47 Ecl Jobs

Seeking a Business Analyst with banking experience in NPA, regulatory reporting, and data analysis; SQL and automation knowledge is a plus.

Role - Audit and Assurance Function Corporate Audit & Assurance Female preferred. Basic pointers: Strong understanding of ICoFR, financial reporting, and risk-based auditing. Knowledge of RBI, NHB regulations, and concurrent audit framework. Familiarity with ECL methodology, credit risk models, and provisioning requirements. Working knowledge of IGAAP / Ind AS as applicable to financial institutions. Analytical mindset with a focus on control assurance and process excellence. Proficiency in Excel, audit tools, and ERP/Loan Management Systems.

Job Purpose This position is responsible to develop, refine and implement a robust risk management framework for TVSCS, align it to the future needs and in line with the market best practices. Key Responsibilities Preparing product level Risk Deck covering the product performance on Key risk metrics against benchmarks, analysis of early bucket bounces, early bucket flow rates and providing actionable to the credit and business team to arrest early flows Portfolio reviews covering areas of delinquency reports, perusing Early Warning System (EWS) reports . Focus should be on portfolio intervention and resolutions strategies with the business unit to improve asset quality on continuous basis Provide feedback or take necessary action to amend the credit policy as actionable from the risk analysis Prepare Credit Through The Door analysis and provide direction to the business team on variance correction Capturing key data elements and analyzing them, interpreting the cross-period movements, and understanding the macro mechanics of the system Hind-sighting reviews as part of risk review and credit policy implementation review Real Time Monitoring of high value cases ECL Model Work along with Finance and credit team to build, review and align the ECL models Job Requirements Qualifications : Chartered Accountant / Post Graduate Experience : 8+ years experience in retail credit/ risk space with bank of repute / NBFCs Functional Competencies Knowledge of regulations around retail and corporate finance Ability to derive industry insights & analyze best practices across industry Ability to analyze the portfolio risk and to deal with big ticket customers Please share your profile at pallavi.singh@tvscredit.com

Risk Analysis & Portfolio Monitoring – Early bucket flow, delinquency trends, EWS, and real-time monitoring. Credit Policy & Governance. ECL Modeling – Building, reviewing, and aligning Expected Credit Loss models with Finance and Credit teams.

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 risk underwriting and Risk Monitoring. Should have experience either in Housing loan/ wheels or NBFC product. 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 . 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

Role Overview We have a challenging opportunity for the aforementioned roles in our Financial Services practice. The person will focus on Indian and global clients, work in a client-facing role, and take on the responsibility of delivering and leading projects around Credit risk analytics and or providing a single point end-to-end accountability for the project oversight, establish a working relationship with the internal and external stakeholders. In line with the increasing regulatory requirements within different aspects of Enterprise Risk Management, the candidate would support banks in Enterprise Risk Management Support catering to changing regulations, review and oversight of credit risk models and with a view to keep its existing ERM framework in speed with the regulatory requirements and long term strategy of the bank. Key Responsibilities Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework Regularly engage in model development, validation, and re-development activities Other risk analytics activities include assisting in review and re-development of Macro-Economic Model, RAROC Calculator Risk Adjusted Return on Capital Period reporting (internal & regulatory) of various Risk Metrics Engage in model risk management activities Desired Profile Postgraduate with 7-10 years of experience in the Banks, NBFCs, consulting firms Certificates like CFA, FRM, CQF Should be proficient in MS Excel and PowerPoint Excellent knowledge of SAS, R, Python. Should have excellent communication skills (oral, written, and email drafting skills) Good organizational, analytical, problem-solving, and project management skills Technical Knowledge Understanding and experience in credit risk function, specifically retail models. Understanding of banking products, operations, and strong knowledge of Basel and IFRS 9 regulatory landscape and regulations in risk, capital, operation, and compliance. Prior work experience with regulators in India and Middle East (RBI, CBUAE, SAMA etc.) is preferred Deep understanding and strong knowledge of SAS/R/Python Understanding of retail banking, corporate banking, capital markets, trading, and other financial services. Individual must have experience in IFRS9, Basel II, III and IV Standardized and Advanced approaches, BCBS, ICAAP, Stress testing, Scorecard development, policies/ procedures, system implementation, etc. Experience in developing PD, LGD, EAD and CCF models for banks and financial institutions Experience in statistical methods such as logistic and Probit regressions Experience in macroeconomic model development and stress testing Key Personal Attributes A good blend of creative thinking and rigorous analysis in solving business problems Strong communication, facilitation, relationship-building, presentation, and negotiation skills Must work well in a team-oriented environment as well as independently. Work with team members to set goals and responsibilities for specific engagements. Foster teamwork and innovation. Ability to work under pressure. Mature, proactive, and displays initiative. Manages own and others' time well. Good oral and written communication skills including documentation of findings and recommendations. Adept at preparing and presenting reports to an audience.

