201 Risk Analytics Jobs - Page 6

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

About Us At ANZ, were shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role ANZ is currently hiring for two roles in the Markets Risk Methodology team a Quantitative Analyst, and a Senior Quantitative Analyst. As a Quantitative Analyst / Senior Quantitative Analyst for MARKETS RISK METHODOLOGY (MRM) in our Global Markets Risk team, you ll play a key role in development, enhancement, and ownership of market risk models and methodologies supporting Traded Market Risk (TMR), Non-Traded Market Risk (NTMR) and Counterparty Credit Risk (CCR) - including regulatory capital models and internal risk metrics (e.g., VaR, RNIV, Stress Testing). You are expected to support or lead complex methodological changes or capital reform initiatives and act as a trusted advisor on market risk measurement practices, ensuring the modelling framework remains fit-for-purpose and appropriately calibrated to evolving market conditions and regulatory requirements. The role requires expertise in quantitative modelling, regulatory frameworks, and risk analytics, with a strong focus on ensuring model integrity, accuracy, and compliance. Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours. Role Location: Bengaluru Role Type: Permanent, Fulltime What will your day look like? As a Senior Quantitative Analyst , you will: Lead the design, development, and implementation of market risk models for regulatory capital and internal risk metrics (e.g. VaR, RNIV, Stress Testing). Support / lead regulatory and strategic change programs by delivering methodology components that underpin accurate capital and risk measurement. Partner with Finance / Treasury / Front Office to ensure alignment of methodology with business economics and accurate reflection of risk in financial reporting. Keep abreast of changes in operating environment and regulations (APRA or International regulation as required) and provide strategic advice to the Head of Traded Market Risk (TMR) / Head of Non-Traded Market Risk (NTMR) / Head of Counterparty Credit risk (CCR) / Group General Manager Markets Risk. Lead model change initiatives, including remediation of regulatory findings, internal reviews, and audit observations. Ensure full compliance with model governance, internal controls, and risk policies, including documentation and sign-off processes. What will you bring? To grow and be successful in this role, you will ideally bring the following: 8+ years (Quantitative Analyst) / 10+ years (Senior Quantitative Analyst) of experience in financial markets, with strong exposure to traded products across multiple asset classes and risk types, particularly in Traded Market Risk (TMR) and Counterparty Credit Risk (CCR). Deep quantitative and technical expertise, ideally supported by an advanced degree (e.g. Master s or PhD) in Quantitative Finance, Financial Engineering, Mathematics, Physics, or a related discipline. Strong programming and computational finance skills, with proficiency in language commonly used for model development or analysis (e.g. Python, R, C++, MATLAB). Comprehensive understanding of market risk concepts and methodologies, including Value-at-Risk (VaR), Expected Shortfall, Stress Testing, Monte-Carlo simulation, PFE, XVA. Strong knowledge of regulatory capital frameworks, particularly Capital Adequacy: Market Risk; experience with model governance and regulatory submission processes. Excellent communication, interpersonal, and stakeholder management skills, with the ability to clearly explain complex quantitative topics to non-technical audiences, influence decisions, and represent Risk in senior-level discussions. Demonstrated ability to work cross-functionally, engaging effectively with Risk, Front Office, Finance, Technology, Audit, and Regulators. Proven leadership and mentoring capability, with experience guiding junior quants or managing contributors as part of larger project delivery. Experience in regulatory engagement and audit interactions, including ability to lead responses to regulatory reviews, internal audits, and model validation challenge. Familiarity with risk system architecture, including data pipelines, risk engines, and market data infrastructure. Industry certifications (e.g. FRM, CQF) are advantageous but not essential. You re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we d love to hear from you. So why join us? From the moment you join ANZ, youll be doing meaningful work that will shape a world where people and communities thrive. But its not just our customers wholl feel your impact. youll feel it too. Because at ANZ, youll have the resources, opportunities, and support you need to take the next big step in your career. Were a diverse bunch at ANZ in different roles, different locations, doing different things. Thats why we have a range of flexible working arrangements, so our people can make work, work for them. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more. At ANZ, youll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. Thats because were committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 97004. Job Posting End Date 06/06/2025 , 11.59pm, (Melbourne Australia)

About this role Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. Team Overview You will be working on BlackRocks investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a member of Aladdin Engineering, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 4-8 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications & own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue Our benefits . Our hybrid work model . About BlackRock . .

