16 Cecl Jobs

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

We are seeking a highly skilled and motivated CCAR/CECL Modeler to join our team. In this role, you will develop and deploy regulatory models used for regulatory reporting and financial forecasting. The ideal candidate should have expertise in statistical modeling, data analysis, and financial risk assessment, with a strong emphasis on understanding CCAR and CECL requirements. Responsibilities: Conducting specific aspects of the model development life cycle, which involves data acquisition, assessing data integrity, model development, documentation, and implementation assistance. Obtain, clean, and verify data used in model development, ensuring data integrity and quality. Design, develop, test, and validate statistical models for forecasting credit losses and assessing portfolio risk Provide comprehensive documentation for models and present findings to stakeholders Qualifications: 3-5+ years of experience in analytics, preferably in Banking and Financial Services. Hands-on experience working on regulatory models. Proficient in various statistical techniques, including regression, time series analysis. Understanding of credit risk, portfolio risk, and regulatory frameworks (e.g., CCAR, CECL). Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Proficiency in programming languages such as Python Strong communication skills, both written and verbal, with the ability to convey complex ideas to stakeholders.

We are looking for a highly skilled and experienced Field Risk Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-5 years of experience in the BFSI industry. Roles and Responsibility Conduct risk assessments and evaluations to identify potential threats to the organization. Develop and implement strategies to mitigate risks and ensure compliance with regulatory requirements. Collaborate with cross-functional teams to monitor and manage risk exposure. Analyze market trends and competitor activity to inform risk management decisions. Provide expert guidance on risk management best practices to stakeholders. Identify and report on key performance indicators (KPIs) related to risk management. Job Requirements Strong understanding of risk management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment and prioritize multiple tasks. Strong communication and interpersonal skills. Experience working with financial institutions or similar organizations. Knowledge of relevant regulations and standards, such as Basel II or CCAR/CECL. Additional Info The company offers a competitive salary and benefits package.

Job Description: Understanding of Basel Framework, PD, EAD, LGD and Regulatory Capital. Proficiency in SAS and Python for Model Development Good Understanding of Regulations and has experience of IRB Model Development Good understanding of retail credit risk products and their key variables.

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

Lead Quantitative Analytics Specialist ALM Modeling Balance sheet modeling IRRBB EVE FTP Deposit models Liquidity Risk models About this role: Wells Fargo is seeking a Lead Quantitative Analytics Specialist. 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

Role Competencies - Experienced in development of credit risk models for BASEL reporting, PD, LGD, EAD and/ stress testing or should be well versed with understanding of these concepts Skilled in development of internal and external risk models by computing standard metrics Skilled in developing and analyzing product-specific solutions within banking domain varying across underwriting/monitoring loan portfolios, developing collections scorecards, loss forecasting amongst others Ability to work with key stakeholders across businesses, client portfolio teams to derive insights and calibrate model performance Ability to present the findings of the analysis to stakeholders and hold presentations for a larger audience Ability to drive discussions with the stakeholders and present the findings / summary of the project activities

As a Portfolio Risk - Cards CCAR Model Development Associate within the Portfolio Risk Modeling team, you will have the opportunity to support and develop regulatory models, execute and prepare model surveillance, and provide insights for various regulatory requirements. You will use your expertise in performance assessment methods and metrics for various types of risk models used in portfolio Risk, regulatory modeling, and forecasting methods. You will be responsible for the development of stress test models as part of the annual CCAR/CECL exercise. This role will allow you to utilize your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries. Job Responsibilities: Design, develop, test, and validate statistical models for Cards’ Unsecured Lending portfolio risk forecast and model performance monitoring Utilizing graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, Survival Hazard Rate Models etc. Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting Process, cleanse, and verify the integrity of data used for analysis Perform deep dive analysis to address ad hoc inquiries Required qualifications, capabilities, and skills MS, Engineering or PhD degree in a quantitative discipline Minimum 6+ years of hands-on work and research experience of advanced analytical skills in the areas of statistical modeling and data mining Proficiency in advanced analytical languages such as SAS, R, Python, PySpark Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata Ability to deliver high-quality results under tight deadlines Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)

