604 Risk Analytics Jobs - Page 23

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

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.

Job Title: Senior Fraud Risk Modeler (Credit Card) About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Summary: As a Senior Risk Modeler specializing in Fraud Risk, you will design, develop, and maintain models to detect and prevent fraud across various financial products and channels - primarily in the credit card domain. Youll analyze emerging fraud trends, assess fraud risk, and support fraud prevention strategies, while clearly communicating insights to stakeholders and collaborating with cross-functional teams to enhance fraud detection capabilities and reduce fraud losses. Model Development & Validation : Build, implement, and validate fraud detection and prevention models using advanced statistical and machine learning techniques for credit card products. Data Analysis & Interpretation : Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights. ¢ Risk Assessment & Monitoring : Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels. ¢ Communication & Collaboration : Effectively present analytical findings and model performance to both technical and non-technical stakeholders, including fraud operations, compliance, and executive leadership. ¢ Documentation & Reporting : Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements. ¢ Technical Skills : Strong proficiency in Python, SQL, and data science tools; familiarity with real-time decision engines and fraud detection platforms is a plus. (e.g., Actimize, Falcon, SAS). ¢ Domain Expertise : Deep understanding of fraud domain expertise for debit card product. ¢ Leadership & Teamwork : Ability to lead fraud analytics initiatives, mentor junior analysts or data scientists, and collaborate with risk, IT, and fraud operations teams. ¢ Problem Solving : Proactively identify vulnerabilities in fraud strategies, recommend enhancements, and respond to emerging threats in a fast-paced environment. ¢ Adaptability : Stay current with the latest fraud schemes, detection technologies, and regulatory developments impacting fraud risk management. Qualifications: Bachelors or Masters. in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. 6 to 7 years of hands-on experience in a banking environment , specifically in developing, implementing, and maintaining fraud risk models across products and channels. Proven experience in fraud analytics and modelling , including transaction monitoring, real-time detection, and rules-based or machine learning-driven approaches. Strong programming skills in Python, SQL, R, or SAS for model development, data manipulation, and automation. Proficiency with machine learning and statistical techniques such as decision trees, gradient boosting, clustering, anomaly detection, and neural networks. Good understanding of how linear regression and XGBoost work, including their assumptions, strengths, and limitations. Solid understanding of fraud typologies and fraud prevention technologies. Demonstrated ability to work with large and complex datasets , conduct deep-dive analytics, and extract actionable insights. Excellent communication and stakeholder management skills , with the ability to clearly articulate model logic, assumptions, and outcomes to non-technical audiences. Experience performing fraud model validation, performance monitoring, and tuning processes to ensure effectiveness and compliance. Strong problem-solving skills to address emerging fraud risks, data quality challenges, and operational issues.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Job Purpose With approximately 5 million contracts cleared every day across multiple asset classes, ICE Clear Europe (ICEU) is one of the worlds most diverse and leading clearing houses. As a clearing house, ICEU performs a critical role in ensuring market stability specially through periods of volatility and increased uncertainty. It provides central counterparty clearing and risk management services for global energy, interest rate, equity index, and agricultural derivatives. The Clearing Risk Department of ICEU is at the forefront of managing the risk across these global markets and is the business risk (or first line risk) management function. The department is responsible for management of Market Risk, Model Risk, Collateral Risk, Stress Testing, Default Management Risk. To this end the team is responsible for developing and maintaining quantitative models to estimate risks including under extreme stress market conditions. The team is client and clearing member facing covering risks across all time zones. ICE Clear Europes Clearing Risk Department (CRD) is looking for a front office risk analyst. The successful candidate will assist the senior risk managers in overseeing and shaping the risk management practice at one of the largest futures and options clearing houses in the world. You will be joining a very dynamic team, be exposed to a wide range of asset classes and be challenged with complex risk problems. You will be responsible for carrying out all aspects of the day-to-day risk management duties and assist in developing and implementing enhancements to the risk management tools, and processes. You will also participate in the design and implementation of new risk initiatives and products that benefit the business. Responsibilities Analyze and monitor market and collateral risks on real-time basis and appropriately escalate any risk concerns Build and maintain risk management reports to support day to day risk management, and management reporting for various ICE Clear Europe Boards and Committees. Ensure the risk management framework and risk policies are being adhered to and are consistent with regulatory and industry standards Assist with identifying areas where the risk management processes, or infrastructure can be improved Enhance documentation of risk processes and procedures Assist with internal and external communication including, inter alia, representatives from clearing members, ICE management and regulators Collaborate with a group of colleagues on various strategic projects Conduct project work and run thematic or ad-hoc market research on relevant risk topics Knowledge and Experience Degree in Business, Science, Economics, Engineering, or a related numerical discipline Attention to detail and strong problem-solving skills with the ability to balance trade-offs Prior experience in risk management as a risk analyst or relevant professional experience (at an investment bank, hedge fund or clearing house) will be an advantage. Strong knowledge in financial derivatives products in multiple asset classes preferred Prior experience in applying risk management models and techniques such as Value at Risk models, Liquidity Risk models, backtesting and stress testing models will be an advantage. Ability to be a team player and to collaborate with other teams Ability to conduct research, analyze problems, formulate and implement solutions in an efficient, effective, and independent manner Excellent written and verbal communication skills Experience with SQL and Python preferred Experience with BI tools such as Tableau is desirable Any progress towards CFA or FRM would be advantageous