About this role About this Role At the heart of BlackRock, the largest investment management firm in the world, is the Aladdin Product team. Being a member of Aladdin Product means working with the industry s thought leaders to build innovative and forward-looking products that shape the financial markets. We build next-generation technology that changes the way global investment firms manage their investments. Sitting at the intersection of business and technology, Product Managers work closely with Aladdin developers and other stakeholders to innovate, conceptualize, design and pilot new capabilities to simplify our clients biggest problems. As a Product Manager passionate about Aladdin Accounting, you will be responsible for leading, managing, and executing on our product vision. About Aladdin & Aladdin Accounting Aladdin is our operating platform to manage financial portfolios. It unites client data, operators, and technology needed to manage transactions in real time through every step of the investment process. Aladdin exists so that every financial professional can understand investment decisions and act with clarity. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making. Aladdin Accounting extends the scope of Aladdin, providing our clients a single, front-to-back investment platform with comprehensive investment accounting. The platform builds a connective tissue for thousands of users investing worldwide. Key Responsibilities: Define best practices for investment accounting processing Communicate accounting concepts to internal and external (client) stakeholders Work closely with Aladdin Accounting and product build teams to efficiently build workflows Analyze and research accounting data, working with partner teams to mitigate client challenges Explain accounting calculations to internal and external stakeholders Configure and establish system elections, client ledgers, and accounting elections Lead with a data driven mindset that tracks and measures usage and metrics to advise product strategy and deployment strategy Be a market structure expert - stay attuned and be ahead of industry, market, and technology trends to build opportunities for BlackRock and better serve our clients Desired Qualifications: 3-7 years of work experience in the financial services industry, Chartered Accountant (CA) is a plus Full professional proficiency in written/spoken English Experience with a variety of accounting standards (e.g., IFRS, US GAAP, Local GAAPs) as they pertain to investment accounting Experience using OMS / Accounting systems and/or successful track record in technology implementations of investment software Experience with accounting processes including reconciliation, ledger/trial balances, income analysis, accounting elections or accounting interfaces/reporting. Deep understanding of asset classes (Securities, Alternatives, Mortgage Loans, or Derivatives) Well-organized with the ability to prioritize with a hands-on approach, ability to schedule and manage tasks effectively, conflict resolution, problem solving, risk management Familiarity with product and software development lifecycles is a plus Our benefits . Our hybrid work model . About BlackRock . .

About this role Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. Team Overview You will be working on BlackRocks investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a member of Aladdin Engineering, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 4-8 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications & own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue Our benefits . Our hybrid work model . About BlackRock . .

