207 Risk Modeling Jobs

Model Validation (Credit risk/ Market risk) We are hiring for a leading Financial KPO organization based at Bangalore/Gurugram/ Kolkatta Position : Experience : 8-10 yrs in experience in model validation/ development, quantitative modelling Strong understanding of model risk, validation frameworks, and regulatory requirements. Strong technical skills in python for model development. Education : B.tech/ Masters / MBA - in Economics, Mathematics, Statistics, Finance, Computer science Role & Responsibilities : Responsible for being validator for a wide range of models like IRRBB, credit risk, market risk, counterparty credit risk, fraud detection, Stress Testing, AML and forecasting models Working with independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines. Exhaustive model validation will include conceptual assessment of models use, method, assumptions, limitations and on-going monitoring and control, models outcome analysis. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Good understanding of vanilla and exotic derivatives in all asset classes, and their impact on various market risk (VaR, SVaR, FRTB SBM, DRC and RRAO) and CCR components. Thorough understanding of stochastic processes and their models, stochastic volatility models, yield curve models Good understanding of conventions of various markets like treasury, fixed income, equities, commodities etc.

Sound domain knowledge on Performance Management, Liquidity Risk Management, Profitability, Capital Adequacy, IFRS9, BASEL, Credit Risk Management. Experience in Risk Modelling (PD, LGD, EAD etc), Asset Liability Management, Funds Transfer Pricing, Balance Sheet. Experience as a Business Analyst in implementing OFSAA EPM, ERM (ALM, LRM, LLFP-IFRS9, FTP, PFT, BASEL, IFRS9.

Role accountabilities: Traffic (Economic) Analysis & Project Management Manage comprehensive Traffic analysis projects including revenue forecasting, financial modeling, and infrastructure economic studies Coordinate multi-disciplinary teams to ensure seamless project delivery and adherence to quality standards Lead economic feasibility study management from initiation through completion Develop and oversee financial modeling and revenue forecasting initiatives Conduct risk-return analysis and sensitivity testing for infrastructure investments Leadership & Stakeholder Management Lead project teams and coordinate with external stake holders including Clients and financial institutions Interface directly with client finance teams to ensure alignment with business objectives Manage complex economic projects while maintaining accountability for delivery quality and financial model accuracy Facilitate cross-practice collaboration with Traffic Engineering and other technical disciplines Technical Excellence & Quality Assurance Validate economic models and provide approval for financial assumptions, revenue projections, and methodology Ensure client financial presentation accuracy and professional delivery Maintain economic analysis quality assurance standards across all project deliverables Support financial advisory business development initiatives Qualifications & Experience: Master's degree in Traffic Engineering/Planning, Economics or related field 8-12 years of progressive experience in economic analysis and project management Proven track record in infrastructure economic studies and financial modeling Technical Competencies (Advanced Level Required) Financial Modeling: Expert proficiency in DCF, NPV, and economic analysis techniques Economic Analysis: Advanced skills in traffic/revenue forecasting and risk modeling Risk Assessment: Comprehensive understanding of risk-return analysis methodologies Mapping and Spreadsheet: Should possess advanced knowledge in mapping (e.g. QGIS) and MS Excel on Data analytics along with basic understanding in Programming. Operational Competencies (Advanced Level Required) Project Management: Demonstrated ability to manage complex economic projects Financial Reporting: Expert-level financial communication and presentation skills Due Diligence: Advanced experience in due diligence processes and delivery

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.

locationsPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0004722 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.

