59 Scorecard Jobs

Formulation of Credit Policy for assigned products Review amendment proposal to credit policies Monitor effective implementation of credit policies Review and Analysis of historical loan data to understand the pattern from delinquency 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 Customer, vendor, competition visits & Market analysis 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 products from risk assessment point of view Ensure data is correctly captured in the system and coordinate with different teams to fix the issue. Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption Regulatory, Audit reporting interested candidate can share their resume on adarsh.pandey@utkarsh.bank.

PLEASE DO NOT APPLY ON NAUKRI PORTAL, APPLY ON BELOW LINK https://crowe.wd12.myworkdayjobs.com/External_Careers/job/Noida-Uttar-Pradesh-India/Model-Risk-Senior-Consultant_R-47692 Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: Complete key aspects of client service projects from planning to completion. Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. 4+ years’ of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. Working knowledge of: Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking. Technical knowledge about data processing, data storage, and data visualization. A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. Write and present to clients clear and concise reports and presentations containing meaningful recommendations. Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables and knowledge transfer. Manages engagement to ensure quality and is delivered within budget. Engagements are frequently conducted remotely. This position requires travel up to 30%. Additional skills desired: Solid analytical background and knowledge of econometrics. Knowledge of risk ratings, risk rating /scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus. Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. Experience with database management, such as SQL. Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: C3 India Delivery Centre LLP formerly known as Crowe Howarth IT Services LLP is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Role & responsibilities The role of Auditor involves: Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, rating and other models using statistical, machine learning techniques. Automate audit testing by utilizing a variety of modeling, data analysis, and programming tools. Identifies anomalies, trends, and risks by analyzing large, complex data sets. Ability to evaluate models across multiple functional domains, such as wholesale, retail, fraud, etc. Proficiency with Python/R, SQL Server, SAS, Excel, JIRA, Bitbucket. Opportunity to contribute to one or more areas of audit covering risk function like audit of Credit Risk, Market Risk, Operational Risk, Pillar II, ICAAP, ERM, Fraud Risk as per RBI guidelines. Key Responsibilities Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, and rating models using statistical, machine learning techniques. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Preferred candidate profile A master's degree in Statistics, Mathematics, or related fields. 7 - 12 years of experience in the financial services industry, preferably with model development, validation, model risk audit, data analytics. Understanding of Risk Management processes like Market, Credit , Operational, ALM, Capital adequacy, Fraud is good to have but not essential. Demonstrate good understanding of model risk function. Knowledge of various modelling techniques used in the banking industry. Experienced with various programming languages used in risk modelling. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Coordinating and supporting the Banks compliance team during RBI Audits and other external audits. Good communication (both verbal & written) and inter-personal skills. Ability to work as a part of team and contribute towards team goals.

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 Analytics and Modeling Senior Analyst/ 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/ 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/ 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.OUR COMMITMENT TO YOU:Youll benefit from our network of global communities and collaborative culture that will help you build technical and functional skills and capabilities. And because we serve more than 40 industries globally, youll have the opportunity to develop valuable industry-specific expertise.The scale of our capabilities and client engagementsand the unique way we innovate, operate and deliver valuewill give you the opportunity to deepen your existing skills even as you help create the latest technology trends. Youll have access to leading-edge technology.Accenture offers a comprehensive benefits package What are we looking for ACCOUNTABILITIES Answerable/Liable for successBusiness 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 requestsQUALIFICATIONS Degrees, CertificationsAny 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 preferred Roles and Responsibilities: RESPONSIBILITIES Tasks, functions, deliverables Performed Act 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 managementTOP 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 Qualification Any Graduation

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 Analytics and Modeling Senior Analyst/ 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/ 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/ 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.OUR COMMITMENT TO YOUYoull benefit from our network of global communities and collaborative culture that will help you build technical and functional skills and capabilities. And because we serve more than 40 industries globally, youll have the opportunity to develop valuable industry-specific expertise.The scale of our capabilities and client engagementsand the unique way we innovate, operate and deliver valuewill give you the opportunity to deepen your existing skills even as you help create the latest technology trends. Youll have access to leading-edge technology.Accenture offers a comprehensive benefits package What are we looking for ACCOUNTABILITIES Answerable/Liable for successBusiness 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 requestsQUALIFICATIONS Degrees, Certifications Any 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 preferred Roles and Responsibilities: RESPONSIBILITIES Tasks, functions, deliverables Performed Act 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 managementTOP REQUIRED BEHAVIORS AND S Preferably 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 Qualification Any Graduation