Industry: Housing finance/Banking/NBFC/Financial Services only. Must have at least 3 yrs experience in Liquidity Risk, ECL model, ICAAP, Market Risk, Stress Testing. Qualification: CA or MBA Finance. Working Days: 5 days.

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.

Conduct field visits for mobilization and outreach activities. Identify and counsel suitable candidates for different skill training batches. Build relationships with local communities, panchayats, and industry contacts. Organize and participate in mobilization camps and awareness drives. Collect candidate data, maintain enrolment documentation, and daily reports. Support in candidate registration, batch formation and coordination with training team. Meet mobilization targets as per project requirements. Qualifications & Skills Required: Graduate / HS (10+2) with strong communication skills. Experience in mobilization, field outreach or CSR projects preferred. Local area knowledge of Kajora, Durgapur, Asansol region is an advantage. Good convincing and counseling ability. Basic documentation and reporting skills. Must have own two-wheeler (preferred for field travel)

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.

Financial Reporting (NBFC). CA with 3–6 yrs exp. Handle NBFC accounting, Ind AS FS, RBI returns, GL/R2R, intercompany, audits, IFC, ERP/LMS integration & MIS. Strong in compliance, reporting & financial controls, accounting & financial reporting.

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 risk underwriting and Risk Monitoring. Should have experience either in Housing loan/ wheels or NBFC product. 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 . 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

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.

You are looking for a Lead Data Engineer with at least 7 years of experience, who is proficient in Python, PySpark, Airflow (Batch Jobs), HPCC, and ECL. Your role will involve driving complex data solutions across various teams. It is essential that you have practical knowledge of data modeling, test-driven development, and familiarity with Agile/Waterfall methodologies. Your responsibilities will include leading projects, working collaboratively with different teams, and transforming business requirements into scalable data solutions following industry best practices in managed services or staff augmentation environments.,

We are looking for a Lead Data Engineer with over 8 years of experience in data engineering and software development. The ideal candidate should possess a strong expertise in Python, PySpark, Airflow (Batch Jobs), HPCC, and ECL. You will be responsible for driving complex data solutions across multi-functional teams. The role requires hands-on experience in data modeling, test-driven development, and familiarity with Agile/Waterfall methodologies. As a Lead Data Engineer, you will be leading initiatives, collaborating with various teams, and converting business requirements into scalable data solutions using industry best practices in managed services or staff augmentation environments. If you meet the above qualifications and are passionate about working with data to solve complex problems, we encourage you to apply for this exciting opportunity.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. The FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and Corporate Treasury functions of leading Fortune 500 Companies. The service offerings include market, credit, and operational risk management, regulatory advisory, quantitative advisory, technology enablement, and more. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with trading, asset-liability management, and capital markets activities. The Credit Risk (CR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management within banking book portfolios of large domestic and global financial institutions. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. - Stay informed about market trends and demands in the financial services sector and issues faced by clients. - Monitor progress, manage risk, and communicate effectively with key stakeholders. - Mentor junior consultants and review tasks completed by them. - Work on projects involving model audits, validation, and development activities. Qualifications, Certifications, and Education: Must-have: - Postgraduate degree in accounting, finance, economics, statistics, or related field with at least 3 years of related work experience. - Understanding of climate risk models, ECL, stress testing, and regulatory requirements related to credit risk. - Knowledge of Credit Risk and Risk Analytics techniques. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to summarize key details effectively. - Proficiency in statistics, econometrics, and technical skills in Advanced Python, SAS, SQL, R, and Excel. Good-to-have: - Certifications such as FRM, CFA, PRM, SCR. - Experience in Data/Business Intelligence Reporting and knowledge of Machine Learning models. - Willingness to travel and previous project management experience. EY exists to build a better working world, creating long-term value for clients, people, and society while building trust in capital markets. EY teams across 150 countries provide trust through assurance and help clients grow, transform, and operate in various sectors like assurance, consulting, law, strategy, tax, and transactions, addressing complex issues globally.,

