106 Lgd Jobs

As a Risk Management Consultant, your role will involve solving analytically complex client problems in the Risk domain, particularly focusing on developing Credit Risk Scoring Models for clients in the financial sector. You will be leading modeling workstreams in client engagements, defining data requirements, cleaning, aggregating, analyzing data, and interpreting statistical modeling output. Additionally, you will provide expert advice to the consulting team on modeling related issues and support the development and maintenance of proprietary Risk management tools and other knowledge development projects. Key Responsibilities: - Solve analytically complex client problems in the Risk domai...

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytic...

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...

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...

Role & responsibilities - ECL: Calculation: To calculate ECL for LC, MM, MEG, SEG, SCF, DIG SCF, CMG-Insti, CMG Retail, Digital, Unsecured, Mortgage. Automation: To implement ECL Automation project using Python. Build and maintain ECL model and documentation: Development of Probability of Default models used in the computation of ECL for Company's (secured and unsecured) portfolios in accordance with Ind AS 109/IFRS 9 guidelines. Design, develop, test and validate statistical models for the entire product suite. Responsible for the documentation of PD, LGD models and the ECL Policy. Computation: Responsible for enhancing and developing the Internal Capital Adequacy Assessment Process (ICAAP)...

Role & responsibilities 6+ years of relevant exp in Wholesale or retail credit risk modeling (development or validation). BASEL, Internal rating based approach (IRB) mandatory; PD, LGD, EAD models. Retail scorecard model development / validation experience. About the Role The candidate should have masters degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modelling software (Python, R & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and hig...

Role & responsibilities 6+ years of relevant exp in Wholesale or retail credit risk modeling (development or validation). BASEL, Internal rating based approach (IRB) mandatory; PD, LGD, EAD models. Retail scorecard model development / validation experience. About the Role The candidate should have masters degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modelling software (Python, R & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and hig...

About the Role The candidate should have masters degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modelling software (‘R’ & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. The internal audit role would include the following as part of the day-to-day job: 1. Audit of model development and validation process within the Bank. 2. Updating risk and control matrix and check...

Position Purpose Manage BAU service delivery of team covering US Basel III regulatory reporting Deliver process improvement/ inefficiency. Create / run a strong control framework to make sure output delivered is accurate. Manage risk appropriately for the Regulatory reporting team, including BCP, attrition etc., Contribute to transformation projects on Regulatory Reporting stream Responsibilities Direct Responsibilities Ensure awareness of US Basel III regulations and updates Maintain a thorough understanding of US Basel III capital requirements and regulatory reporting requirements Ensure preparation and execution of close process for RWA and Regulatory capital production and effective comm...

JD- at we look for: Expertise in Big Data/ML: - Should be able to build cutting edge credit/churn/usage models using advanced algorithms in a Big data/Machine Learning environment. - Should have hands on experience and track record of delivering projects in individual capacity. - Process oriented: Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements. - Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. We're looking for someone who is not afraid to t...

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...

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...

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytic...

Please Note: ========== One of our Gulf client is looking for Credit Risk Analyst in their financial department. Spectrum Consulting is acting as Recruitment Services company for this position. You can email your CV directly to: spectrumconsulting1977@gmail.com ========== Job Title: Credit Risk Analyst Onsite Job Location: Dubai - UAE Doha - Qatar Riyadh - Saudi Arabia Onsite Monthly Salary: 15k to 20k AED [ Depending on Experience ] , Full Tax free Salary Gulf Work permit & visa will be sponsored by the company Offshore Job Location: Mumbai Bangalore Hyderabad Offshore India Annual CTC: INR. 15 LPA to 40 LPA (Depending on Experience) No. of positions: 03 Project Duration: 24 Months Experien...

Interested candidates please share your resume to pavithra.n@gomoder.com Job Summary: We are looking for a quantitative professional to develop and validate advanced credit and liquidity risk modelsincluding PD, LGD, EAD, NII, EVE modelsensuring both robust model design and rigorous independent review. This role requires experience in model development and validation, with strong programming, data analysis, and regulatory knowledge. Key Responsibilities: Design, build, and implement credit and liquidity risk models using advanced quantitative techniques (e.g., linear, logistic regression, decision trees, survival analysis, time series, supervisory and un-supervisory techniques). Independentl...

Dear Candidate, Greetings for the Day !!! We are Hiring for below Positions. Please find below attached Job Description. Job Description : Designation: Data Analyst / LGD Model Developer Experience: 3+ Years Notice Period: immediate to 15 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode : 1 St Level is online, 2 nd Level is F2F. Work Location: Ameerpet, Hyd. Description : We are seeking a highly motivated and technically skilled LGD Model Developer to support our CECL and CCAR initiatives. The successful candidate will be responsible for developing, maintaining, and validating loss given default (LGD) models for retail and wholesale portfolios, ensuring compliance with regu...

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytic...

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...

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...

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...

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...

Role & responsibilities Develop, implement, and enhance credit risk models using SAS, Python, and SQL . Perform in-depth risk analysis to generate actionable insights for business decision-making. Work with large and complex datasets, ensuring data accuracy, consistency, and quality for model development and reporting. Collaborate with cross-functional stakeholders, translating complex technical concepts into clear and concise business insights. Support regulatory compliance and internal risk reporting Preferred candidate profile Strong hands-on expertise in SAS, SQL, and Python . Solid understanding of Credit Risk / Risk Analytics concepts. Strong problem-solving and analytical thinking ski...

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...

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...

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Generative AI Good to have skills : Machine LearningMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and...