Function: BCM Data & Advanced Analytics With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Manager/ Assistant Manager, Behavioral Modeler (Development/Validation) In this role, you will be responsible for Development or Validation of Behavioral Models (models in the area of Financial Crime like Fraud or AML, Marketing Campaigns, Adjudication models etc.) for banking and financial institutions. Responsibilities also include staying abreast on modeling policies, crafting whitepapers, and preparing artifacts for model development and validation. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Behavioral Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps. Conducting in-depth research on existing and emerging policies related to behavioral modeling and contributing to the creation of whitepapers. Researching and contributing to artifacts creation as required in a consulting role. Qualifications we seek in you! Minimum qualifications Experience in developing, validating models and risk management of behavioral models (preferably in financial crime like AML or Fraud models, additional expertise in marketing campaign models or adjudication models using machine learning techniques are preferred) Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models Statistical modeling experience including regression, time series, Markov TPM, survival techniques etc. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Strong scripting and automation experience using SAS/Python/R etc. Master’s degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Preferred qualifications Strong networking, negotiation and influencing skills. Prior experience in financial crime, machine learning models

Location -Gurgaon Time 1 pm to 10pm Both sides cab available Looking for candidate who can develop models related to credit Risk Model, FICO Model. Ensure models are accurately tuned and meet regulatory and business requirements. Prepare detailed reports and presentations on fraud trends, model performance, and recommendations for improvement. Communicate findings to stakeholders and senior management effectively. Create and maintain comprehensive Model Development Reports (MDRs) summarizing validation activities, methodologies, and results. Conduct thorough assessments of financial crime models to identify strengths, weaknesses, and areas for improvement. Perform detailed data analysis to evaluate the accuracy and reliability of fraud-related findings. Identify any discrepancies or anomalies in the data provided by financial crime vendors. Ensure all documentation adheres to regulatory and organizational standards. Collaborate with model development, and compliance teams to address any concerns or issues identified during the validation process. Stay abreast of industry best practices and regulatory changes related to credit reporting and scoring Bachelors/ masters degree in Statistics, Economics or a related field (FRM is a plus). 1 -5 years of experience in Model validation and monitoring of Fraud/Financial crime models. Familiarity with fraud detection systems and vendors such as FICO, VISA and STAR is a plus. Hands-on experience in programming languages like SQL, Python and advanced excel. Excellent communication and interpersonal skills. Please share your profile at jyoti.gupta@nlbtech.in

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 organization (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) in the organization. This involves stress testing of risk in excess of the Pillar 1 requirement including credit risk, liquidity risk, IRBB, operational risk and strategic risk. Model Development: Development of stress testing models in compliance with the regulatory guidelines. Documentation Responsible for the documentation of ICAAP. Risk Appetite Statement/Enterprise Risk: Computation of various risk types on the basis on key risk metrics. Aggregate the various risk types to compute an Enterprise Risk score. Build Model and maintain documentation and track necessary deliverables 3. VAR: Model Development: Design, develop and test VAR Models. Model Validation: Perform Back-testing and sensitivity analysis of VAR model. Documentation: Prepare and maintain documentation for the VAR mode 4. Sensitivity Analysis on various portfolio cuts: Statutory/Internal Audit: To support Audit closure for LC, MM, MEG, SEG, SCF, DIG SCF, CMG-Insti, CMG Retail, Digital, Unsecured, Mortgage. RBI Audit: To help in closing RBI audit.