About this role Team Overview The role sits in Aladdin Client Experience (ACX) within Aladdin Client Business (ACB), which is a centralized group who are responsible for supporting Aladdin clients and BlackRock Internal user services that covers Aladdin data of fixed income, equity, and alternatives products. The chapter helps our clients and portfolio managers better understand their portfolio exposures, strategy, and risk & returns. Every day, the ACX team tackles the hardest, most sophisticated analytical problems in FinTech. We utilize our in-depth understanding of Aladdin, our clients businesses, and the investment management process to provide exceptional client service to our rapidly growing, global client base. We all come from varied educational backgrounds, bring unique skills and experiences to the table, but share a serious passion for solving tough problems for our clients, adding value to their business and keeping our clients happy. In addition, the team works with Business, Technology and Aladdin Data partners to extend and evolve the data platform. This team is a fast paced and exciting environment with team members who all share a curiosity about Finance and Technology. Role Responsibility Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded in Aladdin. Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database. WExhibit attention to detail when quality checking Green Package analytics and be accountable for the timely delivery of reports to our clients in accordance with Service Level Agreements. Engage in meetings with end-users of Aladdin from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients. Support client/user requests related to the Aladdin analytics. Be a Student of the Markets by following the global markets daily to understand how macro-economic factors can affect the analytics and portfolios management s risk and investment decisions. Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our sophisticated client demands. Show desire to work in a constantly evolving, changing and challenging environment. Experience 5+ years in financial or technology industry Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change. Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spread, Beta and VaR would be an advantage. Excellent communication and presentation skills in both Spanish and English. Must possess strong verbal and written communication skills and be able to develop good working relationships with partners. Good understanding of SQL to help dive into Aladdin Database for investigations. Technical skills (UNIX, Python and PERL) are preferred but not necessary. Must be detail orientated, possess initiative and work well under pressure. Degree in Finance, Engineering or Technology would be preferred. Given that the nature of this role is Finance and Technology (FinTech) centric, we would like candidates who demonstrate an interest in learning these aspects of the job. Change SQL to required skill, updated Aladdin Service to ACX Our benefits . Our hybrid work model . About BlackRock . .

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team either in full or in part is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to Business-As-Usual phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as we'll as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc along with basic statistical concepts

Job Description Summary What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts Additional Job Description Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . The Role: As part of Dun Bradstreets Data Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun Bradstreet initiatives. Key Responsibilities: Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes. Establish and maintain strong relationships with key business stakeholders. Engage clients and DB colleagues to identify business needs and develop, implement, and manage solutions. Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders. Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting. Develop Global Analytic Solutions inclusive but not limited to statistical models based on DB s established best practices, methodologies, and tools. Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases. Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions. Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies. Validate the performance of existing quantitative risk models and recommend changes when necessary. Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills Master s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). 7+ years operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives. Hands-on experience applying modern machine learning techniques. Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL). Experience in feature engineering, automation, network analysis or Natural Language Processing. Experience working with outside clients on statistical engagements. Ability to manage multiple assignments, many of which have challenging timelines. Ability to work independently, as well as collaborate effectively in a team environment. Excellent communication and presentation skills. Proficiency in Microsoft Office Suite. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. . .

