59 Scorecard Jobs - Page 2

Roles and Responsibilities Review and Analysis of historical loan data to understand the pattern from default point of view Experience in NBFC /Housing Loan or Wheels underwriting and Risk Monitoring. Experience in Process/ Policy drafting. Apply statistical tool to analyse the pattern and come with detailed assessment Review and Prepare risk dashboard for management which shows all important risk parameters Develop rating model/scorecard for various retail and corporate loans based on historical data Testing of scorecard/model on a regular basis and update Coordinate with various stakeholder for the rating model implementation Prepare and maintain database of loan product from risk assessment point of view Ensure data is correctly captured in the system and coordinate with different team to fix the issue Coordinate with IT team for the automation of credit approval process Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption Manage a small team to monitor the performance of the asset portfolio Provide regular inputs for risk analytics and detailed data points impacting portfolio quality Coordinate with IT team for various project i.e. NPA, Perfios, Scorecard etc. Preparation of Bank wide Risk Dashboard to reflect Risk trend of the Bank Relevant Experience: Overall 8 + plus years of experience in Banking (preferably Risk). Technical Competencies: Good understanding of Credit risk related jargons like balance sheet, income statements, asset inventory statements Good understanding of various regulatory reports of credit risks Good command of Excel, SQL, etc. Analytical skills as well as a thorough understanding of banking laws, regulation, and policies and the ability to apply and explain complex regulatory, financial, and analytical concepts Interested candidate can share their resume on adarsh.pandey@utkarsh.bank

Model Monitoring/Model Validation EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Home EXL Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others Role Details : We are seeking a strong credit risk model professional with experience in model monitoring, validation, implementation and maintenance of regulatory models. Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Training, coaching and development of team members Qualifications: Previous experience (2+ years) in analytics, preferably in BFSI Good knowledge in General Analytics, Fraud Analytics Past experience in problem solving roles, strategic initiatives Good problem-solving skills

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 Analytics, Credit risk . Strong proficiency in tools like SQL, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Sr Power BI Developer1 Power BI Sr Developer Overall Experience 5+ years of experience in MSBI Product suite (Power BI and DAX) Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful insights in Power BI and has worked in SSIS Experience in requirement analysis, design and prototypingExperience in building enterprise models using Power BI desktop.Strong understanding of Power BI ApplicationDevelop data models, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle. Documentation of source-to-target mappings, data dictionaries, and database design. Identify areas of improvement to optimize data flows.Good Exposure to DAX queries in Power BI desktop.Creation of Power BI dashboard , report , KPI scorecard and transforming the manual reports, support Power BI dashboard deployment.Strong exposure to Visualization , transformation, data analysis and formatting skills.Connecting to data sources, importing data and transforming data for Business Intelligence.Experience in publishing and scheduling Power BI reportsArchitect and develop data models, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle.Documentation of source-to-target mappings, data dictionaries, and database design.Identify areas of improvement to optimize data flows.Installation and Administration of Microsoft SQL Server.Support business development efforts (proposals and client presentations).Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage. Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.Excellent leadership and interpersonal skills.Eager to contribute in a team-oriented environment.Strong prioritization and multi-tasking skills with a track record of meeting deadlines.Ability to be creative and analytical in a problem-solving environment.Effective verbal and written communication skills.Adaptable to new environments, people, technologies, and processesAbility to manage ambiguity and solve undefined problems

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Business Intelligence & Analytics (BI&A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market & Services leadership. The Analytics and Modeling Senior Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. What are we looking for QUALIFICATIONSAny graduate degree (or equivalent) required, full time MBA preferred4 6 years of post-education experience, with at least 4-5 years of relevant experienceStrong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BIStrong Knowledge of SQL, SSRS, Access, VBA will be highly preferredTOP REQUIRED BEHAVIORS AND SPreferably handled projects in the areas of data visualization and analyticsGood understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platformsAbility to multitask to meet deadlines and quality expectations Analytical/problem solving skillsAccuracy and attention to detail; prioritizes and plans work activitiesGood communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholdersExperience in handling global clients preferredWilling to go the extra mile for the team when requiredAbility to work under minimal supervision and guidanceWillingness to learn and deliver with a positive attitude Roles and Responsibilities: ACCOUNTABILITIESBusiness operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadershipData VisualizationReporting & AnalyticsDriving adoption of Standard Accenture toolsWorking in an agile way on demand change request, real time support for ad hoc reporting requestsRESPONSIBILITIESAct as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvementsProvide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysisUse latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to businessIdentify process improvement opportunities to develop effective business solutionsDevelop process documentation, communications, and reports required to support leadershipFoster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomesBuild functional and technical skills foundationParticipate and contribute to regular team discussions and process improvement initiativesTake responsibility for personal skill development and career management Qualification Any Graduation