Role & responsibilities: Develop, implement, and maintain the enterprise-wide Risk Governance Framework aligned with regulatory and business needs Ensure regulatory compliance with NHB, RBI, and other applicable risk-related requirements Facilitate Risk Appetite Framework implementation and alignment with business strategy Promote risk awareness and a culture of accountability across the organization through training and communication Coordinate the periodic review and update of risk policies and procedures across all risk types Act as liaison for internal and external audits, inspections, and regulatory queries related to risk governance Preferred candidate profile: Exposure to affordable housing finance or retail lending in low-income segments Certification in risk or governance frameworks (e.g., FRM, IRM, GRC) Familiarity with enterprise GRC tools or risk documentation systems Eligibility 7+ years of experience in risk governance, enterprise risk management, compliance, or audit roles in lending/financial services Strong understanding of risk policies, governance frameworks, and regulatory guidelines (especially NHB/RBI) Excellent organizational and documentation skills, with an eye for detail Proficient in preparing management-level presentations, committee packs, and risk reports Strong interpersonal and stakeholder management skills

Role & responsibilities We are seeking a strategic and analytical leader to lead the Risk Analytics function for our Affordable housing finance business. The role involves developing and implementing advanced risk models, monitoring portfolio health, driving data-driven risk decisions, and working closely with business, compliance, and technology teams to ensure a robust risk framework. Looking for a dynamic and hands-on professional to lead the Risk Analytics function for our affordable housing finance business. The ideal candidate will bring a strong blend of domain knowledge, analytical rigor, and a practical approach suited to the realities of lending to the informal and low-income segment. This role is critical to ensuring healthy portfolio performance while supporting scalable, data-driven growth. Preferred candidate profile 1015 years in risk analytics, preferably in housing finance or financial services Proven experience in risk analytics, particularly in retail lending / housing finance/ affordable housing finance Strong problem-solving and communication skills; ability to present insights to non-technical stakeholders Strong understanding of credit risk, portfolio analysis, and regulatory requirements (e.g., NHB, RBI) Proficiency in analytical tools (SAS, R, Python, SQL, Excel, etc.) Hands on experience in ECL/ICAAP/Control Assessments Strategic mindset with hands-on approach to data and analytics Self-starter with a practical approach and ability to operate in a lean and fast-paced environment Knowledge of scorecard development, building rule-engine for low-income segment using ML models, and decision systems Experience in digital lending platforms or fintech environment, Understanding of field-level credit operations and customer profiles in affordable housing Familiarity with NHB guidelines and risk-based pricing approaches and Indian Accounting Standard / Expected Credit Loss modelling