Job Location: Bangalore or Pune We are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLM), Cognitive AI, and Machine Learning to drive innovation in AI-driven solutions. The ideal candidate will have strong Python programming skills and a deep understanding of TensorFlow, PyTorch, NLP, and deep learning frameworks . You will work on cutting-edge AI/ML projects, leveraging generative AI and cognitive computing to build intelligent models that enhance business decision-making, with a strong focus on abuse detection, fraud prevention, and risk management Key Responsibilities: Develop and fine-tune Large Language Models (LLMs) to improve natural language understanding, text generation, and conversational AI. Design and implement cognitive AI models that enhance machine-human interactions and decision automation. Build fraud detection and abuse management models using advanced AI/ML techniques to identify anomalies, behavioral patterns, and security threats. Work with deep learning frameworks like TensorFlow, PyTorch, and Keras to build and optimize AI models. Utilize NLP techniques (tokenization, named entity recognition, sentiment analysis, text summarization) for unstructured data processing. Perform statistical analysis and hypothesis testing to drive data-driven insights. Use Numpy, Pandas, Scikit-learn for data preprocessing, feature engineering, and model evaluation. Deploy AI/ML models using MLOps, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) . Work with big data technologies such as Spark,Dask, and Hadoop for large-scale data processing. Collaborate with cross-functional teams (engineering,product, and business teams) to integrate AI models into applications. Stay updated with the latest advancements in AI, cognitive computing, fraud detection, and generative models to enhance AI capabilities. Must-Have Skills: Programming: Python (Numpy, Pandas, Scikit-learn), SQL AI/ML Frameworks: TensorFlow, PyTorch, Keras Natural Language Processing (NLP): NLTK, SpaCy, Transformers, Hugging Face Cognitive AI & LLMs: OpenAI GPT, BERT, LLaMA, Bloom, LangChain Abuse & Fraud Detection: Anomaly detection, behavioral analytics, risk scoring models Big Data & Cloud: Spark, Hadoop, AWS/GCP/Azure MLOps & Deployment: Docker, Kubernetes, CI/CD pipelines Mathematical & Statistical Skills: Probability, Linear Algebra, Optimization Deep Learning & Neural Networks: CNN, RNN, Transformers, GANs Good-to-Have Skills: Experience with vector databases (FAISS, Pinecone, Weaviate) for AI search and retrieval. Hands-on experience with AutoML tools like H2O.ai, Google AutoML, or DataRobot. Familiarity with reinforcement learning and multi-agent systems . Exposure to AI ethics, model interpretability, and explainable AI (XAI) . Knowledge of Graph Neural Networks (GNNs) and Knowledge Graphs . Education & Experience: Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field . 4-7 years of hands-on experience in AI/ML, cognitive computing, and NLP. Why Join Us? Work on cutting-edge AI projects with a team of experts. Opportunity to develop and deploy generative AI models for real-world applications. If you're passionate about cognitive AI, Abuse Management, LLMs, fraud detection, and data science , apply now!

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit operations. Roles and Responsibility Manage and process loan applications according to company policies and procedures. Conduct thorough credit analysis and risk assessments to determine client creditworthiness. Develop and maintain relationships with existing clients to ensure timely payments and resolve any issues that may arise. Collaborate with internal teams to identify new business opportunities and grow the bank's customer base. Monitor and report on credit portfolio performance, identifying areas for improvement and implementing strategies to mitigate risks. Ensure compliance with regulatory requirements and industry standards in all credit-related activities. Job Requirements Strong knowledge of credit operations, including credit scoring, underwriting, and risk assessment. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and colleagues. Proficiency in Microsoft Office and other banking software applications. Ability to work in a fast-paced environment, meeting deadlines and achieving targets. Strong analytical and problem-solving skills, with attention to detail and accuracy. Experience working in a similar role within the BFSI industry is preferred.

Key Responsibilities This position is for an Analyst with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk models (IRB, IFRS9, Custom Scorecards and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation profiling analyses, assist business implementation of sophisticated Regulatory and Scoring models and providing analytic support to Standard Chartered businesses across the globe. Skills and Experience Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Verbal/Written communication Presentation skills Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline Good understanding of retail banking / small business / consumer finance products and business life-cycles (e. g. sales, underwriting, portfolio management, marketing, collections) 0-2 in-depth years experience in hands-on Statistical Modeling in credit risk for retail banking / small business / consumer finance portfolios Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis Hands-on experience in mining data and understanding data patterns Experience in directly interacting with Business and exposure to International markets will be a plus About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 29835