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

Role & responsibilities 4 - 8 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication, offer generation, scorecard development, cross selling. Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. Perform feature engineering through extracting meaningful features from traditional and alternate data sources. Mentor team of data scientists Proficiency in Python, SQL, AWS / GCP / Azure Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course

Responsibilities: * Lead Kaizen events, implement Six Sigma projects & drive continuous improvement culture. * Manage client relationships, create project reports & present findings via PowerPoint. Food allowance Travel allowance House rent allowance

Positions Available:- Recruitment Manager-IT (PST Shift) 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

• 4 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. • Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. • Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. • Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. • Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. • Perform feature engineering through extracting meaningful features from traditional and alternate data sources. • Mentor team of data scientists • Proficiency in Python, SQL, AWS / GCP / Azure • Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course Preferred candidate profile

Job Title: Credit Risk Modeler/Manager (IRB/Scorecard + Python) Location: Bengaluru (Work From Office) Experience: 3 to 8 Years Domain: Credit Risk, Retail Lending Key Skills: Python, IRB Scorecard Development, Risk Model Validation, Monitoring KPIs, Retail Credit Risk About the Role We are looking for a skilled Credit Risk professional with hands-on experience in IRB/Scorecard modeling and Python programming . The ideal candidate will contribute to the development, validation, and monitoring of credit risk models for retail lending products , ensuring compliance with internal policies and regulatory standards (Basel/IRB). Key Responsibilities Design, develop, and calibrate credit risk scorecards (Application, Behavioral, Collection, and Basel IRB PD/LGD models) using Python and statistical tools. Perform validation and backtesting of risk models as per regulatory and internal standards. Conduct regular model performance monitoring , produce KPI dashboards, and escalate material deviations. Automate risk model monitoring reports and analytics using Python. Document model development, assumptions, and results clearly and effectively. Work closely with Risk, Business, and Compliance teams to ensure model relevance and compliance. Required Skills & Experience Total Python experience : [Add your total years] Proficient in Python for data processing, model development, and automation . Hands-on experience with IRB/Scorecard modeling including Development, Validation, Monitoring, and Calibration . Strong understanding of KPI metrics used in model monitoring, such as: Population Stability Index ( PSI ) KolmogorovSmirnov ( KS ) Gini/ROC Override Analysis Vintage Analysis PD/LGD Backtesting Experience with Credit Risk Scorecards ONLY (non-retail domains like market or operational risk do not apply). Deep understanding of retail lending products like Personal Loans, Credit Cards, Auto Loans, etc. Exposure to Basel norms , IRB frameworks , and regulatory expectations.

Job Title: Manager IRB & Scorecard Development Location: Bangalore Experience Required: 3 to 10 years Employment Type: Full-Time Domain: Banking / Financial Services / Credit Risk Analytics Job Summary: We are seeking an experienced and detail-oriented Credit Risk Modeler with strong hands-on expertise in IRB (Internal Ratings-Based) modeling and credit scorecard development . The ideal candidate will contribute to the design, development, validation, and monitoring of models used for regulatory capital calculation (as per Basel norms) and business decisioning (such as application, behavior, and collections scorecards). You will work closely with risk, data, compliance, and business teams to ensure model robustness, regulatory alignment, and business relevance. Key Responsibilities: Model Development & Maintenance Design and build credit risk models for PD, LGD, and EAD estimation under the IRB framework (Basel II/III/IV). Develop and implement credit scorecards (application, behavior, and collections) using statistical techniques like logistic regression , decision trees , and machine learning . Lead model performance monitoring , backtesting, and recalibration initiatives. Translate regulatory guidelines into technical specifications and modeling requirements. Data & Analytics Conduct data extraction, cleaning, and preprocessing using tools like SQL, Python Perform exploratory data analysis (EDA) , feature engineering, and variable selection. Handle large-scale, imbalanced, and skewed datasets using best practices in credit modeling. Documentation & Regulatory Support Prepare detailed model documentation, including model development reports (MDRs) , validation reports , and regulatory submission artifacts . Support internal and external model validation , audits, and regulatory reviews (e.g., by RBI, ECB, PRA). Collaboration & Communication Work cross-functionally with risk, compliance, product, and IT teams to deploy models into production. Communicate findings and technical insights to non-technical stakeholders clearly and effectively. Provide thought leadership on model governance , regulatory changes , and emerging best practices . Required Skills & Experience: 38 years of experience in credit risk modeling , particularly within retail, SME, or wholesale portfolios . Proven hands-on experience in IRB model development (PD/LGD/EAD) aligned with Basel II/III regulations. Strong experience developing credit scorecards for lending or collections. Proficient in Python with sound knowledge of SQL for data extraction and analysis. Solid understanding of statistical techniques , model validation , and model monitoring . Familiarity with regulatory requirements and model risk management frameworks Strong problem-solving, analytical thinking, and communication skills.

