דרושים Payment Lifecycle Specialist ב-גיי פי מורגן ב-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

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:

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.