Primary responsibility: - Provide thought leadership and the needed quantitative expertise to deliver risk models. - Assume leadership responsibility for accurate and appropriate model development, quantification and implementation of model using advanced statistical/mathematical techniques like regression, XG Boost, Nueral nets, SVM or other traditional modeling/ machne learning methods. - Lliasoning 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. - Accountable for business impact and robustness of models delivered. - Handle a variety of modeling projects required dealing with different stakeholders, different statistical methods, and members across locations. - Developing relationships with stakeholders to ensure that business problems can be discussed openly and helping envision where a model night be required - Responsible for effectively developing the team - Participate in external department projects which provide leadership and coaching. - Decision making is both strategic and tactical in nature. - Makes autonomous decisions on functional goals that influence larger departmental goals. - Consults with Directors and Senior Leaders on decisions regarding broad organizational impact. Qualifications :&nbsp; - 10+ years statistical model development/ Machine learning model development experience in a deeply quantitative role in the financial services industry or Fintechs dealing with advanced analytical or machine learning methods - 10+ years SAS experience; well versed in SAS/Base, SAS/STAT, SAS/Macro, and data-mining procedures. SAS Certification preferred OR - 3+ years experience in Python, Spark, Hive, Scala, Big Data, Hadoop, Keras, Scikitlearn etc. - Demonstrates leadership within the team in terms of attitude, initiative and inclusivity. - Experience managing US stakeholders and mid-sized teams will be helpful. - Ability to effectively present ideas and presentations to Executive Management. - Able to effectively develop and mentor the team - A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering from Top-Tier university like IIT, IIM, IISc, ISI, IGIDR etc. - Experience utilizing relational and distributed data tools dealing with structured and unstructured data. Example tools include Hive, DB2, Oracle, or Teradata. - Experience in developing, implementing and testing traditional and Machine Learning driven risk models within financial institutions with strong regulatoy oversight and tight timelines. - Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data. - Ability to make contributions to the group's knowledge base by proposing new and creative ways for approaching analytic problems and project design. JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. The apply button will redirect you to an external URL, please apply there as well.

Bangalore

JP Morgan Chase - Vice President - Quantitative Risk Modeling - Consumer & Community Banking 

JP Morgan Chase - Vice President - Quantitative Risk Modeling - Consumer & Community Banking  ,Job Description for JP Morgan Chase - Vice President - Quantitative Risk Modeling - Consumer & Community Banking  in JP Morgan Chase in  Bangalore for (10-15) years of experience. Apply Now!

Job Description for JP Morgan Chase - Vice President - Quantitative Risk Modeling - Consumer & Community Banking  in JP Morgan Chase in  Bangalore for (10-15) years of experience. Apply Now!