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

Model Development 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 ML Models (first line or second line) and regulations 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 ML models from Risk background Strong understanding of Machine learning models 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 Hands on experience python OR SQL is must Hands on work experience in R or any other analytical software would be a plus Good problem-solving skills

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. Currently House of Shipping is recruiting for Business Performance Specialist based out of Chennai/Mumbai. Job Purpose: The Business Performance Analyst/Specialist is responsible for leading the development, alignment, and deployment of organizational and business unit objectives across departments and teams. This role drives the implementation of strategy maps/balanced scorecards which establishes relevant KPIs to monitor progress and support data-driven decision-making in alignment with strategic goals/priorities. Roles & Responsibilities: Framework Deployment: Implement and maintain performance management frameworks such as Balanced Scorecards or OKRs. Objective Alignment: Drive the development and cascading of corporate and business unit objectives to departments and teams. KPI Design: Define and validate KPIs that accurately reflect strategic and operational goals. Metric Logic: Develop calculation logic and data collection mechanisms to support performance measurement. Reporting & Visualization: Create dashboards and report templates to present performance data in a clear and actionable format. Performance Tracking: Monitor KPI progress, analyse deviations, and identify areas for improvement. Review Support: Facilitate regular performance reviews and ensure alignment with governance processes. Stakeholder Engagement: Collaborate with leaders across functions to align goals. Strategic Analysis: Apply tools such as SWOT and PESTLE to support strategic planning and evaluation. Culture Building: Support a performance-driven culture through coaching and training of designated KPI champions. Education requirements Bachelors degree in Business Administration, Industrial Engineering, or Economics (required) Master’s degree in Business Administration (preferred) Language requirements English (mandatory) Background and experience Competencies and skills Minimum two years' experience as a corporate strategy and/or business performance Certified Balanced Scorecard Professional (preferred) Certified Business Analysis Professional (preferred) Certified Associate in Project Management (ideal) Certified Change Management Professional (ideal) Experience with strategy and business performance/kpi systems (e.g. Spider Impact) Experience with digital visual management systems Practical knowledge of Balanced Scorecard (BSC) and/or Objectives and Key Results (OKR) frameworks Proven ability to define KPIs, set SMART targets, and design data collection and calculation methods Strategic thinking, business acumen, and strong analytical capabilities Proficient in strategic analysis tools such as PESTLE and SWOT Skilled in data visualization and reporting tools (e.g., Power BI, Excel) Strong presentation and storytelling skills for conveying performance insights Role & responsibilities Preferred candidate profile

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

Role . Monitor Portfolio quality trends /Early Warning triggers for Retail Finance / Consumer lending products 2. Perform Portfolio deep-dive to identify emerging trends; contribute towards improving portfolio quality and reducing non-performing loans 3. Analysis and visualization of risk factors using database and analytics tool like Python/SAS, SQL, Power BI, Excel 4. Credit Loss Modelling for the Retail Finance products e.g. Personal Loans, Vehicle loans for ECL Provisioning 5. Maintain credit Models on Basel/IFRS 9 (PD, LGD, EAD) etc. for ECL (Expected Credit Loss) Calculations 6. PD Modelling with Flow rates and Linear Regression, and Vasicek method 7. Develop & maintain Stress Testing Framework - perform Stochastic Stress Testing using Regression, Vasicek, CIR models 8. Perform Stress Testing on material risks in line with RBI guidelines / Basel norms and Stress Testing Policy. 9. Design Guardrails for each product and monitor them for sensing & sending Early Warning Alerts 10. Query large data sets to draw insights from loan portfolio data to detect early warning indicators 11. Extensive data mining to monitor the changes in trends, outlook and review the portfolio quality and performance 12. Perform portfolio analytics Vintage, Water-fall, Through the door analysis etc. 13. Monitor Macro/Micro/High Frequency indicators; keep a close monitoring on movement of these indicators and perform impact assessment.onsibilities Preferred candidate profile Statistical Concepts, Data Science and Machine Learning algorithms, Basel norms/IFRS 9 (PD, LGD, EAD), IND, Regulatory, Financial Concepts

