146 Risk Modeling Jobs - Page 4

In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes. Credit Risk Model Development or Validation experience covering IRB, IFRS9, ECL, Stress Testing, PD LGD and EAD modelling across retail and wholesale portfolios. Document the detailed model methodology including model assumptions, limitations, and weaknesses. Perform exploratory analysis of data and mitigate gaps. Should be proficient in handling historical data, perform statistical analysis to assess the quality of data to be used in models and mitigate issues. Prepare and deliver presentations to clients on credit risk management topics. Stay up to date with industry trends, regulations, and best practices related to credit risk management. Work collaboratively with other PwC teams to deliver integrated solutions to clients. Experience of building and maintaining stakeholder relationships Mandatory skill sets Credit Risk BA Preferred skill sets SAS/Basel Education qualification Master s or Ph.D. degree Education Degrees/Field of Study required Doctor of Philosophy, Master Degree Required Skills Credit Risk Modeling Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, AntiBribery, AntiMoney Laundering Compliance, Business Ethics, Code of Ethics, Communication, Compliance and Governance, Compliance and Standards, Compliance Auditing, Compliance Frameworks, Compliance Program Implementation, Compliance Reporting, Compliance Review, Compliance Risk Assessment, Compliance Training, Controls Compliance, Creativity, Cybersecurity Risk Management, Data Analysis and Interpretation, Data Protection Management (DPM), Disability Support, Embracing Change

Not Applicable Specialism Risk Management Level Senior Associate & Summary At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes. Why PWC & Summary The ideal candidate should have a working knowledge of Basel / SAS , Regulatory Reporting IRB, IFRS9, ECL, Stress Testing, PD LGD EAD modelling or model validation techniques for wholesale and retail portfolios. Experience in working on RWA and Capital Calculation methodology is a plus. The ideal candidate must have expertise in Python and SAS programming. Worked as a BA. Responsibilities Credit Risk Model Development or Validation experience covering IRB, IFRS9, ECL, Stress Testing, PD LGD and EAD modelling across retail and wholesale portfolios. Document the detailed model methodology including model assumptions, limitations, and weaknesses. Perform exploratory analysis of data and mitigate gaps. Should be proficient in handling historical data, perform statistical analysis to assess the quality of data to be used in models and mitigate issues. Prepare and deliver presentations to clients on credit risk management topics. Stay up to date with industry trends, regulations, and best practices related to credit risk management. Work collaboratively with other PwC teams to deliver integrated solutions to clients. Experience of building and maintaining stakeholder relationships Mandatory skill sets Credit Risk BA Preferred skill sets SAS/Basel Years of experience required 3+ Years Education qualification Master s or Ph.D. degree Education Degrees/Field of Study required Doctor of Philosophy, Master Degree Degrees/Field of Study preferred Required Skills Credit Risk Modeling Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, AntiBribery, AntiMoney Laundering Compliance, Business Ethics, Code of Ethics, Communication, Compliance and Governance, Compliance and Standards, Compliance Auditing, Compliance Frameworks, Compliance Program Implementation, Compliance Reporting, Compliance Review, Compliance Risk Assessment, Compliance Training, Controls Compliance, Creativity, Cybersecurity Risk Management, Data Analysis and Interpretation, Data Protection Management (DPM), Disability Support, Embracing Change {+ 30 more} No