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Business Analyst Business: HSBC Global Private Banking Wealth Principal responsibilities Support the management of core business activities across Models, relating to: (1) Model Design, Development, Validation Implementation, (2) Model Portfolio, Risk Analytics Risk Mitigation, (3) Model Monitoring, Control, Standards Documentation, and (4) Model Governance across HSBC Group, Policy Regulatory Risk. The roleholder will be responsible for development of investment and wealth models - (i) designing and execution of product risk ratings for Mutual Funds, Bonds, Structured Products and Stocks. (ii) design and maintain the Strategic Asset Allocation (SAA) and Aladdin advisory model used for Advisory and Discretionary businesses. (iii) Help develop Artificial intelligence (AI) model applications for Global Private Banking Wealth business. (iv) Develop different propositions and client capabilities to support investing framework, margin trading, etc. As an expert in investment product risk, they will also provide key enhancements into designing future state methodologies for investment models. Optimise Expected Credit Losses (ECL) and Risk Weighted Assets (RWAs) Work across Global Private Banking to effectively manage model risks, increase model coverage and implement globally consistent model systems, standards, policies, processes, methodologies and governance across all regions. Engage with stakeholders across all areas, business functions, and regions in identifying local regulatory issues, feeding these requirements into global model program design and ensuring compliance with global and local model regulations. Develop and review models according to feedback or requirements from our stakeholders, prepare pre-implementation validation reports for local use (countries or legal entities), develop models specific to a country or a business if required by regulators, support annual model validations, check the run, monitoring and validation of data, develop model prototypes, implement models, UAT of the models, and maintain official model documentation. Administrate global and local governance through the Model Oversight Forum and other technical committees, Audit, oversight the global and local model output to ensure its being appropriately used, and support the local and global business teams in model use. Run the model, produce global and local results, rollout models to new legal entities as required, run stress tests, document the processes, calculation runs and checks, monitor the model, and statistically validate the input data (scenario and internal loss data). Enhance Data infrastructure to support all credit models. Requirements Undergra duate degree or equivalent. . Advanced Degree (Masters, PhD) . Function specific certification or degree (Charted Financial Analyst). Experience in Private Banking/Wealth modelling is advantageous and understanding their unique model risks when compared to other areas. Experience with Stress testing regulatory articles and ability to scope them to Private Banking is advantageous. An understanding of investment, banking, credit and insurance products and services is an advantage. Effective presentation, interpersonal, negotiation, communication and analytical skills. Recognised strong organisational skills. Knowledge of authoring policies, standards, governance lifecycle process, frameworks, and Target Operating models. Good understanding of portfolio management techniques including analytics. Coding and modelling languages such Python, Matlab, Visual Basics. You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