Responsibilities: * Lead strategy implementation projects from start to finish * Monitor KPIs, create project reports, manage clients * Develop value stream maps, implement kaizen initiatives Food allowance Travel allowance House rent allowance

The Computerized Maintenance Management System (CMMS) Administrator develops, implements, integrates and manages the information systems and associated tools. This position provides the critical data needed to track Key Performance Indicators and analyze team performance, comparing it against targets and benchmarks. This position establishes , maintains and ensures consistent application of the CMMS processes and procedures to support all maintenance functions including, but not limited to, the followingAsset Management, Work Order Management, Preventive Maintenance Scheduling , Inventory Management, Labor Records, Task and Procedures Management, System Software and Hardware Management PRINCIPAL RESPONSIBILITIES System Administration * Input and maintain the facility master data on Dynamics 365, * Implement system updates , * Serve as the main contact for Americas region & supports other regions for the CMMS system. * Set up and assist in designing CMMS views, dashboards & reports , Work Order Management * Manage the work order system. This includes supervising the work order transactions and providing the required reports to management, * Establish available PM schedules and ensur e work order release within timeline * Track asset downtime, Track labor costs * Scheduled vs. Unscheduled repairs , Chart MTBF & MTTR for Assets * Create and maintain reporting tool for monthly Key Performance Indicators (Scorecard Reporting) and conduct analysis against targets and track of PM due * Provide support to the facilities team for quarterly updates and changes to preventive maintenance tasks and scheduled events Checklist * Creating new task plans of individual activities * Mapping necessary task plan to PM sched ules * Support facilities team on updates in task plan * Trends on checklist value at asset level Inventory Management * Total inventory management * Establish unique item number for parts & track parts utilization * Support for quantity up load * Asset Part relation * List of primary vendors /suppliers and with contact information * Determine repair / PM costs per assignment * Set minimum / maximum reorder points * Support inventory returns Labor Records * Track labor costs for work orders * Track labor costs for all assets * Ensure resource are properly mapped for booking labor * Support facility team in scheduling labor Tasks / Procedure Management * Establish and define procedures of all tasks for all users * Define common tasks for related work orders * Set up and provide instructions for time ly input for work orders/projects at applicable sites. * Train New personnel on the CMMS system Additional * Assist with the management o n bringing in new enhancements and integration with other tools * Analyze data and present management on the outcomes * Manage special projects and perform other duties as assigned. Sound like youTo apply, you need to be * A minimum of 5-6 years experience in a comparable CMMS role is highly preferred; 3 years experience in a data management and analysis may be considered * Experience using CMMS tool Dynamics 365, is highly preferred. * Experience i n integrating CMMS with other tools * Experience working with facility background and hands of knowledge in HVAC system , Fire Safety system, Plumbing, Electrical (Transformer, UPS, DG, HT & LT end, etc.,) * Computer skills - Microsoft Office skills (Excel, Word, Outlook , Power Point, Power Apps ) * Collaborative mind setWe believe that collaboration plays a central role in achieving success, demonstrate flexibility in working with a team, you must possess a customer- centric focus and superior organizational skills to manage daily activities effectively Good organizational skills with ability to multi-task and prioritize. * Ability to work within a team as well as independently * Logical thinker with good common sense and excellent eye for detail. * Flexible and adaptable to policy changes and work flow * Ability to write reports, investigations, and standard operating procedures. * Excellent verbal and written communication skills; ability to communicate with multi-level audiences.

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3-8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - divya.sehgal@thethreeacross.com

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3–8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - simran.salhotra@portraypeople.com

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.