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Job Title Risk and Compliance- Analyst- S&C GN-CFO&EV Management Level:11 Analyst Location:Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills:Risk modelling Good to have skills:Credit risk, Market risk, Liquidity risk Experience:1-3 years Educational Qualification:MBA(Finance) or CA or CMA Job Summary : Advise financial and non-financial Institutions across risk management areas such as risk strategy, transformation programs, enterprise risk, portfolio management, capability maturity assessments, fraud and financial crime risk compliance. Partner with global deal teams in selling, shaping and solution development of client deals by providing subject matter expertise on risk related topics. Shape thought capital around current and emerging risk management topics and contribute to development of Accenture points-of-view on risk trends and issues. Support practice development through various activities such as staffing, quality management, capability development and knowledge management. Build strong relationships with global Accenture Risk Management teams, and develop existing relationships based on mutual benefit and synergies. Roles & Responsibilities: Good project management skills and demonstrated experience in managing teams across functions and geographies Strong business acumen and knowledge of risk management process Ability to solve complex business problems and deliver client delight Strong writing skills to build point of views on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic consulting environment Qualification Professional & Technical Skills: MBA from Tier-1 B-schools with specialization in risk management 2-5 years of risk management experience at one or more Financial Services institutions, Rating Agency or Professional Services OR Risk Advisory with an understanding of one or more of the following areas: Credit risk measurement for the purpose of financial instruments impairment and/or capital requirements calculation (PD, LGD, EAD methodologies), Credit Risk Underwriting Frameworks, Risk Based Pricing, Early Warning Systems, Credit Policy & Limit Management, Collections Frameworks, Counterparty credit risk management and experience on counterparty risk methodologies such as PFE, EPE. Market risk measurement and management-related topics including operational processes, technologies, modelling approaches, risk aggregation and reporting, FRTB:Expected Shortfall, Default Risk Charge, NMRF; IBOR or LIBOR Transition experience. Operational risk management framework and methodology. Liquidity risk measurement , reporting and management, balance sheet framework, contingency funding requirement Hands-on experience in VaR/SVaR/IRC/CRM calculations for variety of financial instruments across Currencies, Credit, Commodities and Rates; In-depth understanding of new/evolving regulations in the Market Risk management space including treatment of off-balance sheet exposures, proprietary trading, systemic risk, stress testing, capital calculations, reporting standards etc. Treasury experiences in areas such as Asset Liability Management, Fund Transfer Pricing, and Interest Rate Risk in Banking Book with FO touchpoints. Hands-on experience in developing risk registers, conducting RCSAs, defining KRIs for risk management and control indicators, Risk Scenario Library & Analysis, Cyber and Tech Risk & Controls Assessment, SOX Compliance/ Internal Controls over Financial Reporting (ICOFR). Regulatory reporting compliance-European reg. reports:FINREP/COREP/Anacredit. Experience in platforms like Axiom, Wolters Kluwer etc. Experience in managing financial crime and compliance with a focus on fraud risk management, compliance/AML analytics, enterprise risk management (financial services and non-financial services), data analysis & aggregation, trade surveillance, robotic process automation. Experience in platforms like Quantexa, Actimize, Featurespace etc. Using Open AI in Modelling Enterprise Risk Management experience Strong understanding of risk regulatory framework of one more of the major economies across globe Knowledge of Risk Platforms such as Sungard, Murex, Sungard , Calypso, OpenPage, Fenergo, PEGA, JIRA, SAP HANA, Bloomberg, Reuters, and so on Experience in third-party risk consulting will be preferred. Prior Risk Consulting experience at pre-eminent, global risk management consulting firms desirable Industry certifications such as FRM, PRM, CFA preferred Additional Information: An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

