147 Stress Testing Jobs

: Job TitleEBA Stress Test Net Interest Income - Regulatory Reporting Corporate TitleVice-President LocationMumbai, India Role Description This role is responsible for supporting the end-to-end execution and regulatory reporting of the European Banking Authority (EBA) stress testing exercises for the net interest income , ensuring compliance with EBA guidelines and alignment with internal risk and finance frameworks. The candidate will play a key role in data preparation, validation, template population, and submission of regulatory deliverables, while also contributing to process improvements and regulatory change initiatives. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Assist the lead in designing an approach, developing the process, and execution of EBA stress testing of net interest Income for the DB group. Interpret and implement EBA guidelines and methodologies, ensuring alignment with internal risk frameworks. Collaborate with Finance, Risk, and Business teams to gather, validate, and analyze NII data inputs. Understand and assist in building models and assumptions for projecting NII under baseline and adverse scenarios. Actively participate in data governance frameworksandquality assurance best practices. Prepare and present detailed reports and insights to senior management and regulatory bodies. Drive continuous improvement in stress testing processes, automation, and governance. Actively participate and assist in leading change agenda, including UAT etc. Monitor regulatory developments and assess their impact on stress testing requirements. Your skills and experience Basic understanding of IFRS 9 , particularly in the classification and measurement of financial instruments and hedge accounting. Proficient in handling big data , with experience managing large and complex datasets across multiple systems (e.g., finance, risk, treasury). Advanced knowledge of core banking products , including loans, deposits, repos, and reverse repos. Strong understanding of interest rate derivatives , such as swaps, caps/floors, and their impact on financial performance. Proficiency in programming and ETL tools , including Python, Alteryx, and Tableau, is preferred. Prior exposure to EBA stress testing , including familiarity with EBA templates, scenario assumptions, and regulatory expectations, is an advantage. General understanding of macroeconomic indicators , such as GDP, inflation, unemployment, and interest rates. Competent in statistical analysis techniques , including normal distribution, standard deviation, correlation, and regression. Solid mathematical foundation , particularly in linear algebra and financial mathematics. 10+ years of experience in regulatory reporting or data analytics, preferably from BITS/IIT with additional professional qualifications such as CFA or FRM or regulatory reporting consulting background from Big 4s. How well support you . . . .

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

Develop and execute performance test scripts using JMeter. Analyze system performance under load conditions and identify bottlenecks. Optimize application scalability and response times.

Conduct performance testing using HP LoadRunner. Identify bottlenecks and optimize application performance.

Interacting with patients in a compassionate and empathetic manner, explaining the purpose of the cardio and sleep test, and providing clear instructions on how to use the device properly. Setting up the cardio and sleep testing device at the patient's home, ensuring it is functioning correctly, and providing thorough instructions on how to operate it safely and effectively. Troubleshooting and Repairs: Diagnose technical issues with medical devices, identify root causes, and implement timely repairs to minimize downtime.

As an Applied R&D Software Engineer, you will be an integral part of our Product & Engineering, Subscriber Signaling and Policy - Registers team. You will focus on deepening your understanding of Subscriber Data Management, protocols, and the latest cloud and software technologies. You will also gain insight into important product aspects such as performance, ease of use, robustness, and security. We take a pragmatic approach to software development, believing that technology should ultimately serve the purpose of creating exceptional products. We encourage you to look ahead, uncover new opportunities, and contribute to driving innovation while applying your expertise in software engineering to build solutions that make a real impact. You have: 7 Years of experience in Functional testing withPython/ROBOT scripting knowledge or hands on development experience with Advanced C++ programming & design patterns Knowledge in Analysis, Design, Development, module testing, unit testing & functional testing and familiar with debugging and memory profiling tools Experience in - Cloud Infrastructure (OpenStack/VMware), & cloud native technologies Docker & Kubernetes It would be nice if you also had: Proven exposure of protocol functional tests, automation and preferable exposure to performance/Load and Stress tests/tools. 2G/3G/4G/5G Core Network knowledge is desired, preferable to have knowhow about HLR, HSS, UDM, EIR & exposure to 3GPP standards. Demonstrates independence and raises innovative ideas. Understanding of performance & robustness aspects of telecom products, preferably core products. Realization (Analysis, Development, Implementation) of Registers features, customer issues resolutions, enhancements, change requests with Analysis, designing frameworks, Scripting, Verification & leading team. Technical consultation on development & testing activities of Registers Network Functions including Architecture. Handling of Feature delivery & maintenance topics. Responsible for the product quality & deliverables for new features and handling customer issues. Learn to perform high-level and low-level design of the component/functional area. Take ownership of end-to-end quality assurance of features/components