Evaluate model development data quality, methodology Perform proper documentation Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Required Candidate profile 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services/banking hands-on and proven experience utilizing Python, Spark , SAS, SQL,

- Supported credit policy design & process improvement - Developed risk scorecards with Policy team - Implement key risk metrics & benchmarking - Set up early warning signals with Collections - Collaborate with lenders & bureaus to enrich data Health insurance Provident fund

Positions Available:- Recruitment Manager-IT Prior US Staffing/US Recruitment experience in IT domain will be considered Role & responsibilities Assign requirements as soon as they come in from the MSP/VMS/Direct Clients. Work with Leads and Recruiter to get the requirements assigned as they come out of the system. Read the job description before assigning. Highlight the required skills for the job before sending it to the recruiter. If not enough info on the requirement or the rates are not appropriate, or any details are missing then work with the Account Manager to get additional info for the recruiting team. Analyze the availability of recruiters, check to confirm availability with the Recruiting Manager and assign the requirements to the available recruiters. Ensures requirements are assigned ASAP without any delay. Make sure submissions are made within 24 hours of the requirements being assigned or in lesser time for HOT reqs. Follows up with recruiters on submissions/updates. Quality checks of the resumes before submissions Accepts and rejects requirements in the system (VMS) Communicate all heads-up requirements from the Account Managers to the recruiting team. Liaison between Account Manager and Recruiting team members. Daily report generation on performance. Make recommendations and come up with strategies on how to improve delivery as well as our numbers on those clients. Make sure all the submittals follow and maintains client policies, procedures and guidelines. Auditing submissions as well as all activities around the assigned clients Monitor and follow up on all emails and other documents as well as communication on the clients assigned. Keeps track of interview notification emails and ensure AM's are sending interview requests on all candidates. Ensures offers are closed and sent out accurately and within time. Preferred candidate profile Prior recent US Staffing experience is mandatory at least 7-10 Years Perks and benefits Competitive Base Salary Lucrative Incentive Structure Rewards & Recognition KINDLY SHARE YOUR UPDATED CV TO anu@iconma.com; Call me on 7985915705 FOR MORE DETAILS. Anu Sharma Lead-TA-HR ICONMA LLC

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: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, 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 Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

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.

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

Roles and Responsibilities Develop and maintain credit risk models using statistical modeling techniques such as logistic regression, predictive modeling, scorecards, etc. Collaborate with stakeholders to identify business requirements and develop data-driven solutions for credit risk analysis. Design and implement operational analytics frameworks to support decision-making processes. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in large datasets. Provide insights on portfolio performance by analyzing historical data and making recommendations for improvement. Desired Candidate Profile 5-10 years of experience in Credit Risk Analysis & Modeling or related field. Strong background in statistics with expertise in financial analytics, collection analytics, HR analytics, marketing analytics. Proficiency in programming languages like SAS/SQL/Python; knowledge of statistical algorithms is essential.

Candidate should be well versed in Power BI -Advanced Concepts (RLS, Incremental refresh), Power BI Services, Power Automate, Power Apps, Experience & knowledge on Power BI premium license. Ideal candidate should have at least 5 years of experience in building complex power BI dashboards and should have ability to Power BI service-related activities. Developing visual reports, dashboards, and KPI scorecards using Power BI desktop. Knowledge on Connecting multiple data sources, importing data, and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Extensive experience with M and DAX functions. Able to implement row-level security on data and understand application security layer models in Power BI. Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets.

