5 Risk Modeling jobs in Mumbai
Senior Actuarial Analyst - Risk Modeling
400001 Mumbai, Maharashtra
₹90000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
WhatJobs is seeking a highly analytical and experienced Senior Actuarial Analyst with a specialization in risk modeling to join our innovative insurance practice. This fully remote position offers the opportunity to work on challenging projects, develop sophisticated actuarial models, and contribute significantly to our risk management strategies. The ideal candidate will possess a strong understanding of insurance principles, statistical modeling techniques, and regulatory requirements.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain complex actuarial models for pricing, reserving, and risk assessment across various insurance lines of business.
- Conduct thorough analysis of large datasets to identify trends, patterns, and insights related to insurance risks and financial performance.
- Perform stochastic modeling, sensitivity analysis, and scenario testing to quantify potential financial impacts of various risks.
- Collaborate with underwriting, claims, and finance departments to provide actuarial insights and support strategic decision-making.
- Ensure compliance with all relevant actuarial standards, regulatory requirements, and internal policies.
- Assist in the preparation of financial statements, regulatory filings, and management reports, providing clear explanations of actuarial assumptions and results.
- Stay abreast of emerging trends in actuarial science, risk management, and the insurance industry, including new modeling techniques and software advancements.
- Mentor and guide junior actuarial staff, fostering their professional development.
- Present complex actuarial findings and recommendations to both technical and non-technical audiences, including senior management.
- Contribute to the continuous improvement of actuarial processes and methodologies.
- Conduct research and analysis to support new product development and pricing strategies.
- Monitor the performance of existing insurance portfolios and recommend adjustments as needed.
- Ensure data integrity and accuracy in all actuarial analyses and reports.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field.
- Fellow of the Actuarial Society (e.g., FSA, ACAS) or significant progress towards achieving fellowship status.
- Minimum of 5 years of progressive experience in actuarial analysis and risk modeling within the insurance industry.
- Strong expertise in statistical modeling, including regression analysis, time series, and simulation techniques.
- Proficiency in actuarial software (e.g., Prophet, GGY Axis, RADAR) and programming languages (e.g., Python, R, SQL).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Demonstrated ability to manage complex projects and deliver results within deadlines.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Experience with Solvency II, IFRS 17, or other relevant regulatory frameworks is a plus.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
0
Ccb Risk - Machine Learning Risk Modeling
Mumbai, Maharashtra
JPMorgan Chase Bank, N.A.
Posted today
Job Viewed
Job Description
**CCB Risk Modeling - Applied AI/ML Associate**
- Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business
- 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 marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
**Basic Qualifications**
- Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
- 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**
- 3+ years of experience in developing and managing predictive risk models in financial industry
- 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
- 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)
- 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
JPMorgan Chase & 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.
- Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business
- 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 marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
**Basic Qualifications**
- Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
- 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**
- 3+ years of experience in developing and managing predictive risk models in financial industry
- 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
- 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)
- 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
JPMorgan Chase & 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.
This advertiser has chosen not to accept applicants from your region.
1
Investment Risk & Analytics - Quant Modeling Associate
Mumbai, Maharashtra
JPMorgan Chase & Co.
Posted today
Job Viewed
Job Description
Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM’s Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan’s own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc.
We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification.
Job responsibilities:
Required qualifications, capabilities, and skills
This advertiser has chosen not to accept applicants from your region.
2
Ccb Risk - Machine Learning Modeling - Associate
Mumbai, Maharashtra
JPMorgan Chase Bank, N.A.
Posted today
Job Viewed
Job Description
Working for one of the largest banks, card issuers, and payments processors in the US, you'll be fighting crime and protecting consumers and small businesses from financial fraud, including check fraud, overdraft fraud, account takeovers and identity theft, with mathematical modeling.
You'll work in an industrial R&D/skunkworks environment, developing innovative predictive models on a dataset in the hundreds of TBs and higher. As there are no known model architectures that are effective on fraud datasets in general, you'll need to develop them.
**Qualifications**:
- At least Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields
- At least one year 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
- 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
JPMorgan Chase & 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.
You'll work in an industrial R&D/skunkworks environment, developing innovative predictive models on a dataset in the hundreds of TBs and higher. As there are no known model architectures that are effective on fraud datasets in general, you'll need to develop them.
**Qualifications**:
- At least Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields
- At least one year 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
- 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
JPMorgan Chase & 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.
This advertiser has chosen not to accept applicants from your region.
3
Investment Risk & Analytics - Quant Modeling Sr. Associate
Mumbai, Maharashtra
JPMorgan Chase & Co.
Posted today
Job Viewed
Job Description
Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM’s Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan’s own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc.
We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification.
Job responsibilities:
Required qualifications, capabilities, and skills:
This advertiser has chosen not to accept applicants from your region.
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