About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist. In this role, you will: Perform highly complex activities related to creation, implementation, and documentation Use highly complex statistical theory to quantify, analyze and manage markets Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives Utilize structured securities and provide expertise on theory and mathematics behind the data Manage market, credit, and operational risks to forecast losses and compute capital requirements Participate in the discussion related to analytical strategies, modeling and forecasting methods Identify structure to influence global assessments, inclusive of technical, audit and market perspectives Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills Required Qualifications: 4+ 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: Experience in at least few of the listed domains - CCAR Stress testing, CECL, IFRS9, RRP, FCM, Basel Models, SR 15-18 and SR 11-7 guidelines First-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, differential equations, linear algebra, applied probability, and statistics Excellent command over supervised, unsupervised and semi-supervised techniques (e.g., Ensemble methods; Boosting algorithms; Statistical models like OLS, Logistic, Ridge, Lasso; Time-series techniques like ARIMAX, Error correction models, ARCH, GARCH) Excellent programing skills in Python, SQL and basic use of SAS. Job Expectations: Support model development activities, including but not limited to data analytics, segmentation, model estimation, testing and documentation for retail unsecured loss forecasting and PPNR models covering both revolving as well as close-ended products (e.g., cards, term loans, lines etc.) Use statistical modelling theories and business knowledge to assess risk, quantify losses and support computation of capital requirements Write efficient codes related to modelling processes including but not limited to data cleaning, analytics, model estimation, and scoring Support model validation and audit exams Collaborate and consult with senior business leaders and modelling managers to help deliver effective and efficient modelling solutions

Min exp 3 yrs in credit risk model development, validation, monitoring Should have worked ifrs 9 or IRB models Budget upto 41 lpa Call on 7042331616 or drop CV on supreet.imaginators@gmail.com

Please Note* This is a Model Monitoring Role not Model Validation or Model Development . In this role, you will: Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives Advise and guide team on moderately complex model optimization and processes strategies Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Required Qualifications: 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 4+ years advanced programming exposure in SAS/Python including SQL 4+ years of process definition and documentation experience in credit risk modeling/BASEL modeling Good knowledge and hands on experience in logistic regression modeling Understanding of model estimation parameters, back testing Good knowledge and hands on experience in Excel forecasting, formulae Job Expectations: Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Understanding of bank regulatory data sets and other industry data sources Exposure to commercial banking products and modeling in this area Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization Ability to research and report on a variety of issues using problem solving skills Ability to interact with integrity and a high level of professionalism with all levels of team members and management Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment

Location -Gurgaon Time 1 pm to 10pm Both sides cab available Please share your cv at surbhi.malhotra@nlbtech.com Document and validate fraud detection models from various vendors, including but not limited FICO, VISA and STAR. Ensure models are accurately tuned and meet regulatory and business requirements. Prepare detailed reports and presentations on fraud trends, model performance, and recommendations for improvement. Communicate findings to stakeholders and senior management effectively. Create and maintain comprehensive Model Development Reports (MDRs) summarizing validation activities, methodologies, and results. Conduct thorough assessments of financial crime models to identify strengths, weaknesses, and areas for improvement. Perform detailed data analysis to evaluate the accuracy and reliability of fraud-related findings. Identify any discrepancies or anomalies in the data provided by financial crime vendors. Ensure all documentation adheres to regulatory and organizational standards. Collaborate with model development, and compliance teams to address any concerns or issues identified during the validation process. Stay abreast of industry best practices and regulatory changes related to credit reporting and scoring Please share your surbhi.malhotra@nlbtech.com Bachelors/ masters degree in Statistics, Economics or a related field (FRM is a plus). 1 -5 years of experience in Model validation and monitoring of Fraud/Financial crime models. Familiarity with fraud detection systems and vendors such as FICO, VISA and STAR is a plus. Hands-on experience in programming languages like SQL, Python and advanced excel. Excellent communication and interpersonal skills. Please share your profile at surbhi.malhotra@nlbtech.com

- We are hiring for a leading Investment bank based at Mumbai - Experience : 3-6 yrs in Model Development for financial Services with good SAS/ SQL & Python programming skills - Education :Masters / MBA ; in Economics, Mathematics, Statistics, Finance, Computer science From Tier 1 with good knowledge in CCAR / Credit risk Models Role & Responsibilities : - Develop credit risk models/CCAR models - Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes - Manage the model life-cycle from first-line of defense perspective and participate in Segmentation - Involved Risk Identification, overlay discussions with Businesses and Finance teams. - Responsible for understanding changes to quantitative requirements published by MRM in Model Testing Guidance and presenting the key changes to senior model development leads - Contribute to model convergence initiatives as part of firms Transformation journey for different businesses. -Responsible to explain model results to front-office