hireejobs
Register for Job
Hyderabad Jobs
Banglore Jobs
Chennai Jobs
Delhi Jobs
Ahmedabad Jobs
Mumbai Jobs
Pune Jobs
Vijayawada Jobs
Gurgaon Jobs
Noida Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Machine Learning Risk Modeling - Associate

1.00 to 4.00 Years   Bangalore   19 May, 2023
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.As part of CCB Risk Modeling you will help develop and manage statistical and Machine Learning risk models that support Chase Card Services. You will be utilizing cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business. You will also get an opportunity to leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes. Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production.Collaborate with various partners in risk strategy, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) Job responsibilities
    • Own end-to-end risk model development efforts within Core Modeling using advanced statistical/ML techniques like regression, XG Boost, Neural nets, Graph or other traditional modeling/ Machine learning methods.
    • Liaison with risk development partners like MRGR, Fair Lending, Legal, Technology and LOB Business Stakeholders.
    • Own quality of models developed, assuring accurate and appropriate model development standards, and right implementation of models. Efficiently design and produce models following procedures for model development, validation, and reporting. Provide support for model implementation, performance monitoring and calibration.
    • Expected to work on multiple projects with teams in other locations, to ensure high quality model development standards, reviews and re-reviews, model monitoring, enhanced model usage support etc. in compliance with firm s Estimation policies and procedures. Ensure right development and usage of models owned.
    Required qualifications, capabilities, and skills
    • Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
    • 6+ years of experience in developing and managing predictive risk models in financial industry
    • At least one year of experience and proficiency in coding (e.g., Python, TensorFlow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)
    • Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network CNN and RNN, Clustering, Recommendation) as well as design and tuning
    • Polished and clear communication
    Preferred qualifications, capabilities, and skills
    • Demonstrated experience in designing, building, and deploying production quality machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus
    • Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired
    • Strong ownership and execution; proven experience in implementing models in production
    • Good presentation skills both written and oral are required for this role. Ability to multi-task and present quantitative information succinctly is required.
    ,

Keyskills :
source system analysisbig datarisk modelsdeep learningrisk modelingdata wranglingmodel buildingrisk managementcomputer sciencemachine learning

APPLY NOW

Machine Learning Risk Modeling - Associate Related Jobs

© 2019 Hireejobs All Rights Reserved