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Description At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Risk Consulting MENA FS Risk Market Risk - Senior Manager Divisional Overview EY GDS Risk Consulting is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. EYs MENA Financial Services Risk Management (FSRM) team, part of the EY GDS Risk Consulting Practice, delivers tailored risk solutions to help clients identify, assess, manage, and monitor a range of financial and regulatory risks. These include market (trading book), credit (banking book), operational, and regulatory risks arising from trading, asset-liability management, capital management, and broader capital markets activities. The division is ideal for collaborative individuals who have strong ethics and attention to detail. Within FSRM, the Market Risk (MR) team focuses on supporting clients—ranging from large domestic banks to global financial institutions—in developing, validating or reviewing Capital Markets and Market risk models (e.g., Derivatives Pricing, VaR/ES, Counterparty Credit Risk, FRTB, xVAs, Hedge effectiveness testing) based on industry best practises. You will work within different sized, multi-disciplinary teams and play a key role in ensuring high quality outputs and service to our clients. The role involves developing knowledge and implementing new solutions to meet the ever-changing needs of our clients. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries. Key Responsibilities Lead a high performing team of 10-15 members, including Managers, Senior Consultants, and Analysts, in the strategic planning, execution, and delivery of complex Financial Services and Risk Management engagements, ensuring alignment with organizational goals and client needs. Provide expert guidance on capital market instruments, emphasizing the pricing and risk dynamics of fixed income, equity, foreign currency, interest rate, commodity, credit, and derivative transactions. Cultivate and manage senior-level client relationships, acting as a trusted advisor to understand strategic priorities and deliver tailored risk management solutions. Contribute to the firm’s thought leadership by publishing insights, participating in industry forums, and staying ahead of emerging trends in financial risk and capital markets Comprehend EY's service offerings and actively evaluate how the firm can deliver tailored solutions to meet client requirements. Demonstrate exceptional project management skills while fostering a collaborative environment that promotes accountability and high performance among team members throughout engagements. Monitor project progress diligently, manage risks proactively, and communicate status updates, issues, and priorities effectively to key stakeholders to ensure successful project outcomes. Adapt to diverse projects involving model audits, validation, and development, demonstrating flexibility and a deep understanding of domain knowledge. Lead internal initiatives to enhance methodologies, tools, and frameworks within the Financial Services Risk practice, fostering innovation and continuous improvement. Qualifications, Certifications, and Education Must-have: Bachelor’s degree in quantitative finance, Financial Engineering, Mathematics, Physics, Statistics, Engineering or other numerical subjects from a reputable institution. At least 10 years of experience within a consulting firm, a bank or other financial institution’s risk management, valuation control, quantitative analytics related business functions, preferable with pricing and modeling experience on financial derivatives, structured notes and complex financial instruments. Solid understanding of Risk analytics methodologies, including hedge effectiveness testing. Advanced technical skills, with proficiency in VBA, Python or MATLAB Experiences with vendor software (e.g. Bloomberg, Numerix, Refinitiv) Excellent analytical and problem-solving expertise Exceptional documentation skills with the ability to quickly grasp complex concepts and present them clearly in documents or presentations. Exceptional project management abilities and foster a collaborative environment and accountability among team members on engagements, while guaranteeing the high standard of the work produced. Preferred: Professional certifications such as FRM, CFA, PRM, or CQF. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptive, Murex, Numerix, Bloomberg, Risk Metrics, Spectrum, EQF, etc Experience in quantitative and qualitative analysis of risk exposures (risk measures, scenario analysis, stress testing) Team management skills, including coaching and mentoring junior team members and new hires. Willingness to travel for client engagements