Job Title Risk and Compliance- Senior Manager - S&C GN-CFO&EV Management Level:06 Senior Manager Location:Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills:Risk modelling Good to have skills:Credit risk, Market risk, Liquidity risk Experience:11-15 years Educational Qualification:MBA(Finance) or CA or CMA Job Summary : Support Accenture's CFO EV 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 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: 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 Professional & Technical Skills: MBA from Tier-1 B-schools with specialization in risk management 11-15 years of risk management experience at one or more financial services institutions, rating agency or professional services 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. Hands-on experience in developing risk registers, conducting RCSAs, defining KRIs for risk management and control indicators, Risk Scenario Library & Analysis Experience in managing financial crime and compliance with a focus on fraud risk management, compliance analytics, enterprise risk management (financial services and non-financial services), data analysis & aggregation, trade surveillance, robotic process automation 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 Exposure to working in globally distributed workforce environment, both onshore and offshore 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 that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Qualification MBA from Tier-1 B-schools with specialization in risk management 11-15 years of risk management experience at one or more financial services institutions, rating agency or professional services 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. Hands-on experience in developing risk registers, conducting RCSAs, defining KRIs for risk management and control indicators, Risk Scenario Library & Analysis Experience in managing financial crime and compliance with a focus on fraud risk management, compliance analytics, enterprise risk management (financial services and non-financial services), data analysis & aggregation, trade surveillance, robotic process automation 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 Exposure to working in globally distributed workforce environment, both onshore and offshore Industry certifications such as FRM, PRM, CFA preferred Location - Mumbai,Gurgaon, Mumbai, Bangalore

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

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ 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 5+ 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.

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 :/Gurugram/Bangalore/Pune 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.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad 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.

Sound domain knowledge on Performance Management, Liquidity Risk Management, Profitability, Capital Adequacy, IFRS9, BASEL, Credit Risk Management. Experience in Risk Modelling (PD, LGD, EAD etc), Asset Liability Management, Funds Transfer Pricing, Balance Sheet. Experience as a Business Analyst in implementing OFSAA EPM, ERM (ALM, LRM, LLFP-IFRS9, FTP, PFT, BASEL, IFRS9.

CAT Modelling 2+ Yrs exp Cat modelling Upto 7LPA Immediate Joiners to 30 Days Flexible with Shifts Cat Modeling expertise in RMS RiskLink/AIR Touchstone,SQL, MS-Office Word, Excel and Access Karishma.imaginator@gmail.com Required Candidate profile preparing exposure data for multiple lines of businessData cleansing, enhancing and analysis of COPE information Working on complex and large datasets using MS-Exce good communication skills

6+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability to create risk frameworks, use decision trees and come up with right recommendations and insights Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress

Senior Data Scientist (AI/ML Developer) About the Company: Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is the place for someone thats passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: As a Senior Data Scientist, you will lead and deliver high-impact projects in credit and fraud risk analytics. You will design, develop, and deploy advanced ML/statistical models and scorecards, mentor junior team members, and work directly with clients to translate business challenges into data-driven solutions. Responsibilities & Requirements: - 3-7 years of experience in AI/ML or data science roles with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Strong proficiency in Python and SQL with proven experience in handling large datasets. - Strong track record of building and deploying ML/statistical models or scorecards. - Ability to interact with clients and translate business problems into AI/ML frameworks - Leadership skills: Mentoring junior team members and driving projects independently Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Data Scientist (AI/ML Developer) About the Company: - Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. - We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is 'the place' for someone that's passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: We are looking for a Data Scientist (AI/ML Developer) to join our Bangalore or Mumbai team. The role focuses on credit and fraud risk analytics within the retail banking space. - You will design, develop, and implement machine learning models, statistical models, and scorecards that drive smarter decision-making for financial institutions. Responsibilities & Requirements: - Up to 3 years of AI/ML/ data science experience with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation - B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Solid proficiency in Python and SQL; experience in handling large datasets. - Hands-on experience in building and deploying ML/statistical models or scorecards. - Ability to translate business problems into AI/ML frameworks. - Strong analytical, problem-solving, and communication skills. Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Collaborative work environment and mentorship from experienced colleagues. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Model Validation (Credit risk/ Market risk) We are hiring for a leading Financial KPO organization based at Bangalore/Gurugram/ Kolkatta Position : Experience : 3-8 yrs in experience in model validation/ development, quantitative modelling Strong understanding of model risk, validation frameworks, and regulatory requirements. Strong technical skills in python for model development. Education : B.tech/ Masters / MBA - in Economics, Mathematics, Statistics, Finance, Computer science Role & Responsibilities : Responsible for being validator for a wide range of models like IRRBB, credit risk, market risk, counterparty credit risk, fraud detection, Stress Testing, AML and forecasting models Working with independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines. Exhaustive model validation will include conceptual assessment of models use, method, assumptions, limitations and on-going monitoring and control, models outcome analysis. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Good understanding of vanilla and exotic derivatives in all asset classes, and their impact on various market risk (VaR, SVaR, FRTB SBM, DRC and RRAO) and CCR components. Thorough understanding of stochastic processes and their models, stochastic volatility models, yield curve models Good understanding of conventions of various markets like treasury, fixed income, equities, commodities etc.