VP of Engineering Stealth Fintech Startup Bengaluru 8 - 14 years 80L - 1.2Cr CTC 65 applicants Interview details 9 mins, 5-6 questions Closes on Jul 6 Meet your interviewer Swati Khanna VP of Human Capital AI Voice Get ready for your interview with Swati Khanna, VP of Human Capital at Peak XV The application process A summary of your most recent interview will be shared with the companys hiring team. If the company expresses interest in your resume and interview, well reach out to you with next steps. Older interviews will be overridden by the most recent interview. NOTE: This is an AI-driven experience, and while we strive for accuracy, AI may sometimes generate unexpected or imperfect responses. Note Only completed interviews will be considered for job applications. Finish yours to stand a chance at getting shortlisted. VP of Engineering Fintech Startup Role Overview As a VP of Engineering at our fast-growing, VC-backed fintech startup in Bangalore, you will be the technology and execution backbone of our company. You will lead and scale our engineering teams across backend, frontend, DevOps, and data shaping a high-performance culture and driving technical innovation that aligns with our business and product goals. Key Responsibilities Lead and scale the engineering function across backend, frontend, DevOps, and data teams. Own the end-to-end technology strategy to ensure alignment with business and product objectives. Recruit, mentor, and retain high-performing engineering talent while building a strong, collaborative team culture. Collaborate closely with Founders, Product, and Design teams to develop innovative features that delight users. Champion engineering excellence by enforcing modern best practices, agile principles, and robust security measures. Engage hands-on through code reviews, architecture decisions, and tech evaluations when necessary. What We Look For Skills: 8 14 years of software engineering experience with significant leadership responsibility in fast-paced environments. Proven track record of leading engineering teams (30+ people) in high-growth startups or tech-first companies. Strong expertise in scalable system design, cloud architecture (AWS/GCP), and modern development frameworks. Deep understanding of fintech infrastructure, with bonus points for experience in payments, lending, compliance, or APIs. Excellent collaboration skills and the ability to work effectively with cross-functional stakeholders. A bias for action, humility, and a passion for building high-impact, innovative products. Qualifications Required Experience: 8 14 years Bonus Points: Exposure to regulatory tech, risk modelling, or data platforms in fintech; prior startup or founder experience; contributions to open source or community-led tech forums Bangalore (Hybrid/Onsite) Apply for related jobs Prepare with practice interviews Get the app on Android or iOS.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Senior Manager - Stress Testing - The Edge Senior Manager Stress Testing Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a Manager in the Scenario Design Team, part of the Enterprise-wide Stress Testing (EST) hub. This team is responsible for developing and enriching macroeconomic stress scenarios used across the bank s internal and regulatory stress testing exercises, including BOE, ICAAP, Recovery & Resolution Planning, and Climate Risk Stress Testing. Key responsibilities Design and update economic stress scenarios across countries and regions. Collaborate with economists and country stakeholders to align scenarios with macroeconomic trends (growth, inflation, debt, etc.). Support quarterly management stress tests with timely scenario rollovers and enhancements. Maintain governance, documentation, and operational controls aligned with internal risk frameworks. Contribute to scenario automation, repository development, and regulatory compliance. Role requirements 5-7 years of experience. Strong understanding of macroeconomics, monetary policy, and financial systems. Proficiency in data analytics / statistics tools (preferably R). Prior exposure to stress testing, economic research, or risk modeling. Bachelor s or Master s degree in Economics, Finance, Statistics, or related field. Experience in a banking or regulatory environment is preferred.

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a Manager in the Scenario Design Team, part of the Enterprise-wide Stress Testing (EST) hub. This team is responsible for developing and enriching macroeconomic stress scenarios used across the bank s internal and regulatory stress testing exercises, including BOE, ICAAP, Recovery & Resolution Planning, and Climate Risk Stress Testing. Please contact Malavika or email your cv directly in word format with Job ID: 14929 to Please note that due to the high number of applications, only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful . Apply for this Job Key responsibilities Design and update economic stress scenarios across countries and regions. Collaborate with economists and country stakeholders to align scenarios with macroeconomic trends (growth, inflation, debt, etc.). Support quarterly management stress tests with timely scenario rollovers and enhancements. Maintain governance, documentation, and operational controls aligned with internal risk frameworks. Contribute to scenario automation, repository development, and regulatory compliance. Role requirements 5-7 years of experience. Strong understanding of macroeconomics, monetary policy, and financial systems. Proficiency in data analytics / statistics tools (preferably R). Prior exposure to stress testing, economic research, or risk modeling. Bachelor s or Master s degree in Economics, Finance, Statistics, or related field. Experience in a banking or regulatory environment is preferred.