As an Applied R&D Software Engineer, you will be part of a dynamic team responsible for researching, architecting, designing, developing, and testing software for our products, services, systems, and tools. Your role will involve defining, creating, integrating, verifying, and modifying software system components, utilizing innovative solutions to meet customer requirements and specifications. You will apply principles and techniques from computer science, engineering, and mathematical analysis to drive software development, ensuring the creation of robust, scalable, and efficient solutions. Collaboration with cross-functional teams will be key as you work to enhance the performance and functionality of our software products while continuously learning and contributing to the evolution of cutting-edge technologies. You have: 12 years of experience in functional testing with Python/ROBOT scripting knowledge or hands-on development experience with advanced C++ programming and design patterns. Expertise in analysis, design, development, module testing, unit testing, and functional testing. Familiarity with debugging and memory profiling tools. Experience with cloud infrastructure (OpenStack/VMware) and cloud-native technologies such as Docker and Kubernetes It would be nice if you also had: Proven experience in protocol functional tests, automation, and preferably exposure to performance/load and stress tests/tools Knowledge of 2G/3G/4G/5G Core Network is desired, with a preference for familiarity with HLR, HSS, UDM, EIR, and exposure to 3GPP standards. Demonstrates independence and contributes innovative ideas. Understanding of performance and robustness aspects of telecom products, preferably core products. Realization (Analysis, Development, Implementation) of Registers features, customer issues resolutions, enhancements, change requests with Analysis, designing frameworks, Scripting, Verification & leading team. Technical consultation on development & testing activities of Registers Network Functions including Architecture. Handling of Feature delivery & maintenance topics. Responsible for the product quality & deliverables for new features and handling customer issues. Learn to perform high-level and low-level design of the component/functional area. Take ownership of end-to-end quality assurance of features/components.

Project description We've been engaged by a large Australian financial institution to provide resources to their upcoming Murex Binary Upgrade project. This Bank is considering moving from the Current Murex version 42 to latest higher version ( V56 or 58) to include changes Majorly impacting the Collateral / Market Risk / Credit Risk/ Ops and settlement functionalities and modules. There are also some impacts in MX technical areas, Reporting and EODs. We require an experienced Murex Senior Credit Risk Consultant as a part of this upgrade project. Responsibilities Functional testing of various modules of Murex (Manual and MxTest) Execution of the entire Trade and Event Lifecycle, test scenarios, and test cases Perform file/Table reconciliation and first level of analysis on test results Identify opportunities for further test automation or efficiencies through automation Working collaboratively with other teams during test preparation and execution activities Proactive investigating and debugging of application defects Producing clear and concise reports during the lifecycle of an automation project Skills Must have Overall, 6 to 7 years of experience in testing. 4 to 5 years of experience in Murex 3.1 functional testing. 2 to 3 years of experience in MX Test. Good Functional knowledge (across products) Experience on Murex Integration testing/ exposure to regression testing. Experience across Market Data Systems and tools is a plus. Good knowledge of Global Markets across multiple asset classes. Design and document manual test cases to include the full test coverage required. Review and quality assure test cases. Configure, execute, and report on test phases/test cycles. Working with the project team and vendor to ensure timely resolution of defects. Ability to work with (or willingness to learn) common technologies surrounding the Murex platformAutosys, Unix, Jenkins, Bitbucket, GIT, JIRA. Experienced in building a test automation suite and repeatable testing processes (desirable). Nice to have Experience working on Murex Binary Upgrade project. Exposure to any of the Automation tools, ORQA, Selenium, etc. NFT preparation and Execution. Stress Testing /Endurance Testing experience. Preparation of Heat Map and Analysis. Other Languages EnglishC1 Advanced Seniority Senior