About The Role About The Role Job Title:Procurement Risk Senior Manager Management Level: 6- Senior Manager Must have skills: Experience of procurement risk or compliance, or related functions within a global organization Strong understanding of third-party risk (data privacy, information security, and/or other key regulatory risk frameworks), and/or procurement operations. Demonstrated ability to lead cross-functional programmes and influence senior stakeholders. Experience with risk analytics, policy governance, and audit processes. Excellent communication, leadership, and stakeholder management skills. Proficient in Microsoft tools (PPT, Excel, Word). You May Also Need: V&A procurement risks experience Ariba, Fieldglass and ProcessUnity. Job Summary : As a Senior Manager in the Global Procurement Risk and Compliance strategic team, you will lead the design, implementation, and governance of regional and global risk management processes across Procurement Plus (P+). You will work cross-functionally to ensure that procurement activities align with Accentures risk appetite, regulatory obligations, and ethical standards. This role requires strategic foresight, project management expertise, and the ability to influence senior stakeholders across the enterprise. In your role you will be expected to: Drive global risk management projects Drive global strategic procurement risk management projects supporting enterprise risk priorities and regulatory requirements, such as category risk management, policy redesign, supplier due diligence, V&A procurement risks, fraud management, audit readiness. Collaborate with Global Process Owners and Risk Domain Owners to integrate new controls into the global and regional procurement processes, and to respond to emerging threats. Run checks to ensure requirements are met and controls are correctly embedded in procurement tools and processes. Support implementation of risk management tools and AI technology for the procurement function. Serve as the regional strategic risk lead for the APAC region Monitor and assess regional risk trends, emerging threats, and compliance gaps, and translate them into actionable mitigation strategies. Build relationships with, and collaborate with, regional procurement leads and local legal and information security teams, to tailor global policies to local contexts without compromising enterprise integrity. Act as the primary point of contact for regional procurement risk escalations, audit findings, and fraud cases involving suppliers or procurement spend. Oversee the implementation of Procurement Plus policies and of various initiatives supporting compliance to other Accenture risk management Policies. Lead regional training and awareness campaigns to embed a culture of risk ownership and risk management. Drive and manage stakeholder engagement Act as a trusted advisor to Senior Procurement Leadership, Regional and MU Procurement Leads, Procurement Category Leads, Legal, Information Security, and Business stakeholders. Represent Procurement Risk in cross-functional forums and crisis response teams to address urgent escalations and regulatory changes. Work with the P+ Ops Risk and Compliance management team based in Bangalore. Team Leadership Provide guidance and oversight to project managers and other resources supporting risk initiatives Additional Information: This role requires the ability to work with resources based in Europe and in the USA on a regular basis. This may lead to late evening calls. What We Are Looking For: Experienced procurement risk management leader, who can act as a trusted advisor to Senior Procurement Leadership, and who can drive innovative global and local risk management projects for the procurement function About Our Company | Accenture Qualification Experience Proven experience- Procurement risk management, operations. Demonstrated ability to lead cross-functional programmes and influence senior stakeholders. Experience with risk analytics, policy governance, and audit processes stakeholder management skills. Proficient in Microsoft tools (PPT, Excel, Word). Educational Qualification: Master degree

