or Data space
• Strong analytical and problem solving skills, with desire to submerge into the detail of a topic, issue or deliverable to understand the underlying concept
• Self-starter; proven ability to work independently to meet deadlines
• Ability to quickly learn and assimilate business and technical knowledge
• Strong organizational skills and ability to manage multiple streams of work concurrently
• High proficiency in key MS Office applications (Word, Excel, Power Point and Visio), JIRA and Confluence
• Strong written and verbal communication skills, with ability to tailor messaging to various audiences
• Attention to detail, ability to juggle multiple priorities and thrive in a varied, fast-paced environment

Preferred qualifications, capabilities, and skills

• Solid understanding of Financial and/or Regulatory reporting processes; understanding of ESG related data is a plus
• Knowledge and experience of traditional credit (Loans, Deposits, Cash)
• Previous experience in Finance, Risk or Operations functions
• SQL, Cloud and Tableau knowledge
• Proficiency in project management tools, such as JIRA, Confluence and SharePoint

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

Introductory Market Language

Job Responsibilities

• Ensure sound understanding of the Standard Operating Procedure
• Analyze cases and apply resolutions methods as per SOP guidelines
• Manage case inventory & ageing as per pending guidelines
• Refer and transfer complex issues/inquiries to Subject matter expert & Team Leader
• Enhance customer experience by meeting customer impact accuracy levels and reducing case resolution turnaround time
• Ensure processing discipline by meeting non customer impact accuracy levels and respond to escalations with a sense of urgency
• Take active participation in PMR, Q-board, and team huddle and also identify areas for process improvement
• Complete the assigned trainings in time

Required qualifications, capabilities and skills

Graduate in Commerce or Graduate in any stream with 0+ Years of experience
Basic understanding of Accounting Knowledge
Oral & written communication skills
Adaptability to change
Attention to detail
Ability to work as a team

Job Profile:

Join our fun, high-energy team as a Senior Home Lending Advisor in Chase Home Lending and put your exceptional knowledge and understanding of home lending products to good use by serving as your customers’ chief point of contact throughout the life of the loan while the Home Lending team supports you by sharing demonstrated knowledge in this area of specialization. You will adhere to all regulatory requirements while marketing and promoting the financial products offered by Chase. You will have a unique opportunity to grow your career while making a significant impact on our business.

As a Senior Home Lending Advisor in Chase Home Lending, you will take your clients on a first-class journey to home ownership and deliver strong sales results. You will put your exceptional knowledge and understanding of home lending products to good use by serving as your customers’ chief point of contact throughout the life of the loan. You will adhere to all regulatory requirements while marketing and promoting the financial products offered by Chase.

Job responsibilities

• Coaches and mentors the branch team by providing training on products and services.
• Works together with bankers, meeting with their customers and introducing new clients to bankers for additional products and services
• Partners with your team to create an outstanding customer experience by utilizing centrally managed direct mail, media advertisements, cross-sell efforts, relocation programs, statement programs, Chase.com, electronic newsletters, outbound lead sourcing, and other marketing efforts
• Develops a strong partnership with the assigned retail branches to promote mortgage loan originations (in footprint territories), and can function well within formal and dotted-line reporting relationships
• Builds role as the internal and external mortgage expert; builds and maintains good relationships with customers; and exhibits consultative skills to provide recommendations based on financial analysis and expertise, product knowledge, and knowledge of the customer's financial needs, goals, and circumstances

Required

• Minimum three years of mortgage lending and proven sales experience in retail banking

• Knowledge of real estate market in local area

• Excellent written and oral communication skills

• Knowledge of FHA, VA, FNMA, and FHLMC guidelines

Preferred qualifications, capabilities, and skills

• FHA/VA sales experience

• Marketing, promoting, relationship building, and consulting skills

• Intermediate PC skills in a Windows environment

• Bachelor's degree or equivalent work experience in sales and/or real estate

This position is subject to the Dodd Frank/Truth in Lending Act qualification requirements for Loan Originators. As such, an employment offer for this position is contingent on JPMC's review of your criminal conviction history, credit report, information available through NMLS, and any other information relevant to a determination by JPMC that you demonstrate financial responsibility, good character, and general fitness for the position. Note that any felony conviction within the last seven years will disqualify you from consideration for this position. Your continued employment in this position would be contingent upon compliance with Truth in Lending Act/Dodd Frank Loan Originator requirements.

In addition, this position requires National Mortgage Licensing System and Registry (NMLS) registration under the SAFE Act of 2008. As such, upon active employment with JPMorgan Chase, you will be required to either register on NMLS, or to update your existing registration as necessary to grant access to and reflect your employment with JPMorgan Chase. Your continued employment in this position with JPMorgan Chase is contingent upon compliance with the SAFE Act, including successful registration immediately after your start date, and timely completion of annual renewal and required updates thereafter.

