30 Ecl Jobs

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 .

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 .

ESOP Working, Ind As 116, Fixed assets accounting System updating of cost allocation and Ind As process automation Previous GAAP and Ind AS Financials Department wise costing analysis Board Meeting data-Budget v/s Actual, Q-o-Q P/L analysis Oracle-Fusion EGL activity Quarter & Year ended Financial Reporting Requirements EIR on Borrowing and Debenture (Monthly) EAD ECL LGD (Monthly Review) Monthly PL Review and reasoning for variances from previous months and budget Investor presentation data in Ind As financials (Quarterly/ Annual)

Role & responsibilities Analysis of historical loan data to understand the pattern from default point of view Apply statistical tool to analyze the pattern and come with detailed assessment 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 Coordinate with IT team for the automation of credit approval process Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption interested candidate may share their resume on astha.pathak@utkarsh.bank.

We are looking for a skilled professional with 10 to 15 years of experience to join our team as a Deputy Head - Financial Reporting in Mumbai. Roles and Responsibility Prepare INDAS schedules and disclosures, including ECL workings and fair value accounting. Develop and maintain the INDAS ECL model, automating it over time. Liaise with cross-functional teams for information requirements related to INDAS. Document and update INDAS policies and process documents under the Internal Financial Control framework. Support system developments for Revenue Assurance Accounting team automation of ECL provisioning computation, accounting, and reporting. Assist in financial accounting and reporting requirements, including statutory and internal audits. Implement Internal Financial Controls under the Companies Act 2013. Possess sound knowledge of existing LMS systems across Tata Capital. Automate RBI returns and ECL processes. Job Minimum 10 years of experience in financial reporting or a related field. Strong knowledge of INDAS, ECL, and financial accounting principles. Experience with system development and automation is required. Ability to work effectively in a cross-functional team environment. Sound knowledge of existing LMS systems across Tata Capital.

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

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

About the Role: Senior Data Analyst Core Responsibilities: The successful candidate will be responsible for supporting business function teams to analyze and execute ideas and drive initiatives designed to achieve business growth, along with loss mitigation goals. The core responsibilities will include. Orchestrate end-to-end credit-risk analytics: extract bureau + alt-data features, run feature-selection, train models, and then translate those into limit, tenor and approval rules recommendations. Managing Credit risk framework by creating probabilistic loss forecasts using vintagecurve time series progressions, survival-hazard models and Markov chain / Vasicek ECL models. Identification of business opportunities by decomposing acquisition funnels, isolating the reasons for true causal lift through frameworks like T-learner, tree-based segmentation etc. Shape next-gen underwriting stack by crafting strategies for -- score cut-offs, tenor reshaping, limit-increase logic, use of alternate credit data points -- and quantify their P&L impact before rollout Simulate what-if” scenarios and recommend cohort-specific pricing/risk shifts own the data-science storyline in CXOs and board forums, securing green-lights (or kill calls) for high-stakes experiments. Preference and Experience: Working experience as a Data Analyst or Business Data Analyst. Fluency in bureau datapoints, functional knowledge of consumer lending processes (risk/profit economics, RBI digital-lending rules, alternate credit datapoints) Strong command of Python and SQL for large-scale data analysis, plus hands-on experience with any BI dashboards. Knowledge of statistics and experience of using statistical models for analyzing datasets. Able to design experiments, interpret results, and prepare recommendations for C-suite, credit risk teams. Educational Requirements: MBA and a Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline.

Job Overview & Responsibilities: The individual will be part of Financial reporting team specifically leading accounting for Wholesale (WS) segment. Candidate would be primarily responsible for review o f: Responsible for financial reporting for a business segment including EIR, TDS, ECL, NPAs etc Preparing high quality deliverables with analysis for a business segment Ensuring reconciliation between Accounting and LMS systems Continuous interaction with senior management of business segment to have a full overview and understanding of business including specific loans Data analysis Yield analyses, Loan book analysis, Loan book movement, Interest and processing fee, Credit Cost Wholesale analysis, variance analysis SR Accounting and monitoring for Whole Sale business. Managing auditors and handling regulatory requirements Working closely with cross functional team Monthly book closure activities and Trial balance analysis Subsidiaries companies' financial statements Wholesale TDS monitoring and coordination with operations and tax team Any other activities related to Wholesale financial reporting QUALIFICATION: Chartered Accountant EXPERIENCE: Minimum 5+ years of post qualification experience in accounting/ financial domain SKILLS AND COMPETENCIES: IND AS Experience with Financial Services Background Familiarity with RBI Regulations for NBFC EIR model working expertise and automation Excellent SAP/ERP knowledge, Microsoft Excel and power point Strong leadership skills and team player Good communication skills

Key Responsibility: End-to-End Model Development Design, train, and deploy machine learning models (supervised/unsupervised learning, NLP, time-series forecasting) using Python (scikit-learn, TensorFlow, PyTorch) and R for specialized statistical analysis. Optimize models for computational efficiency via parallelization, quantization, and cloud-native architectures (AWS SageMaker, GCP Vertex AI). Data Engineering & Pipeline Automation Build robust ETL/ELT pipelines for structured/unstructured data using SQL, Spark, and Apache Airflow. Implement feature engineering workflows and ensure data quality for large-scale datasets (1M+ records). Cross-Functional Collaboration Partner with product, risk, and engineering teams to operationalize models into business applications (e.g., credit risk systems, customer segmentation tools). Mentor junior engineers and lead code reviews to maintain best practices in MLops workflows. Model Governance & Compliance Develop monitoring frameworks for model drift, bias detection, and performance degradation. Ensure compliance with regulatory standards and internal governance policies. Innovation & Research Stay ahead of industry trends (e.g., LLMs, generative AI) and prototype solutions using no-code platforms. Publish internal white papers on novel methodologies and present findings to stakeholders. Technical Requirements Core Skills: Python (expert), R (intermediate), SQL, Apache Spark, Apache Arrow, Pydantic Machine Learning: Regression, classification, clustering, deep learning (CNNs, RNNs) Frameworks: scikit-learn, PyTorch, TensorFlow, Hugging Face, MLflow Cloud: AWS/GCP/Azure or any cloud platform, Docker, Kubernetes Domain Expertise (Preferred): Financial services (PD/LGD modelling, ECL calculations, risk analytics) Experience with no-code platforms is a bonus Knowledge of regulatory frameworks (Basel III, IFRS 9) Soft Skills & Culture Fit Ownership Mindset: Take end-to-end responsibility for projects, from ideation to deployment. Collaboration: Excel in cross-functional teams with clear communication to technical and non-technical stakeholders. Innovation: Continuously explore emerging tools (e.g., LLMs, AutoML) to solve business challenges.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Strong understanding of credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Strong problem-solving mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more