Job Information Job Opening ID ZR_2158_JOB Date Opened 14/03/2024 Industry Technology Job Type Work Experience 6-10 years Job Title Power BI Developer City Bangalore Province Karnataka Country India Postal Code 560004 Number of Positions 10 Candidate should be well versed in Power BI -Advanced Concepts (RLS, Incremental refresh), Power BI Services, Power Automate, Power Apps, Experience & knowledge on Power BI premium license. Ideal candidate should have at least 5 years of experience in building complex power BI dashboards and should have ability to Power BI service-related activities. Developing visual reports, dashboards, and KPI scorecards using Power BI desktop. Knowledge on Connecting multiple data sources, importing data, and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Extensive experience with M and DAX functions. Able to implement row-level security on data and understand application security layer models in Power BI. Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Positions Available:- Recruitment Manager-IT Prior US Staffing/US Recruitment experience in IT domain will be considered Role & responsibilities Assign requirements as soon as they come in from the VMS. Work with RM and Recruiter to get the requirements assigned as they come out of the system. Read the job description before assigning. Highlight the required skills for the job before sending it to the recruiter. If not enough info on the requirement or the rates are not appropriate, or any details are missing then work with the Account Manager to get additional info for the recruiting team. Analyze the availability of recruiters, check to confirm availability with the Recruiting Manager and assign the requirements to the available recruiters. Ensures requirements are assigned ASAP without any delay. Make sure submissions are made within 24 hours of the requirements being assigned or in lesser time for HOT reqs. Follows up with recruiters on submissions/updates. Quality checks of the resumes before submissions Accepts and rejects requirements in the system (VMS) Communicate all heads-up requirements from the Account Managers to the recruiting team. Liaison between Account Manager and Recruiting team members. Daily report generation on performance. Make recommendations and come up with strategies on how to improve delivery as well as our numbers on those clients. Make sure all the submittals follow and maintains client policies, procedures and guidelines. Auditing submissions as well as all activities around the assigned clients Monitor and follow up on all emails and other documents as well as communication on the clients assigned. Keeps track of interview notification emails and ensure AM's are sending interview requests on all candidates. Ensures offers are closed and sent out accurately and within time. Preferred candidate profile Prior recent US Staffing experience is mandatory at least 7-10 Years Perks and benefits Competitive Base Salary Lucrative Incentive Structure Rewards & Recognition KINDLY SHARE YOUR UPDATED CV TO anu@iconma.com; Call me on 7985915705 FOR MORE DETAILS. Anu Sharma Lead-TA-HR ICONMA LLC

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

Job Description: We are seeking an experienced Data Scientist with expertise in advanced machine learning techniques to join our dynamic team. The ideal candidate will have hands-on experience developing and deploying models using ensemble methods and other cutting-edge ML algorithms, mostly in the US banking domain. Key Responsibilities: Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., prescreen, acquisition, account management, collections, and fraud). Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions. Work with large datasets, utilizing tools like Python and SQL , to extract, clean, and transform data for modeling purposes. Ensure model robustness, interpretability, and scalability within banking environments. Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.

Job Title: Cluster Assistant Job Description: We are hiring a candidate whose responsible for assisting cluster in Sales Division. Role & responsibilities Calendar management and coordination:- meetings invites, agendas, luncheon arrangements, travel plans and department activities, meeting room bookings etc. Support logistics of internal and off site events through associated tasks:-booking conference rooms, requisitioning audio visual equipment, making copies, scheduling meetings and booking meeting rooms, gathering data, coordinating on RSVP tracking etc. Coordinate with external vendors:- on event logistics as required (ex. Off sites, OGSM meetings, promotion letters etc.) Maintain organization mailing lists, prepare organization announcements etc. sales domain:- collated end of day sales reports from multiple sales people and share insights on the sales trends for the day vs last day last week this year etc. , calculated sales incentive for sales persons based on their monthly earning etc. HR domain:- Worked on offline payroll management (excel based), computed monthly PF PT IT data and sent to payroll consulting firm, tracked inputs from talent team on relocation, joining bonus etc. etc. Requirements: Medium knowledge of scorecards, travel management, calendar management. Experience : 1-3 years Location : Kolkata