Project description As a Business Analyst specializing in Risk, you will play a key role in understanding and translating business requirements into technical solutions. Working closely with stakeholders, you will analyze and document business processes related to risk management, identify areas for improvement, and collaborate with cross-functional teams to implement effective solutions. The successful candidate will bring a combination of business acumen, analytical skills, and a deep understanding of commercial lending practices. Responsibilities Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, and flowcharts for developers and testers to follow Recovering the design, requirement specifications and functions of a system from an analysis of its code Translate non-technical requirements into clear technical specifications; Preparing OpenAPI specifications for new REST-services Define and coordinate the execution of testing procedures and develop test cases to serve the overall quality assurance process Management of inter-team dependencies Decompose requirements into features and stories Maintain system knowledge base Participate in support, analysis and troubleshooting of production issues Participate in the optimization of internal team processes Skills Must have 10 + years of experience Hands-on with business analysis, testing,project management activities (agile methodologies) and Stress Testing models. Experienced candidate with ability to gather, specify and clearly document business & functional requirements. Candidate must have experience in delivering project in risk management techniques like VaR, Liquidity risk and Stress Testing models. Understanding of data used in Risk and Finance with strong knowledge in financial derivative products. Preferred FRM certified. Excellent written and verbal communication skills Nice to have N/A Other Languages EnglishB2 Upper Intermediate Seniority Senior

Oversee and monitor the portfolio of affordable home loans, identifying potential delinquencies, credit risks, and early warning signs of portfolio stress. Analyze regional trends and develop a targeted risk scoring system to categorize and prioritize loan accounts based on risk level. Conduct in-depth analysis of delinquent accounts within the state, understanding borrower circumstances and identifying potential solutions. Collaborate with regional and branch teams to gather additional information and assess risk factors specific to the state market. Report risk trends and portfolio health to national Risk Containment Unit and regional management, providing insightful recommendations for proactive risk mitigation. Review and analyze industry best practices and regulatory requirements related to risk management and loan loss mitigation, with a focus on state-specific considerations. Provide guidance and training to regional and branch teams on state-specific risk containment procedures and best practices. Stay informed about changing regulations and industry trends, ensuring state-level policies and procedures adapt accordingly. Develop EWS System and Stress Testing Module and monitor the same

: Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What well offer you : 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How well support you . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleTreasury Model Validation Specialist Corporate TitleAssistant Vice President LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for the management of model risk in DB Group. This includes the independent validation of risk models as well as the identification, monitoring & controlling of model risk. Our aim is to identify, aggregate, manage and mitigate model risk across all risk types (market, credit, liquidity, operational and business risk). MoRM is located in Frankfurt, London, New York, Berlin, Bonn and Mumbai. For our team Treasury Model Validation, being responsible for the validation of all models owned by Deutsche Bank Treasury and legal entities like BHW, which includes IRRBB (Interest Rate Risk in the Banking Book) and liquidity risk models, we are looking for a model validation specialist located in Mumbai. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Challenge, analyse, test, and independently validate mathematical and statistical risk models used by DB Treasury (mainly interest rate risk and liquidity models). Design and implementation of challenger models. Creation of validation reports and communication of validation results in various fora. Collaborating in the development and maintenance of an internal Python library to improve the efficiency of testing and documentation. Engaging with the due diligence aspects of the New Product Approval Process, and oversight of model governance for Treasury products. Your skills and experience Graduate degree in mathematics or mathematical finance, statistics, physics, or a comparable education or equivalent qualification (PhD or equivalent is not required but would be beneficial). At least 3 years of experience for AVP in model validation, other quantitative risk management role or Front Office quantitative discipline or experience in academic research. Strong understanding in financial markets (especially of risk management models, methodologies, and regulations for banking book), demonstrated by qualifications and experience. Prior experience with Interest Rate Risk / Liquidity risk will be very useful. Strong analytical skills & proven ability to structure and solve problems independently. Experience with programming languages and using related tools (e.g. Python, LaTeX). The ability to explain complex mathematical concepts and results to stakeholders. Self-motivated and solution-oriented team player. Excellent written and verbal skills in English. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Roles and Responsibilities Develop and maintain market risk framework, including VaR model validation, stress testing, and scenario analysis. Collaborate with trading desks to understand their activities and provide guidance on market risks. Prepare daily liquidity reports, monitor cash flows, and ensure compliance with regulatory requirements (LCR & NSRF). Conduct regular reviews of ALM systems and processes to identify areas for improvement. Provide insights into interest rate risk exposure through variance analysis. Desired Candidate Profile 4-9 years of experience in Market Risk management or related field. Strong understanding of Liquidity Reporting, Interest Rate Risk, VAR, Stress Testing concepts. Proficiency in Mid Office functions such as ALCO modeling.