About this role About the Role Are you interested in building innovative technology that transforms the financial marketsDo you enjoy working at the speed of a startup, solving some of the world s most exciting challengesDo you want to collaborate with hands-on leaders in technology and financeIf so, BlackRocks Associate - Quality Engineering role might be the perfect opportunity for you. This role presents an outstanding opportunity to work on BlackRocks investment operating system, Aladdin or equivalent experience. Aladdins advanced risk analytics and comprehensive portfolio management tools empower informed decision-making and establish a connective tissue for thousands of users investing worldwide. Joining the Aladdin Engineering group puts you at the forefront of developing next-generation technology that intersects information, people, and technology globally. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, C#/Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 1-4 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in C#/Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue Nice to Have Experience working in an Agile Development Team. Familiarity with AZURE DevOps, CI/CD integration, and associated tools and processes (Jenkins, Maven, SonarQube). Knowledge of AI and Machine Learning (ChatGPT or GitHub Copilot). Experience with Specflow/Cucumber and BDD. Experience with cloud-based testing. Experience with API testing (Postman, Soap UI). #EarlyCareers Our benefits . Our hybrid work model . About BlackRock . This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role Team Overview The role sits in Aladdin Client Experience (ACX) within Aladdin Client Business (ACB), which is a centralized group who are responsible for supporting Aladdin clients and BlackRock Internal user services that covers Aladdin data of fixed income, equity, and alternatives products. The chapter helps our clients and portfolio managers better understand their portfolio exposures, strategy, and risk returns. Every day, the ACX team tackles the hardest, most sophisticated analytical problems in FinTech. We utilize our in-depth understanding of Aladdin, our clients businesses, and the investment management process to provide exceptional client service to our rapidly growing, global client base. We all come from varied educational backgrounds, bring unique skills and experiences to the table, but share a serious passion for solving tough problems for our clients, adding value to their business and keeping our clients happy. In addition, the team works with Business, Technology and Aladdin Data partners to extend and evolve the data platform. This team is a fast paced and exciting environment with team members who all share a curiosity about Finance and Technology. Role Responsibility Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded in Aladdin. Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database. WExhibit attention to detail when quality checking Green Package analytics and be accountable for the timely delivery of reports to our clients in accordance with Service Level Agreements. Engage in meetings with end-users of Aladdin from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients. Support client/user requests related to the Aladdin analytics. Be a Student of the Markets by following the global markets daily to understand how macro-economic factors can affect the analytics and portfolios management s risk and investment decisions. Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our sophisticated client demands. Show desire to work in a constantly evolving, changing and challenging environment. Experience 1-3 years in financial or technology industry Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change. Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spread, Beta and VaR would be an advantage. Excellent communication and presentation skills in both Spanish and English. Must possess strong verbal and written communication skills and be able to develop good working relationships with partners. Good understanding of SQL to help dive into Aladdin Database for investigations. Technical skills (UNIX, Python and PERL) are preferred but not necessary. Must be detail orientated, possess initiative and work well under pressure. Degree in Finance, Engineering or Technology would be preferred. Given that the nature of this role is Finance and Technology (FinTech) centric, we would like candidates who demonstrate an interest in learning these aspects of the job. change SQL to required skill, updated Aladdin Service to ACX #EarlyCareers Our benefits . Our hybrid work model . About BlackRock . This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Key Responsibilities This position is for an Associate Director (WRB) with experience in areas of Credit Risk Scorecards and Credit Risk Strategy (cut-off analysis, line assignment et. al) for retail banking / small business lending businesses. The individual will drive delivery (2-3 engagements at any given time) of both Credit Risk Scorecards and associated Credit Risk Strategies (as well as other risk analytics) for all Retail and SME portfolios of Standard Chartered Bank. The individual is expected to be hands-on at all times. Responsibilities include understanding Standard Chartered Group requirements and working with the team in developing statistically derived predictive models, performing decision tree-based customer segmentation and profiling analyses, assisting business implementation of sophisticated risk models and providing analytic support to Standard Chartered Businesses across the globe. The individual is expected to drive timely delivery with assigned resources on an engagement, while ensuring compliance to prevailing / applicable standards / legislation / policies Strategy Strategic mindset Business Retail Business Understanding Processes Process improvement People Talent People manager Lead through example. Set clear expectations from the teams and work in collaboration with all relevant partners. Set and monitor objectives for team members and provide feedback Risk Management Manages risk Governance Adhere to governance Key stakeholders Unsecured and Secured Risk and Business Heads of Countries Head of Scorecards Group Model Validation Model Risk Policy and Governance Model Delivery Management Skills and Experience Leading and owning 1-2 engagements at any given time Ability to explain modelling outputs and inferences to Senior Stakeholder in non-technical manner Need of getting involved in on-the-ground and data activities Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering, MBA or other quantitative discipline At least 4 years of total experience in a retail banking / small business lending analytical function. Hands-on experience of 4 - 6 years, in the past in statistical modeling, mining data and understanding data patterns is an absolute necessary to lead engagements. Past exposure to statistical programming skills in SAS (preferred) or similar tools Experience in directly interacting with Business and exposure to international markets will be a plus Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. 29834

Develop deep knowledge Structured Products (RMBS, CMBS, CLO) & Vichara's platform scope out improvements, mitigate risk, troubleshooting. Create/Monitor Daily Monitoring Dashboards on Power BI and in SQL. Required Candidate profile 5+ years of work exp in investment systems and fixed income asset class & analytics and experience working with loan systems (e.g. WSO, Virtus, iLevel) and or Broadridge Sentry OMS & Geneva