Title : Data Science Lead (Credit Risk & Analytics) - Chennai/Bangalore (Hybrid) We're searching for a passionate Data Science leader to head up a talented team and revolutionize our client's understanding of credit risk. You'll leverage your expertise in advanced analytics, machine learning, and credit risk to develop intelligent solutions that drive business impact. What You'll Do: Guide and empower: Lead and mentor a team of data scientists and analysts, fostering their growth and expertise. Uncover hidden insights and business findings: Analyze diverse data sources, including customer data, cases, and stakeholder feedback, to extract valuable insights. Bridge the gap: Collaborate with business partners to design and implement data-driven solutions that tackle emerging business challenges. Automate for success: Develop intelligent, scalable, and automated solutions using your data science skills. Tech-savvy collaboration: Work with other technology leaders and engineers to define requirements and prioritize capabilities based on data analysis and business needs. Project ownership: Independently lead analytics and data science projects, setting goals, estimating benefits, and managing timelines. Communication is key: Clearly communicate complex findings and actionable outcomes to leadership, peers, stakeholders etc.. Who You Are: Data Science Rockstar: 4+ years of experience in advanced analytics, statistical modelling, and machine learning. Experience in Credit Risk: In-depth understanding of the credit risk lifecycle, from origination to debt collection in the lending domain(b2c).- ***Non-Negotiable*** Tech know-how (must): Proficiency in Python, SQL/NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise. Always Learning: Continuously seeks out new knowledge, ideas, and feedback to build personal expertise. Leadership & Communication: Strong organizational skills, follow-through, and exceptional written, verbal, and interpersonal communication. Problem-Solving Powerhouse: High emotional intelligence, can-do attitude, and creative approach to solving problems. Self-starter: Takes ownership, drives projects with minimal guidance, and focuses on high-impact work. Education: Preference would be given to premium educational institute candidates Bonus Points: Collections and Digital Channels experience. Big data and cloud computing experience (Spark, Hadoop, MapReduce, PIG, HIVE). Prior Credit Risk and Credit score domain experience. Location: 1st Preference Chennai/ 2nd Preference Bangalore (Hybrid work model)

We are looking for a highly skilled and experienced professional to lead our Internal Control and Quality team in Noida, responsible for ensuring the highest standards of quality and compliance across our microfinance branches. The ideal candidate will have a strong background in finance and accounting, with excellent analytical and problem-solving skills. Roles and Responsibility Lead the Internal Control and Quality team for the North Zone, ensuring effective implementation of internal controls and quality processes. Execute audits at branches and regions according to the Audit Plan drawn up by the Head Credit. Conduct periodic investigations into process adherence across regions for microfinance branches. Follow up on audit findings and implement corrective actions as per Operations policy, Rules & Regulations. Gather field intelligence and customer insights from a team of quality assurance executives. Ensure 100% quality compliance against observations highlighted by the quality team within a timebound manner. Take disciplinary action against deviant behavior or deliberate attempts to violate processes. Check and ensure branch-level compliances from both administrative and statutory perspectives. Anchor monthly quality reviews at the regional level, summarizing root causes and promising follow-up analysis, while guiding the business team on overdue follow-ups. Coordinate with the corporate office to support business functions regarding reports, TAT, grievances, and project execution. Manage the Credit function for microenterprise loans. Conduct market research when needed for specific purposes. Job CA / MBA Finance qualification with a minimum of 8 years of experience in finance and accounting. Possess strong knowledge of credit underwriting, scorecards, and legal requirements. Demonstrate good understanding of technology and automation. Exhibit excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced environment and meet deadlines is essential. Strong leadership and team management skills are required. Experience in managing teams and executing projects is necessary. Understanding of critical attributes of legal and governance requirements is expected. Be well-versed in understanding credit underwriting and scorecards. A graduate degree is also acceptable for this position.

We are looking for a highly skilled and experienced Manager - Internal Control and Quality to join our team in Mumbai. The ideal candidate will have 5-10 years of experience in internal control, quality assurance, and compliance. Roles and Responsibility Conduct structured and periodic investigations to ensure process adherence in microfinance branches. Gather field intelligence and customer insights from quality assurance executives. Act as a quality custodian across branches, analyzing reports and suggesting corrective actions. Ensure 100% quality compliance against quality team observations within specified timelines. Take disciplinary action against deviant behavior or deliberate process lapses. Check and ensure branch-level compliances from an administrative and statutory perspective. Anchor monthly quality reviews at the regional level, summarizing root causes and promising follow-up on overdue issues. Coordinate with the corporate office to support business functions related to reports, TAT, grievances, and project execution. Manage credit function for micro enterprise loans. Conduct market research as needed for specific purposes. Job CA / MBA Finance qualification is required. Possess strong knowledge of credit underwriting, scorecards, and legal requirements. Demonstrate good understanding of technology and automation. Exhibit excellent analytical and problem-solving skills. Ability to work effectively in a team environment and communicate complex ideas clearly. Strong attention to detail and ability to meet deadlines are essential.