Job Title: QA Engineer - Automation Regression Testing | Scale & Stress Testing Location: [Remote / Hybrid / Onsite Any Location] Contract Duration: Minimum 1 Year Work Type: Onsite Location : Banglore Overview: We are actively hiring multiple QA Engineers to join our team on a long-term contract basis. We have open positions across different QA domains, including Automation & Regression Testing and Scale & Stress Testing . This is an exciting opportunity to work in a technically challenging environment with a focus on networking, Python automation, CI/CD integration, and modern test frameworks. Whether you're experienced in regression automation, UI testing, or performance benchmarking, we encourage you to apply and be part of our growing QA team. Key Responsibilities: Design, implement, and maintain automated test suites using Python. Develop and execute robust regression tests and performance test cases. Create, manage, and monitor CI/CD-integrated automation pipelines. Analyze system and application performance under load and identify bottlenecks. Work closely with developers, DevOps, and product teams to ensure high-quality releases. Write clear test documentation, bug reports, and maintain traceability of test coverage. Drive automation across both backend APIs and frontend UI, including tools like Playwright. Technical Skills & Requirements: Strong Python programming skills for automation and test scripting. Experience with networking protocols (TCP/IP, HTTP/HTTPS, DNS) and networking test automation. Regression testing experience including test case development and execution. Experience with UI test automation , preferably using Playwright (via ROBO or equivalent frameworks). CI/CD pipeline setup and integration experience (e.g., Jenkins, GitLab CI, CircleCI). Experience with scale and stress testing of systems and applications. Familiarity with AWS services and APIs (EC2, S3, Lambda, etc.). Knowledge of Docker and Kubernetes is a plus. Prior use of infrastructure automation tools like Terraform or Ansible is a bonus. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Minimum 1+ years of relevant QA engineering experience . Excellent analytical, troubleshooting, and communication skills. Ability to work independently in a remote/distributed team environment.

Details The ERM manager will play a key role in implementing and overseeing the organizations risk management programme. framework.He/She will be responsible for working with process owners in identifying, assessing and mitigating the risks as well as designing and implementing continuous monitoring of critical risks by the first line of defence. He/She will be responsible for performing independent stress testing and sharing findings with management. The incumbent will work with central team in infusing technology in risk management, defining and implementing system based rules for stress testing. Roles and Responsibilities Collaborate with Functions on risk identification, assessment, and mitigation Helps prepare and execute continuous monitoring of identified risks Develop and implement stress testing frameworks Conduct regular stress testing and identify process gaps and anomalies Prepare and present detailed reports on stress test results to senior management Continually improve the stress testing program to adapt to changing risk landscapes Lead and support on automation/AI initiatives SKill Required Strong knowledge of risk management, stress testing and anomaly detection methodologies Proficient in data analysis Should have good attention for details, good interpersonal, oral, and written communication skills with ability to communicate with all levels of management. Stakeholder Management- Should be able to make presentations to Function heads on risk topics Ability to Recruit and build a high performing team, mentor and motivate team members, manage team performance and ensure necessary training for team members Ability to work in high pressure environments and deliver high quality work Good knowledge of excel, power BI, MS Office Project management Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

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.