Process Brief The primary function of this position is to perform various tasks related to the production & distribution of Portfolio & Benchmark performance, risk statistics, characteristics, & reporting. The individual will work under minimal supervision. Candidate will be a key resource in process improvement & building strong relationships with client and offshore teams, internal product, and engineering teams. Serves as a first level escalation point for client inquiries regarding the nature of investment products and their portfolios along with inquiries related risk numbers. The role requires growing expertise in the fixed income risk domain including a solid understanding of portfolio and security level risk modeling techniques, the sources of tracking error, and how the data quality of model inputs (example terms and conditions, pricing) can impact the quality of the analytics and risk model results. What Youll Do Conduct independent research to resolve issues in quantitative and qualitative scope for the major asset classes on different markets (exchange-traded or OTC). Understanding and applying knowledge of different asset classes valuation, pricing, and terms and conditions regularly. Also, understand the modeling of private assets or OTC instruments. Prepare performance analysis reports for institutional clients and investment managers globally across multiple asset classes. Perform analysis of the portfolios to explain the portfolios return attribution and characteristics. Deep dive into portfolio analytics for client portfolios, run stress testing, custom scenario analysis, calculate VaR at security and portfolio level, etc. Perform ad hoc analysis when given specific requirements and market conditions. Respond to basic, specific requests for risk statistics information. Respond to requests for data quality from internal stakeholders or clients. Understand and monitor critical client workflows, ensuring the clients daily deliverables are met. Basic working knowledge of Python and SQL. Team player who must show the willingness to work with global teams across time zones. Eligibility Criteria Bachelors Degree + MBA (Finance) with 1-3 years of experience in the financial services industry. Working towards CFA/FRM certification will be an added advantage. Strong understanding of equities, fixed income, and derivatives products. Articulate communicator, with excellent language skills - both oral and written. Exceptional analytical and problem-solving ability.

Job Title: Risk and Compliance Manager Management Level: Manager / Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Experience: 5–12 Years Education: MBA (Finance) from a Tier-1 B-school, or CA/CMA, CFA Certifications (Preferred): FRM, PRM, CFA About the Role Join a Top-Tier Strategy & Consulting Practice , where you will support global clients in building innovative, forward-looking risk management strategies as a Risk and Compliance Manager , where you will support global clients in building innovative, forward-looking risk management strategies. In this role, you will drive consulting projects, partner with deal teams, and help shape the future of risk and compliance across diverse sectors. Key Responsibilities Lead the design and delivery of risk strategy, transformation programs, business cases, and technology solutions in areas such as: Enterprise risk management Portfolio and liquidity risk Market and credit risk modeling Fraud and financial crime risk compliance Advise clients across geographies on risk maturity assessments and regulatory frameworks. Build and manage a pipeline of consulting engagements and business development opportunities. Author thought leadership and whitepapers on emerging risk trends. Collaborate closely with global teams to ensure consistent, high-quality delivery across markets. Contribute to practice development through mentorship, capability building, and knowledge sharing. Must-Have Skills Deep expertise in risk modeling , with hands-on experience in PD, LGD, EAD methodologies. Demonstrated experience in designing and executing credit, market, or liquidity risk frameworks. Proven ability to lead consulting projects or internal risk transformation programs. Strong business acumen with a consultative mindset. Excellent written, verbal, and presentation skills. Familiarity with risk technologies and platforms like Murex, Calypso, SAP HANA, PEGA, JIRA, Bloomberg, etc. Good-to-Have Skills Exposure to areas such as: Credit underwriting frameworks, collections, and counterparty risk FRTB, IBOR transition, stress testing, and capital calculations Risk register development, RCSA, KRI/KCI, fraud analytics Third-party risk consulting and operational risk management Knowledge of regulatory environments in key global markets Experience working with global clients in distributed delivery models Why Join Us Work with G2000 clients on strategic, high-impact projects Collaborate globally with leaders across strategy, tech, and industry Access world-class learning and development opportunities Champion responsible business , inclusion, and equality in everything you do Be part of a culture that supports growth, innovation, and purpose-driven work