Job Summary As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a member of the Wholesale Portfolio Analytics team, you will be actively engaged in the implementation of extensive industry research and analytics initiatives tailored specifically for the Wholesale Credit Risk organization. Your role will involve conducting in-depth analyses of various industries to provide valuable insights and data-driven recommendations that will enhance our understanding of credit risk within the wholesale sector. By leveraging your expertise, you will contribute to the development of robust analytical frameworks and methodologies that will support informed decision-making and strategic planning within the organization. Job Responsibilities Industry Research Perform industry research using a combination of external and internal data sources. This research is designed to provide a credit perspective on various industries, supporting the organization in making informed credit risk evaluations and strategic decisions. Thematic and Portfolio Research Manage initiatives focused on identifying and analyzing emerging risk trends. This involves synthesizing data and insights to understand the impact of these trends on industry dynamics and credit risk. Develop Industry Models Create and refine models that project financial outcomes based on macroeconomic indicators. These models assist in forecasting industry performance and assessing potential credit risks, allowing for more accurate credit evaluations. Report Writing and Presentation Compile research findings into clear, detailed reports and presentations. Communicate analytical insights to senior management and other stakeholders, ensuring that the implications for credit risk are understood and actionable. Collaborate with Cross-Functional Teams Work with various teams to integrate industry research findings into broader credit risk management processes. This includes collaborating with stakeholders to develop tools and frameworks to manage credit risk. Monitor Industry and Economic Trends Track and evaluate industry developments and macroeconomic trends, updating models and research outputs as necessary to maintain the relevance and accuracy of credit risk assessments. Technical Skills (Optional) Use Python and SQL skills to manage and manipulate large datasets. Additionally, apply Large Language Model (LLM) skills to synthesize information from multiple sources. Required qualifications, capabilities, and skills You have a bachelors or masters degree in Economics, Mathematics, Statistics, Finance, or related fields. You have a proactive approach to identifying opportunities for improvement and innovation in research processes and methodologies. You have 2+ years of relevant work experience in Financial Risk Analytics, Industry Research, or Wholesale Credit Risk Management. You have strong problem-solving abilities with a focus on conducting thorough industry research and analysis. You have attention to detail and the ability to synthesize complex information into clear insights. You have excellent communication skills, both written and verbal, with the ability to present research findings effectively. Preferred qualifications, capabilities, and skills Proficiency in crafting we'll-structured research reports, thought pieces, and trend analyses. This includes the ability to convey complex ideas clearly and concisely, tailoring content to different audiences. Understanding of relevant regulatory and compliance frameworks that impact industry dynamics and credit risk Technical Skills (Optional) - Experience with analytics and data tools such as Python, R, SQL, and other relevant technologies. A desire to leverage modern technologies as a disruptive influence within banking.

Role & responsibilities Analyze data and identify trends to develop effective debt management strategies Collaborate with cross-functional teams to implement strategies and monitor their effectiveness Conduct regular reviews of debt collection processes and make recommendations for improvement Monitor and analyze delinquency rates and develop action plans to reduce them Develop and maintain relationships with external agencies and vendors for debt collection Stay updated on industry trends and best practices in debt management and collections Prepare and present reports to senior management on debt management strategies and results Preferred candidate profile Minimum 5 years of experience in debt management or related field Strong understanding of debt collection processes and strategies Excellent analytical and problem-solving skills Ability to work independently and in a team environment Strong communication and interpersonal skills Proficient in Microsoft Office and data analysis tools