We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: D evelop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and non-functional requirements are met. Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. Validate the system s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. Conduct regression testing after each update to ensure previous features remain functional and efficient. Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Required Skills and Qualifications: Bachelors degree in Computer Science , Engineering, or a related field. Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. Proficient in test automation tools and frameworks for both functional and non-functional testing (eg, Selenium, JUnit, etc). Strong understanding of API testing and experience using API testing tools like Postman. Excellent problem-solving skills with a focus on quality and attention to detail. Experience in agile software development methodologies. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Experience working with conversational AI platforms Familiarity with testing frameworks for AI models Knowledge of multilingual and multi-accent conversational testing. Understanding of user experience (UX) testing for voice interfaces. Experience in performance and load testing for AI systems.

QA - Mid Level - .Net Migration2 Responsibilities: Collaborate on developingQEstrategies and tailored plans for migrating individualapplications, considering factors like dependencies, performance, and compliance. Work closely with the Pipeline team to establishQEprocesses within application-specific CICD pipelines for both on-premises and cloud deployments. Conduct comprehensiveQEtesting, including functional, integration, and performance testing, to validate the effectiveness of migratedapplications. DocumentQEprocesses, configurations, and best practices for knowledge sharing and future reference. Provide guidance and support to team members throughout themigrationprocess, assisting in troubleshooting and resolvingQE-related issues. Roles: AWS Migration Testing Validate the migration strategy and ensure data integrity during migration process Perform Sanity and regression testing post-migration to confirm that the app functions as expected in new AWS env Test Cloud-specific features such as scalability, availability and security settings Experience with Docker/Kubernetes Integration (e2e)/Collaboration If impacting Simulate real-world scenarios to ensure the app meets business requirements Performance Testing Design and execute performance tests to measure the system's behavior under various load conditions Identify Performance bottlenecks and work w Dev and infrastructure team to resolve Conduct Stress Testing, load testing and endurance testing to ensure the app can handle peak time loads Test Automation Generate detailed test reports that include performance metrics, bottlenecks and areas for improvement Collab and Communication Document the test strategy, test cases and results for future reference and compliance purposes Work closely w Infrastructure and Dev teams to ensure the testing env is correctly set up Provide Feedback and insights during planning sessions to help shape the migration strategy and testing environment strategies

Our global investment banking client is looking to hire a Treasury Analyst who will be responsible for both project-based and BAU (Business-As-Usual) support across key treasury functions, including Funds Transfer Pricing (FTP), P&L forecasting and simulation, technical tool support, and ad-hoc analysis. This is an excellent opportunity to work in a high-visibility role supporting global treasury desks and driving analytical excellence. If you are a dynamic professional looking to drive impactful rewards strategies in a global environment, we encourage you to apply. Please contact Krati Arora or email your cv directly in word format with job reference number 15051 to Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful. Apply for this Job Key responsibilities Run day-to-day (BAU) processes for Treasury P&L forecasting and analytics. Analyze and decompose Treasury desk P&L, supporting key decision-making. Provide analytical walkthroughs, business explanations, and ad-hoc analysis to internal stakeholders and senior business partners. Analyze and interpret market risk exposures, including interest rate risk and credit spread risk. Present and explain FTP rate analysis across different product segments. Support key project deliverables, including the development and enhancement of forecasting models, FTP scenarios, and balance sheet optimization tools. Review and validate underlying assumptions used in modelling and scenario simulations. Role requirements 3-8 years of experience in treasury analytics or reporting within a top-tier global bank or financial institution. Strong knowledge of bank balance sheet structure, regulatory liquidity, and key profitability metrics like NIM and GIM. Conceptual understanding of bank stress testing frameworks and risk-based capital planning. Ability to engage and communicate effectively with senior stakeholders, project teams, and cross-functional business groups. Excellent communication skills in English both written and verbal. Bachelor s or Master s degree in finance, Economics, or quantitative discipline, CFA or FRM certifications are highly preferred. Working knowledge of SQL and either Python or Excel VBA is essential. Experience in developing or automating reporting tools and dashboards is a plus.