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a Manager in the Scenario Design Team, part of the Enterprise-wide Stress Testing (EST) hub. This team is responsible for developing and enriching macroeconomic stress scenarios used across the banks internal and regulatory stress testing exercises, including BOE, ICAAP, Recovery & Resolution Planning, and Climate Risk Stress Testing. Some of the key responsibilities will include: Design and update economic stress scenarios across countries and regions. Collaborate with economists and country stakeholders to align scenarios with macroeconomic trends (growth, inflation, debt, etc.). Support quarterly management stress tests with timely scenario rollovers and enhancements. Maintain governance, documentation, and operational controls aligned with internal risk frameworks. Contribute to scenario automation, repository development, and regulatory compliance. To be eligible for this role you will require: 5-7 years of experience. Strong understanding of macroeconomics, monetary policy, and financial systems. Proficiency in data analytics / statistics tools (preferably R). Prior exposure to stress testing, economic research, or risk modeling. Bachelor's or Master's degree in Economics, Finance, Statistics, or related field. Experience in a banking or regulatory environment is preferred.

Skill required: Property & Casualty - Catastrophe Risk Management Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation/12th/PUC/HSC Years of Experience: 5 to 8 years What would you do? Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholdersUnderstand complex treaty structure and apply to portfolio risks Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitationsSupport ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersApply CAT modeling best practices by continually understanding the evolving process within Client and build process efficienciesCoaching and develop members within teamMaintain good documentation of results, issues, data quality etc and have regular dialogue with each line of business to provide feedbackClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for? Minimum 5 years of catastrophe modelling experience - Strong analytical, problem-solving approach – strong knowledge on various reinsurance is mustExperience in using RMS applications and / or AIR CAT model(s) is mustClear communicator, able to structure an argument and explain complex issues in a simple way – faster learning capabilitiesAdvanced knowledge in MS Office applications (Outlook, Word, Excel & PowerPoint) Willingness to work and handle multi tasking in a rapidly changing environment with some firm deadlinesShould have better SQL skills and understand the database schema – additional programming (R/VBA) is advantageAbility to work independently. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,12th/PUC/HSC

Job Summary: Support Finance and Risk practice in delivering Risk and Compliance strategy and solutions across geographies. Advise financial and non-financial Institutions across risk management areas such as risk strategy, transformation programs, enterprise risk, portfolio management, capability maturity assessments, fraud and financial crime risk compliance. Partner with global deal teams in selling, shaping and solution development of client deals by providing subject matter expertise on risk related topics. Shape thought capital around current and emerging risk management topics and contribute to development of company points-of-view on risk trends and issues. Support practice development through various activities such as staffing, quality management, capability development and knowledge management. Build strong relationships with global Risk Management teams, and develop existing relationships based on mutual benefit and synergies. Roles & Responsibilities: Ability to lead the design and delivery of strategy, business case analysis, transformation programs, technology enablement, with respect to enterprise risk, portfolio management, capability maturity assessments, and fraud & financial crime risk compliance programs Ability to build sales pipeline through business development and proposals Strong business acumen and knowledge of risk management process Ability to solve complex business problems and deliver client delight Strong writing skills to build point of views on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic consulting environment