Job Title: RSKRisk Methodology Group Job Code: 9842 Country: IN City: Mumbai Skill Category: Risk Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Division Overview: The Risk Management Division encompasses the firms comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firms riskreturn profile which ensures the efficient deployment of the firms capital. It is one of the firms core competencies and is independent of the trading areas and operational areas. Business Unit Overview: Credit Risk Analytics (CRA) develops the quantitative methodologies used to measure counterparty credit risk; provides analyses and consultation on credit risk quantification, participates in global efforts on modelling credit risk exposure. This team is responsible for enhancement and methodological support of PRISM, the global counterparty credit exposure measurement system, to accommodate new business needs and maintain compliance with major regulatory standards, including SEC/NFA, PRA and JFSA. To support business/risk managers for live complex structured derivatives transactions. To work on various regulatory requirements including Back testing, Stress Testing, Model reviews, Calibration, User Acceptance Testing, Documentation of models Position Specifications: Corporate Title Associate Functional Title Associate/Senior Associate Experience 4 6 years Qualification Masters in Quantitative discipline (B.E / B. Tech+, M. Tech, MSc (Maths / Stats), Econometrics) Role & Responsibilities: This associate role within CRA Powai will be focusing on carrying out counterparty risk model development and performance review tasks for various Nomura group legal entities including US and EMEA regions. Provide analysis and consultation on credit risk quantification. Work closely with global development teams on implementation of models and systems Work on various regulatory requirements including Back testing, Model Performance reviews, Calibration, User Acceptance Testing, Documentation of models, etc. Implement risk models into strategic risk system (this includes developing methodology, building prototype, writing technical business requirement document, performing model testing, ensure compliance with regulatory requirements and liaising with model validation group). Collaborate with Risk IT in the strategic implementation of various initiatives Participate in periodic model performance review and calibration of model parameters. To aid regulatory reviews and inspections by providing necessary analysis. Mind Set: Domain Sufficient exposure to quantification of counterparty risk and regulatory landscape. Basic understanding of stochastic calculus, Derivative pricing, Monte Carlo Simulation. Proficiency in ExcelVBA/Python Strong verbal and written communication skills Organisational skills, multitasking and detail oriented Delivery focussed with the ability to work well under pressure and meet deadlines under compressed timescales The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.

We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Back testing, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist, Analytic Foundations Enabler stream In this role, you will: Leading and supporting your technology teams to design, develop and manage data engineering pipelines, CI / CD pipelines and infrastructure. Acting as a Infra / DevOps SME on the design and implementation of technology solutions around transformation of systems involved in risk analytics function on a tactical and strategic basis covering number of significant Regulatory and business transformation initiatives in the bank. Closely working with rest of the technology team members, supporting IT teams and architects to drive improvements in product. Leading and supporting day to day interactions with other IT teams / central teams for DevOps and infrastructure support. Growing the technical expertise of engineering community. Helping with designing, maintaining, and improving all aspects of the software delivery lifecycle. Enforcing process discipline and improvements in areas of expertise, such as disciplined agile software delivery, production support processes, or continuous DevOps pipelines development Requirements To be successful in this role, you should meet the following requirements: Over 5 years of experience in platform engineering, SRE responsibilities, and managing distributed/big data infrastructures. Strong hands-on experience with the Hadoop ecosystem, big data pipelines, and Delta Lake. Proven expertise in managing and optimizing Hadoop clusters (Cloudera distribution), including HDFS, YARN, and Spark, as well as working with big data processing tools and frameworks. Solid experience with HDFS, networking, Linux, and DevSecOps tools, including Docker, Kubernetes, and Jenkins. Proficiency in using Docker for containerization and Kubernetes for orchestration to manage large-scale, distributed applications. Hands-on experience in designing and managing large-scale technology projects with exposure to REST API standards and implementation. Expertise in setting up and managing monitoring and logging solutions using tools like Prometheus, Grafana, or Splunk to ensure system reliability and performance. Experience working with multiple IT teams and support teams in various geographical locations globally. Proficient coding skills in Spark (PySpark) and Python, with around 3 years of hands-on experience preferred. Strong knowledge of Infrastructure as Code (IaC) tools such as Terraform, Ansible for automating infrastructure provisioning and management. Experience with GCP or any other cloud platform and data engineering product offering is preferred. Familiarity with agile development methodologies Strong problem-solving skills and attention to detail. Excellent communication and team collaboration skills.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Below are the roles and associated skills we are looking for: Risk Data Analyst Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Knowledge of Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.