Assurance Quality (AQ) Engineer Department: Quality Assurance / Engineering Location: Remote Role Purpose: To ensure the highest quality standards are met for live streaming and video surveillance solutions, especially in CCTV systems. The AQ Engineer will be responsible for validating compliance with STQC (Standardization Testing and Quality Certification) norms and will perform thorough testing and verification of live video streaming functionalities, encoding/decoding quality, latency, resilience, and compatibility. Key Responsibilities: Conduct functional, performance, and security testing on live streaming and CCTV video systems. Ensure systems comply with STQC guidelines, including for government-grade video surveillance. Validate end-to-end video streaming workflows - capture, encoding, transmission, and playback. Test latency, frame rate consistency, resolution standards, and night vision capabilities. Ensure compatibility across various video codecs (H.264, H.265), streaming protocols (RTSP, RTMP, ONVIF). Develop and maintain automated test scripts for regression and stress testing of video systems. Collaborate with development, network, and security teams to resolve quality issues. Conduct compliance and certification testing to ensure product readiness for deployment. Generate quality reports, issue logs, and root cause analysis documentation. Required Skills Experience: Bachelor s Degree in Electronics, Computer Science, or related discipline. STQC Certification or experience working with STQC standards is mandatory . 3-6 years of experience in QA for video surveillance, CCTV, or live streaming environments. Strong understanding of video streaming protocols and CCTV camera technologies. Familiarity with tools like Wireshark, VLC, ONVIF Device Manager, and IP video testers. Experience with CCTV integration platforms, video analytics, and storage systems (NVR/DVR). Good scripting skills (Python, Shell) for test automation preferred. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of cybersecurity practices for video surveillance. Experience with cloud-based video management systems (AWS Kinesis Video, Azure Media Services). Exposure to AI-based video analytics and real-time video alert systems. Key Performance Indicators (KPIs): Number of defects identified pre-production Compliance rate with STQC guidelines Stream quality consistency (uptime, resolution, frame drop rate) Test automation coverage and execution speed Turnaround time for issue resolution

Our client, an investment firm, is looking to expand its systematic strategies platform and is hiring a Senior Quantitative Researcher in Bangalore, India. Key Responsibilities: Quantitative Research & Model Development: Design, build, and enhance statistical and machine learning models to forecast market behavior and identify trading opportunities. Advanced Data Analytics: Extract insights from large-scale historical and alternative datasets to develop predictive signals and evaluate strategy performance. Strategy Design & Deployment: Partner with trading and engineering teams to backtest strategies using proprietary platforms and support live deployment in production environments. Algorithmic Optimization: Continuously refine models and algorithms to improve execution efficiency, predictive accuracy, and robustness across various market conditions. Risk & Scalability Assessment: Conduct thorough risk evaluations of models and strategies, including stress testing and analysis of scalability constraints. Tooling & Infrastructure: Develop and maintain research tools and dashboards to support simulation, visualization, and performance tracking of trading strategies. Cross-functional Collaboration: Engage closely with developers, traders, and portfolio managers to align research goals with business objectives and ensure successful strategy implementation. Key Requirements 5+ years of hands-on quantitative research experience with a proven record of live deployment. Hold a Bachelors, Masters, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering from a top-tier institute. Proficient in programming languages like Python, R, or C++. Experience in Indian Markets and MFT. Experience with MFT strategies in Delta 1 and Options, particularly arbitrage or market making.