Lead Quantitative Analytics Specialist ALM Modeling Balance sheet modeling IRRBB EVE FTP Deposit models Liquidity Risk models- Corporate Risk helps Wells Fargo businesses identify and manage risk. The team focuses on three key risk areas: credit risk, operational risk and market risk. As the company's second line of defense, Corporate Risk or Independent Risk Management provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo's risk management program and provides oversight, including challenges to and independent assessment of the frontline's execution of its risk management responsibilities. Corporate Risk roles depend on a variety of skills, viz. data analysis and synthesis, root cause analysis, change management, process management & execution, risk governance, risk strategy, risk identification & assessment, risk prevention, controls & mitigation, risk monitoring, reporting & escalation, risk systems & technology. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Risk Modeling Group (RMG) Forecasting: The team is responsible for development and delivery of models leveraged for Credit Risk, Compliance Risk, and Operational Risk. These include models for credit and pre-provision net revenue (PPNR) forecasting, and fair lending. Deposit & PPNR: This team within RMG (Risk Modeling Group) Forecasting is responsible for driving entire model life cycle (model development, monitoring & forecasting) of Wells Fargo deposit balance and yield. Deposit & PPNR team support Pre-Provision Net Revenue (PPNR) estimates including forecasting deposit balance & rate models to support ALM, FP&A, CCAR and Recovery and Resolution Planning. Team is responsible for the design, development, delivery, monitoring and forecasting of econometric forecasting models for Deposit (Interest Expense), Fees (Non-II) & Expense (Non-IE) components to support business planning and economically sensitive CCAR submission. Enhance Deposit modeling framework effectively ensuring consistency in modeling methodologies, Annual/Semi-Annual validations and Audit- tracking thereby ensuring controlled model risk Contribute to the banks balance sheet and income statement modeling methodologies in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE Responsible for steering stakeholder conversations of user review and model challenge sessions with Business, Finance, Treasury and Model Risk Management for signoffs on Champion & Challenger models Conduct econometric and statistical analysis of time series and panel data sets Knowledge on Python/R/SAS is must Knowledge on model life cycle (development, monitoring, implementation and forecasting) and its intricacies are good to have Should possess strong documentation capabilities which would effectively convey complex models and processes Communicate design and results of complex models to a variety of audiences, including senior management, bank supervisors, Model Governance, Internal Audit and LOB end users Coordinate with business partners, including forecasting teams, and end users to ensure accurate model usage and implementation Adhere to model validation governance to ensure models are following policy and are working as intended, address model validation and regulatory feedback issues Solving model development and model analytics/forecasting challenges in python with quick turn arounds Master's degree or higher in a quantitative field such as Statistics/Economics 5+ years of experience in Deposit & PPNR, Treasury Analytics , or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in Deposit balance sheet modeling and treasury/liquidity analytics in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE 5+ years of advanced programming expertise in SAS or Python or R Strong documentation and project management capabilities with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Excellent verbal, written, and interpersonal communication skills Perform various complex activities related to deposit balance sheet modeling Provide analytical support for development, remediation, monitoring, and production of Deposit & PPNR models Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance Identify opportunities and deliver process improvements, standardization, rationalization and automations Enhance and standardize performance analysis, reporting packages and business loss forecast processes Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of controls Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization

About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About the Role We are looking for a candidate with a strong academic record and industry experience in Natural catastrophe modelling for our Underwriting Advisory Team at Bangalore. This job offers you a chance to join the dynamic and fast paced world of a highly specialized financial services organization. You get in-depth exposure to Swiss Re s proprietary natural perils model platform and costing tools and to natural catastrophe reinsurance business from Swiss Res global client base. Depending upon your inclination and skills, over time you will have the opportunity to widen your roles in multiple areas. Position Summary Provide high quality Nat cat underwriting advisory to underwriting desks at Swiss Re which will include but not limited to Europe, Middle East and Africa. Your role would involve: You will support the analysis of Property treaty business across markets. This includes the reviewing of submission data providing data analysis & risk modelling of Nat Cat loss scenarios making the best use of SRs costing techniques to model / forecast and quantify the impact of contract features relevant to costing. Support in product & process innovation using the findings from underwriting support and suggest improvements to Nat cat models, tools, and systems. Collaborating with the underwriting community abroad and other business partners on various projects to generate new valuable services for Swiss Re. Establish & maintain positive relationships with internal partners. Identify & resolve service issues with internal clients /stakeholders, prepare statistical client/region specific reports and share input/solutions with internal business partners. About You/ Qualifications An advanced degree in the field of natural science or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas Proficient in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with minimum 2 to 5 years of relevant Underwriting experience Good understanding of underwriting techniques, methods, tools, and processes Ability to analyze large data sets, investigate complex connection and draw relevant conclusion. Expertise in R, Advance Excel (VBA), SQL and Power BI and inclination towards learning new technologies will be an added advantage. Strong motivation to learn about re/insurance and overseas markets Strong team-player with ability to collaborate with teams in other locations and cultures, along with strong sense of accountability and execution Excellent command of English (written and spoken). Other foreign language will be added advantage Above all: scientific and technological curiosity with the ability to bring new insights to constructively challenge the status quo. About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134074