Any information obtained during the registration, update, and renewal processes or through NMLS notifications may impact your employment with the firm. Any of the completed information you provide during the Chase on-line application process may be transferred, on your behalf, to NMLS by JPMorgan Chase. Please carefully review the information you provide to Chase for accuracy and consistency and with any current NMLS record, if applicable, before submitting. Further information about NMLS and registration requirements of registration can be found at:

Regulatory Operations CoE serves private clients worldwide, with offices in the US, Europe, and Asia, as part of the Asset & Wealth Management LoB. The team addresses complex regulatory reporting needs, delivering automation and supporting various data requirements. We aim to enhance our reporting infrastructure and management of regulatory needs, seeking a VP to lead 'Run the Bank' and 'Change the Bank' functions in the Credit domain. This role offers broad visibility across Asset and Wealth Management, with opportunities for creative problem-solving and collaboration with various business and technology groups.

As the Vice President in the Regulatory Operations CoE within the Asset & Wealth Management LoB, you will own the execution of the 'Run the Bank' (RTB) and 'Change the Bank' (CTB) functions in the Credit domain. You will have end-to-end accountability for the production and delivery of regulatory reports, partner extensively with various business lines, and promote significant improvements in regulatory reporting. This role offers extensive cross-functional exposure and the opportunity to creatively problem-solve on a broad scale.

Job responsibilities:

• Prepare, validate, and submit reports.
• Oversee and manage regulatory enquiries.
• Monitor RTB/CTB service deliveries (e.g. metrics dashboards).
• Report on governance of RTB production metrics.
• Own the end-to-end incident management process.
• Execute data, process, and report quality reviews to ensure quality, accuracy, completeness, and timeliness.
• Identify common problems and implement sustainable fixes for continuous improvement.
• Deliver sustainable RegOps services that meet future demand efficiently and effectively.
• Provide proactive RegOps services to help drive the regulatory agenda in the marketplace.
• Foster an inclusive culture that enables all employees, colleagues, and partners to be their true selves in the working environment.

Required qualifications, skills and capabilities:

• Agile thinker, decision and action taker
• Builds a strong control framework and operates within that framework to ensure successful delivery of all our regulatory requirements
• Identifies, monitors, manages with metrics that matter
• Strong stakeholder management: connection, communication & collaboration.
• Excellent communicator: communicates in a way that meets the needs of multiple audiences (firmwide, executive, regional, LoB, location)
• Passionate about continual service improvement creates environments to identify and solution efficiencies in business processes
• Understands regulatory domain and functions like credit, client onboarding etc. and continuously strives to improve, innovate, leverage Tech solutions fit for the future
• Intellectually curious: passionate about the subject matter and keen to grow a detailed knowledge of the regulatory landscape through relevant research, data analysis and solutioning
• Leverages a flexible leadership style, with the ability to influence in a broad set of circumstances. Applies a global and firmwide perspective in establishing direction for team
• Knowledge of regulatory landscape. Developing policies, procedures, performance outcomes and standards that are aligned to meet all regulatory and controls standards.
• Supports, drives and influences the goals and strategies of business by taking initiative, engaging others, expressing ideas and challenging the status quo and effectively representing the Business function. Demonstrates leadership, influencing and change management behaviours
  

Preferred qualifications, capabilities and skills:

• Minimum 12+ years of financial services experience with exposure / involvement in one or more of the following areas: Private Banking, reporting, intelligent automation, process improvement
• Promotes partnership, encourages collaboration, information sharing and discussion to break down silos
• Challenges the status quo. Takes accountability for issues and actions and leverages relationships to ensure client and internal expectations are met.
• Continuously displays strong analytical and decision making skills.
• Strong attention to the identification, prioritization and resolution/escalation of risk issues.
• Proactively responds and adapts to change on a personal and professional level. Supports and influences strategies to drive business transformations and enhancements to current practices.
• Excellent communication skills and strong influencing and negotiation skills

As a Risk program Senior Associate within the Chase consumer Bank, you'll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.

Job Responsibilities:

• Identify and retool machine learning (ML) algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.
• Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.
• Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Required qualifications, capabilities and skills:

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields.
• 2+ years of experience with data analysis in Python.
• Experience in designing models for a commercial purpose using some (at least 3) of the following machine learning and optimization techniques: CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM.
• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.

Preferred qualifications, capabilities and skills:

• PhD in a quantitative field with publications in top journals, preferably in machine learning.
• Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive.
• Experience designing models with Keras/TensorFlow on GPU-accelerated hardware.
• Experience with graph technology, including designing and implementing graph-based machine learning models for fraud detection or risk assessment. Familiarity with graph databases (such as TigerGraph or Neo4j …), graph algorithms (e.g., node classification, link prediction, community detection), and graph feature engineering is highly desirable. Ability to leverage graph analytics to uncover complex relationships and patterns within large-scale transaction data is a strong plus.
• Hands-on experience with transformer models and related architectures (such as BERT, GPT, or Graph Transformers) for natural language processing, anomaly detection, or transaction analysis. Proficiency in fine-tuning and deploying transformer-based models using frameworks like PyTorch or TensorFlow is preferred. Demonstrated ability to apply transformer models to extract meaningful insights from unstructured or semi-structured data sources will be highly valued.