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Job Overview: We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: Develop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and non-functional requirements are met. Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. Validate the system s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. Conduct regression testing after each update to ensure previous features remain functional and efficient. Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Required Skills and Qualifications: 5-8 years experience and a Bachelor s degree in Computer Science, Engineering, or a related field. Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. Test Automation : Proficiency in Selenium, Appium, Cypress, Playwright, or Robot Framework for UI automation; PyTest, JUnit, TestNG for API testing. API Testing : Hands-on experience with Postman, RestAssured, or SoapUI to test AI APIs, ensuring smooth integration. Excellent problem-solving skills with a focus on quality and attention to detail. Experience in agile software development methodologies. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Experience working with conversational AI platforms Familiarity with testing frameworks for AI models Knowledge of multilingual and multi-accent conversational testing. Understanding of user experience (UX) testing for voice interfaces. Experience in performance and load testing for AI systems. MORE ABOUT SKILLSOFT: Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets - their people - and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com . Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Our global investment banking client is looking to hire a Treasury Analyst who will be responsible for both project-based and BAU (Business-As-Usual) support across key treasury functions, including Funds Transfer Pricing (FTP), P&L forecasting and simulation, technical tool support, and ad-hoc analysis. This is an excellent opportunity to work in a high-visibility role supporting global treasury desks and driving analytical excellence. Some of the key responsibilities will include: Run day-to-day (BAU) processes for Treasury P&L forecasting and analytics. Analyze and decompose Treasury desk P&L, supporting key decision-making. Provide analytical walkthroughs, business explanations, and ad-hoc analysis to internal stakeholders and senior business partners. Analyze and interpret market risk exposures, including interest rate risk and credit spread risk. Present and explain FTP rate analysis across different product segments. Support key project deliverables, including the development and enhancement of forecasting models, FTP scenarios, and balance sheet optimization tools. Review and validate underlying assumptions used in modelling and scenario simulations. To be eligible for this role you will require: 3-8 years of experience in treasury analytics or reporting within a top-tier global bank or financial institution. Strong knowledge of bank balance sheet structure, regulatory liquidity, and key profitability metrics like NIM and GIM. Conceptual understanding of bank stress testing frameworks and risk-based capital planning. Ability to engage and communicate effectively with senior stakeholders, project teams, and cross-functional business groups. Excellent communication skills in English - both written and verbal. Bachelors or Master’s degree in finance, Economics, or quantitative discipline; CFA or FRM certifications are highly preferred. Working knowledge of SQL and either Python or Excel VBA is essential. Experience in developing or automating reporting tools and dashboards is a plus.

Senior Quantitative Researcher (Bangalore, India) - Amethyst Partners Senior Quantitative Researcher (Bangalore, India) Our client, an investment firm, is looking to expand its systematic strategies platform and is hiring a Senior Quantitative Researcher in Bangalore, India. Key Responsibilities: Quantitative Research & Model Development: Design, build, and enhance statistical and machine learning models to forecast market behavior and identify trading opportunities. Advanced Data Analytics: Extract insights from large-scale historical and alternative datasets to develop predictive signals and evaluate strategy performance. Strategy Design & Deployment: Partner with trading and engineering teams to backtest strategies using proprietary platforms and support live deployment in production environments. Algorithmic Optimization: Continuously refine models and algorithms to improve execution efficiency, predictive accuracy, and robustness across various market conditions. Risk & Scalability Assessment: Conduct thorough risk evaluations of models and strategies, including stress testing and analysis of scalability constraints. Tooling & Infrastructure: Develop and maintain research tools and dashboards to support simulation, visualization, and performance tracking of trading strategies. Cross-functional Collaboration: Engage closely with developers, traders, and portfolio managers to align research goals with business objectives and ensure successful strategy implementation. Key Requirements 5+ years of hands-on quantitative research experience with a proven record of live deployment. Hold a Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering from a top-tier institute. Proficient in programming languages like Python, R, or C++. Experience in Indian Markets and MFT. Experience with MFT strategies in Delta 1 and Options, particularly arbitrage or market making.