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

This position is for a Manager with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk models (IRB, IFRS9, Custom Scorecards and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of sophisticated Regulatory and Scoring models and providing analytic support to Standard Chartered businesses across the globe. Key Responsibilities Competencies: Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Verbal/Written communication Presentation skills Highly motivated, organized and methodical Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e. g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Other Responsibilities Embed Here for good and Group s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role] Skills and Experience Credit Risk Modelling Qualifications Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline Good understanding of retail banking / small business / consumer finance products and business life-cycles (e. g. sales, underwriting, portfolio management, marketing, collections) 1-4 in-depth years experience in hands-on Statistical Modeling in credit risk for retail banking / small business / consumer finance portfolios Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis Hands-on experience in mining data and understanding data patterns Experience in directly interacting with Business and exposure to International markets will be a plus About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 30346

Develop QRA models for refinery, gas, and offshore assets. Analyze risk levels, recommend safeguards, and provide scenario-based input to leadership. Support risk visualization and improve enterprise QRA methodologies. Required Candidate profile Engineer with expertise in QRA development, risk modeling, and process safety. With strong analytical capabilities, understanding of risk mitigation, and exp in supporting high-stakes engg decisions.

Job summary Company Chase Co. (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase Co. is available at Company website. Chase Consumer Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize, and remediate risk. We are currently seeking an Applied ML AI Executive Director as the Head of Credit Card Collections Risk Modeling team . In this critical role you will be managing a team of applied machine learning modelers in multiple working locations who are responsible for developing and maintaining best-in-class credit risk models catering to the collections and recovery functions within Chase Card Services. You will be responsible for identifying business opportunities for applying suitable machine learning algorithms to develop ML models that enhance the effectiveness of credit loss control. Your expertise and thought leadership in big data platforms (Hadoop/Cloud) and advanced ML techniques, such as deep learning, reinforcement learning and graph ML will substantially influence the direction of the next generation of risk models. In this highly visible role, the successful candidate will demonstrate analytic leadership through business acumen, collaboration, and effective communication skills with senior management. Success in this role requires a strong foundation in machine learning and artificial intelligence, along with deep understanding of credit risk management. The candidate should have a proven ability to manage end-end ML/AI solutions, especially deploy ML models harnessing vast amounts of data and computation into distributed systems. Job responsibilities Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact. Design machine learning solutions to address business needs, including explainable machine learning models and reinforcement learning models Manage multiple model development projects Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle. Manage model risk and related governance and controls Synthesize the findings at various points through the model development process to share actionable insights with senior leadership and other stakeholders Drive constant innovations to drive sustained improvement in collections and recovery capabilities of the firm Required qualifications, capabilities, and skills Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Minimal 10-year of experience in developing and managing ML or predictive risk models in financial institutions Hand-on experience in developing and deploying real-time transaction models with massive data from various sources, internally and externally Developed ML/AI models in big data platform (Hadoop and Cloud) and deployed them into real-time scoring engines, such as mainframe, cloud or distributed computing systems Experience in developing and deploying commercial applications for machine learning that are interpretable Experience in open source programming languages for large scale data analysis such as Python / Scala / Java / PySpark Experience with supervised and unsupervised machine learning algorithms such as XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process Minimal 3-year experience managing a sizable team of data scientists/ modelers/ machine learning engineers Experience in managing a team in a dynamic environment of high mobility Polished and clear communications with senior management Proven leadership in client/stakeholder/partner relationship management and high-performance team development