Senior Software Engineer II Are you excited about developing high-quality software solutions that make a positive impact for our customers and communities? Do you thrive in collaborative environments, enjoy inspiring those around you, and bring a positive, solutions-oriented approach to your work? About the Business LexisNexis Risk Solutions is committed to helping organizations assess and manage risk. In our Healthcare division, we work to advance health outcomes and improve operations across the healthcare sector. Our solutions are built on robust data, innovative technology, applied analytics, and deep healthcare expertise. We prioritize privacy, security, accessibility, and the ethical use of data in all our work. To learn more about LexisNexis Risk, please visit https: / / risk.lexisnexis.com / healthcare . About the Team Our teams are organized into Squads, each bringing together a variety of backgrounds, skills, and perspectives, including Squad Leads, Business Analysts, Development Leads, Developers, and Testers. This structure supports meaningful collaboration and ensures that everyone s contributions are valued as we work together toward shared goals. About the Role This role involves engaging in research, design, and software development projects within a functional area or product line. You will contribute to project planning and scheduling, collaborate across teams, and help shape the development of cross-functional software products. You will have opportunities to design software solutions, mentor colleagues, and interact directly with users to understand their needs. Responsibilities Collaborate with technical team members to clarify requirements and find the best solutions. Write and review portions of detailed specifications for the development of complex system components. Identify and help resolve software issues as they arise and work closely with other development team members to understand and translate product requirements into thoughtful software designs. Contribute to development processes, promote best practices, and participate in code reviews. Operate in a variety of development environments (for example: Agile, Waterfall) while working with key stakeholders. Keep up with new technology developments and approaches in software engineering, design and work with complex data models. Mentor and support less-experienced software developers, fostering an environment of continuous learning and growth. Assist with other duties as assigned to support team objectives. Requirements Proven experience with software development methodologies (such as Agile or Waterfall). Proficiency in data manipulation languages and optimization techniques with understanding of data modeling principles (normalized/dimensional). Knowledge of multiple data storage subsystems. Experience with programming languages including (but not limited to) HPCC, ECL, Airflow (Batch Jobs), Python. Interest in or experience with data engineering implementations with solid problem-solving and research skills. Understanding of industry best practices in software development. Familiarity with commonly used development tools and ability to work effectively with colleagues from diverse backgrounds and experiences. Commitment to clear and inclusive written and verbal communication. Accessibility and Inclusion We are committed to creating an inclusive workplace where everyone feels valued and supported. If you require accommodations or have accessibility needs at any stage of the application process or during employment, please let us know. We encourage applications from people of all identities, backgrounds, and lived experiences including, but not limited to, Indigenous peoples, visible minorities, persons with disabilities, LGBTQ2+ individuals, and veterans. Learn more about the LexisNexis Risk team and our culture here We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Senior Software Engineer II Are you excited about developing high-quality software solutions that make a positive impact for our customers and communities? Do you thrive in collaborative environments, enjoy inspiring those around you, and bring a positive, solutions-oriented approach to your work? About the Business LexisNexis Risk Solutions is committed to helping organizations assess and manage risk. In our Healthcare division, we work to advance health outcomes and improve operations across the healthcare sector. Our solutions are built on robust data, innovative technology, applied analytics, and deep healthcare expertise. We prioritize privacy, security, accessibility, and the ethical use of data in all our work. To learn more about LexisNexis Risk, please visit https / / risk.lexisnexis.com / healthcare . About the Team Our teams are organized into Squads, each bringing together a variety of backgrounds, skills, and perspectives, including Squad Leads, Business Analysts, Development Leads, Developers, and Testers. This structure supports meaningful collaboration and ensures that everyone s contributions are valued as we work together toward shared goals. About the Role This role involves engaging in research, design, and software development projects within a functional area or product line. You will contribute to project planning and scheduling, collaborate across teams, and help shape the development of cross-functional software products. You will have opportunities to design software solutions, mentor colleagues, and interact directly with users to understand their needs. Responsibilities Collaborate with technical team members to clarify requirements and find the best solutions. Write and review portions of detailed specifications for the development of complex system components. Identify and help resolve software issues as they arise and work closely with other development team members to understand and translate product requirements into thoughtful software designs. Contribute to development processes, promote best practices, and participate in code reviews. Operate in a variety of development environments (for example Agile, Waterfall) while working with key stakeholders. Keep up with new technology developments and approaches in software engineering, design and work with complex data models. Mentor and support less-experienced software developers, fostering an environment of continuous learning and growth. Assist with other duties as assigned to support team objectives. Requirements Proven experience with software development methodologies (such as Agile or Waterfall). Proficiency in data manipulation languages and optimization techniques with understanding of data modeling principles (normalized/dimensional). Knowledge of multiple data storage subsystems. Experience with programming languages including (but not limited to) HPCC, ECL, Airflow (Batch Jobs), Python. Interest in or experience with data engineering implementations with solid problem-solving and research skills. Understanding of industry best practices in software development. Familiarity with commonly used development tools and ability to work effectively with colleagues from diverse backgrounds and experiences. Commitment to clear and inclusive written and verbal communication. Accessibility and Inclusion We are committed to creating an inclusive workplace where everyone feels valued and supported. If you require accommodations or have accessibility needs at any stage of the application process or during employment, please let us know. We encourage applications from people of all identities, backgrounds, and lived experiences including, but not limited to, Indigenous peoples, visible minorities, persons with disabilities, LGBTQ2+ individuals, and veterans. Learn more about the LexisNexis Risk team and our culture here We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers EEO Know Your Rights .