Roles and Responsibilities Review and Analysis of historical loan data to understand the pattern from default point of view Apply statistical tool to analyze the pattern and come with detailed assessment Review and Prepare risk dashboard for management which shows all important risk parameters Develop rating model/scorecard for various retail and corporate loans based on historical data Testing of scorecard/model on a regular basis and update Coordinate with various stakeholder for the rating model implementation Prepare and maintain database of loan product from risk assessment point of view Ensure data is correctly captured in the system and coordinate with different team to fix the issue Coordinate with IT team for the automation of credit approval process Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption Manage a small team to monitor the performance of the asset portfolio Provide regular inputs for risk analytics and detailed data points impacting portfolio quality Coordinate with IT team for various project i.e. NPA, Perfios, Scorecard etc. Preparation of Bank wide Risk Dashboard to reflect Risk trend of the Bank Relevant Experience: Overall 7 + plus years of experience in Banking (preferably Risk). Technical Competencies: Good understanding of Credit risk related jargons like balance sheet, income statements, asset inventory statements Good understanding of various regulatory reports of credit risks Good command of Excel, SQL, etc. Analytical skills as well as a thorough understanding of banking laws, regulation, and policies and the ability to apply and explain complex regulatory, financial, and analytical concepts Interested candidate can share their resume on adarsh.pandey@utkarsh.bank

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

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.

Job summary We are seeking an experienced Business Analyst with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Business Services Business Scorecard and Business Intelligence. This hybrid role requires a strong analytical mindset and the ability to translate business needs into actionable insights. The position operates during day shifts and does not require travel. Responsibilities Lead the analysis of business requirements and translate them into technical specifications. Oversee the development and implementation of business scorecards to track key performance indicators. Provide insights and recommendations based on business intelligence data to drive strategic decisions. Collaborate with cross-functional teams to gather and document business requirements. Develop and maintain comprehensive documentation of business processes and systems. Ensure the accuracy and integrity of data used in business intelligence reports. Conduct regular reviews of business processes to identify areas for improvement. Facilitate workshops and meetings to gather requirements and present findings. Monitor and report on the progress of business intelligence projects. Support the development of business cases and project plans. Provide training and support to end-users on business intelligence tools and systems. Ensure compliance with data governance and security policies. Stay updated with the latest trends and technologies in business intelligence and analytics. Qualifications Must have strong experience in Business Services Business Scorecard and Business Intelligence. Should possess excellent analytical and problem-solving skills. Must have the ability to translate business needs into technical specifications. Should have strong communication and collaboration skills. Must be proficient in using business intelligence tools and software. Should have experience in developing and implementing business scorecards. Must have the ability to work independently and manage multiple projects simultaneously. Should have strong documentation and reporting skills. Must be detail-oriented and have a strong focus on data accuracy. Should have experience in conducting workshops and meetings. Must have the ability to provide training and support to end-users. Should have knowledge of data governance and security policies. Must be willing to stay updated with the latest trends and technologies in business intelligence and analytics. Certifications Required Certified Business Analysis Professional (CBAP) or equivalent certification preferred.

Role/ Job Title: Risk Lead (rural unsecured loans) Function/ Department: Retail Business Risk Roles & Responsibilities: Evaluate Product programs/Policies in line with regulatory guidelines and build strong controls to mitigate risks across all spectrums (Onboarding, Credit, Operations, Fraud, Reputation etc.). Monitor portfolio delinquencies at a micro level, identification of segments, locations and profiles which are delinquent. Assure adherence to the guidelines set by the bank. Facilitate implementation of technological interventions like scorecards, digital journeys, and automation to streamline processes. Shape the risk appetite of the product in line with growth objectives and Risk Appetite framework of the bank alongside risk-based pricing. Use analytics for tracking portfolio performance trends. Serve as a policy expert and conduct training when needed. Prepare monthly newsletter - snapshot of Portfolio performance, monthly acquisition trend, quality of portfolio and trigger monitoring. Capture and share best- practice knowledge amongst the team. Recommend improvements to processes and policies across the Retail Banking business to drive operational efficiencies and high-quality customer service. Leverage in-house synergies through collaboration with internal stakeholders. Keep abreast of 4global market trends and competitor strategies in key markets. Monitor key parameters on productivity, hiring quality and costs via maintaining relevant scorecards. Build, groom and retain top-class talent pool to enable high levels of process efficiencies. Attract and retain best-in-class talent for key roles in their reporting structure