Be responsible for the comprehensive oversight and delivery of service, connecting multiple partner teams to deliver a cohesive client experience Build strong relationships with clients teams such as Head of Risk, Head of Fixed Income desk, Head of Compliance and Head of Platform management Mobilize Aladdin s suite of risk modeling, trade, compliance, and post-trade capabilities to deliver outstanding solutions for our clients to exceed their organizations goals Work with support team representatives to analyze service patterns and themes Oversee ongoing client engagement through regular meetings to review service metrics, prioritize projects and align long term strategy Improve aspects of service by identifying root causes of systemic issues and solving them at scale We have: The feel of a start-up with the backing of the world s largest asset manager A diverse environment with professional growth opportunities and a welcoming employee culture Sophisticated clients who call on our expertise to achieve strategic and tactical objectives ranging from streamlining workflows to implementing creative and innovative solutions A flexible work culture You have: A working understanding of equity, fixed income, alternatives, and derivative markets and analytics or compliance, trading, and operations with experience in advising clients and/or adapting technology solutions for portfolio strategies, portfolio optimization, risk assessments, and performance attribution or post-trade workflows A consultative approach to understanding client needs and a passion for solving problems Ability to run multiple priorities Superior interpersonal, communication and presentation skills, conveying complex concepts simply and clearly to clients Business fluent in English You may have: Direct portfolio / risk management, trading, compliance, or operations analyst experience Proficiency in working with large sets of data A solid understanding of SQL, UNIX, VBA, R, Python, or similar tools, and/or Aladdin

Must have- Credit Risk Model Development (CCAR/IFRS9/PD/LGDEAD/CCAR/DFAST/CECL) Edu- MBA ShiftS- 11:30am- 8pm Location- Bangalore | 5 Days WFO 2-5 yrs- 27LPA 5-8 yrs- 35LPA NP: Imm- 30 Days Please drop cv on rashibimaginators@gmail.com or 9027310680 Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred.

Credit Risk Expert with exp. in Model Development (IFRS9/IRB/CCAR/CECL) Exp=2-5 YRS, PKG Upto-25 LPA Exp-5-8YRS, PKG Upto-33 LPA (Hike depends on last fixed package) Loc-Bangalore Notice period-30-60 Days Send CV: riya.imaginators@gmail.com Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred. Send CV:

Exp: Credit Risk Model Development mandatory Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Bangalore | 5 Days WFO(ODC Set-up) Salary: Depends on last drawn NP: 30Days or Immediate Joiners Cv on karishma.imaginators@gmail.com Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred.

Credit Risk Model Development mandatory Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Bangalore | 5 Days WFO(ODC Set-up) Salary: Depends on last drawn NP: 30 Days or Immediate Joiners anushika.imaginators@gmail.com 9211073262 Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred.

Exp: Credit Risk Model Development mandatory Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Bangalore | 5 Days WFO(ODC Set-up) Salary: Depends on last drawn NP: 30Days or Immediate Joiners Please drop cv on supreetbakshi@imaginators.co Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred.

Salary : 45 to 60LPA Exp: 12 to 20 years Location : Remote Notice: Immediate to 30 days..!! Roles & responsibilities: 10+ 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 5+ 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.