We are seeking self-motivated and analytically driven professionals to join our Risk Analytics team. The ideal candidate to have a strong background in Credit Risk or Portfolio Risk Management , with the ability to derive actionable insights through robust data analysis. You will work closely with cross-functional teams and contribute toward maintaining and improving portfolio quality across lending products. Key Responsibilities Develop insights and recommendations to support business decisions and risk mitigation strategies Contribute to Expected Credit Loss (ECL) modeling, loss forecasting, and stress testing exercises Evaluate Early Warning Signal (EWS) frameworks using internal and external data sources as well as developing & deploying new models Collaborate with Credit, Product, and Business teams to drive risk-based strategies Participate in portfolio performance reviews and highlight emerging risk trends Required Skills & Competencies Experience in portfolio risk assessment, especially in Retail and/or SME lending Strong analytical skills with an eye for detail and a problem-solving mindset Proficiency in Python for data analysis and model development Advanced Excel user able to work with pivot tables, lookups, and automation Self-starter with the ability to work independently as well as in a team environment Familiarity with credit appraisal processes and risk assessment methodologies is an added advantage Educational Qualifications CA / MBA / B.Tech / Postgraduate degree in Statistics, Economics, or related quantitative field Experience 1-2 years of experience in the lending business of a Bank or NBFC Preferably worked in Credit Risk / Portfolio Monitoring / Risk Analytics functions

Understanding on Engineering Data Warehouse (EDW) Understanding on Plant breaks down structure and how it is used to configure and EDW. Reference data library for Engineering data and Documentation Understanding in Engineering Standards like ECL( Equipment class library), DCL (Document class library), CFIHOS etc. AVEVA AIM, AVEVA ISM and how it is setup in Digital Twin ( ex:- EDMS- AVEVA connection, how reporting tools can be configured with AVEVA AIM) Basic knowledge is expected. How Information is ingested / Extracted in AVEVA or any EDW tools. Ensure extract, transform and loading jobs are run as scheduled Maintain issues log and compile delta reporting for ETL gaps and discrepancies to EPCs, IM Leads, Discipline or Business Leads. Run extracts from AVEVA for additional KPI/reporting requirements not addressed in AVEVA AIM Prepare data extracts from EPCs, EDTs, and other systems to support and automate consistent loading of other tools or applications such as SAP, HSC, etc. Provide oversight of handover of latest drawings and comparing with dataset delivered by projects and MOCS Recommend solutions for AVEVA AIM integrations with other Projects, Ops or Maintenance software/systems Providing Tier 1support and troubleshooting for AVEVA AIM including PowerBI reporting and will escalate to IT team or AVEVA AIM Product Owners/Consultants as needed. Author AVEVA AIM training content for new and Power users and maintain the content within the SharePoint site dedicated to specified workflow. Provide KPIs and generate QA reports for Asset or project documents and data in AVEVA AIM Maintain, prioritize and respond to user feedback, change requests and enhancements. Provide feedback on usability, features, performance, etc. to different business processes within the Company. Propose improvements to AIM Steer Co to improve navigation, searching, accessing asset information. Work Experience Experience of Engineering business processes, and risks/opportunities across the engineering life-cycle. Familiarity with IM data and document management work processes in projects and operations. Understanding of industry standards and practices, Knowledge of Aconex, EDT and AVEVA AIM Load processes and tools (Gateways) Experience in Oil & Gas Min 4-5 years experience with Data control, Engineering Data Warehouse on Asset. Experience in data analytics. Understanding of database/data structures and methodologies. Working experience with IM tools to support ETL (e. g. . SQL, C+, APIs) Proficient in metrics reporting (e. . g. PowerBI) Familiar with cross discipline engineering data terminology and requirements. ability to plan, implement, test, document and troubleshoot system integrations or upgrades.

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

Preparation of competitor analysis and market trends. Monitoring of Key Performance Metrics for the business unit verticals and support functions on a monthly basis. Analyzing and monitoring customer-wise profitability. Detailed analysis on operating cost and overheads to suggest improvements that will lead to cost reduction and efficiency in operations. Analyzing financial and operational results to understand business performance on weekly and monthly basis. Provide timely and accurate reports as required by shareholders of the company. Analysis of parameters for ECL, claims, DSO, performance tracker Analysis of sales person wise revenue, credit notes, high ageing customers Highlighting risky customer basis collections not receiving and taking actions on blocking such customers after O/s crosses the credit limit

Software Engineer I II Would you like to be part of a team that delivers high-quality software to our customers? Are you a highly visible champion with a can do attitude and enthusiasm that inspires others? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, our solutions focus on transforming operations and improving health outcomes across the healthcare industry. While our solutions are centered around robust data assets, we also leverage sophisticated technology, applied analytics, and deep healthcare expertise - while ensuring the highest standards of privacy and security - to help healthcare organizations make confident decisions and solve complex challenges. You can learn more about LexisNexis Risk at the link below. https / / risk.lexisnexis.com / healthcare About the Team Generally, the team is formed in Squad where each squad consists of Squad Lead, Business Analyst, Dev lead, Developers and Testers. This Squad structure provides more connectivity among team members and allows us to deliver faster as all resources work as one group on dedicated task. About the role This position performs moderately difficult research, design, and software development assignments within a specific software functional area or product line. The position should have the ability to work on individual pieces of work and solve problems including the design of the program flow of individual pieces of code, effective coding, and unit testing. Responsibilities Interface with other technical personnel or team members to finalize requirements. Write and review portions of detailed specifications for the development of complex system components and Complete complex bug fixes. Work closely with other development team members to understand complex product requirements and translate them into software designs. Successfully implement development processes, coding best practices, and code reviews, operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve complex technical issues as necessary, train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. Keep abreast of new technology developments. Design and work with complex data models Mentor less-senior software developers on development methodologies and optimization techniques and all other duties as assigned. Technical Skills Proficiency with data manipulation languages with understanding of data modeling principles and ability to work with complex data models. Proficiency in development languages including but not limited to ECL, HPCC, Python and data engineering concepts with f amiliarity of industry best practices code coverage. Ability to work well with internal and external technology resources and to write and review portions of detailed specifications for the development of system components of moderate complexity. Knowledge of software development methodologies (e.g., Agile, Waterfall). Knowledge of data manipulation languages, data storage subsystems, test-driven development. Ability to write and review portions of detailed specifications for the development of system components of moderate complexity. Ability to complete moderately complex bug fixes. Good oral and written communications skills. Learn more about the LexisNexis Risk team and how we work here We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers EEO Know Your Rights .