Analytics professional in payment integrity - stats and modeling data analytics team. Person will be responsible for delivering various fraud analytics statistical projects based on US healthcare data and other consulting assignment. These projects may involve model development, validation, governance, implementation and end to end delivery Lead and work closely with junior/senior statisticians to deliver Fraud, Waste, Abuse (FWA) statistical projects. Team builds models through advanced statistical techniques. Provide support to management in business development, client proposals and in building solid relationships with global analytics teams. Expert in data analytics with significant amount of project delivery skills in one or more of the following areas: Model Building, Model Validation, Fraud detection Analytics, Risk Analytics, Multivariate Analysis Primary Responsibilities: Collaborates across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy Demonstrable leadership ability, superior problem solving and people management skills. Evaluate statistical methods used to obtain the data to ensure validity, applicability, efficiency and accuracy. Interpret end-user technical requirements by specifying economic decision models, determining appropriate data sources, and performing detailed statistical analysis Create, analyze and maintain explanatory/predictive models of clinical behaviours on healthcare claims data. Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation Research on the new fraud & abuse patterns and ideate new assignments/projects basis the secondary/data driven research Lead the advanced statistics domain for the team & develop/refine/improve predictive models using advance SAS, Python, Spark & machine learning techniques and mentors junior/senior analysts/statisticians to develop their modeling/statistical skills Maintains staff by recruiting, selecting, orienting, and training employees; maintaining a safe, secure, and legal work environment; developing personal growth opportunities and accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards Co-ordinate with clinical/Coding SMEs for seeking the inputs to explore data extraction approach and road map the analysis milestones Develop and maintain working relationships with key customer stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Masters degree in math or statistics from top universities (Tier I/II) with solid record of achievement and approximately 1+ years of relevant work experience 2+ years of work experience in the area(s) of statistical analysis, data modelling 1+ years of project management experience Experience in data analytics, predictive & statistical modeling, strategy, project management, team management and business development Experience comprising analytics service delivery, solution design and client management Expert focused on helping team improve modeling predictability, analytics driven strategy development, operational efficiency Knowledge of statistical tools and techniques, especially those relating to data mining & analysis. Should have ability to handle/work on large data sets Displays solid communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills Demonstrated leadership ability and willingness to take initiative Excellent knowledge of SAS, Python/Spark, or any other statistical software to carry out analysis and drive conclusions Solid understanding and implementation experience on predictive modeling algorithms such as time series, neural networks, clustering, decision trees, heuristic models, with familiarity dealing with trade-off between model performance and business needs Solid project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple/concurrent projects Must be able to communicate ideas effectively and concisely to all levels of Management, business partners, and to other external clients Ability to work independently and with a team Preferred Qualifications: Experience/interest in Python, Tableau & Machine learning Experience/interest in building machine learning systems using big data Experience/interest in data visualization and presentation Knowledge of US/UK/Indian/Middle-East Healthcare system, Specially Fraud management Certifications - Technical SAS, Python, Spark; Healthcare domain - AHM

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.

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. Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand the different business including Investment Banking, Private Bank, Corporate Bank and Asset Management. 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 utilized in validation activities. Your skills and experience 6-10 years of professional experience in model development/ validation or related areas. 2-3 years of experience in PPNR model development / validation. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate must possess substantial knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python. 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. Good presentation & communication skills. Ability to deal with stakeholders and handle difficult conversations. 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. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, developing framework, designing presentations will be a plus for the role.

About The Role Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position ManagementMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will engage in a variety of tasks that involve analyzing organizational processes and systems. A typical day may include assessing the current state of business operations, identifying customer requirements, and defining future business solutions. You will conduct research, gather data, and synthesize information to support decision-making and improve integration with technology. Your role will be pivotal in ensuring that business models align effectively with technological advancements, ultimately driving efficiency and innovation within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop comprehensive documentation to support project initiatives and ensure clarity among team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Middle Office, Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management.- Strong analytical skills to assess business processes and identify areas for improvement.- Ability to communicate effectively with stakeholders at all levels of the organization.- Experience in project management methodologies to ensure timely delivery of solutions. Additional Information:- The candidate should have minimum 12 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position ManagementMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will engage in a variety of tasks that involve analyzing organizational processes and systems. A typical day may include assessing the current business model, identifying customer requirements, and defining future states or business solutions. You will conduct research, gather data, and synthesize information to support decision-making and improve operational efficiency. Your role will require collaboration with various teams to ensure that technology aligns with business objectives, ultimately driving the organization towards its goals. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and validate solutions.- Develop comprehensive documentation to support project initiatives and ensure clarity among stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management.- Strong analytical skills to assess business processes and identify areas for improvement.- Ability to communicate complex information clearly to diverse audiences.- Experience in project management methodologies to ensure timely delivery of solutions. Additional Information:- The candidate should have minimum 15 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position ManagementMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will engage in a variety of tasks that involve analyzing organizational processes and systems. A typical day may include assessing the current state of business operations, identifying customer requirements, and defining future business solutions. You will conduct research, gather data, and synthesize information to support decision-making and improve integration with technology. Your role will be pivotal in ensuring that business models align effectively with technological advancements, ultimately driving efficiency and innovation within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop comprehensive documentation to support project initiatives and ensure clarity among team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Middle Office, Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management.- Strong analytical skills to assess business processes and identify areas for improvement.- Ability to communicate effectively with stakeholders at all levels of the organization.- Experience in project management methodologies to ensure timely delivery of solutions. Additional Information:- The candidate should have minimum 12 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Role Summary/Purpose: The AVP,/VP Remediation Reporting Insight Analyst drives maturity in our remediation performance capabilities. This role will be responsible for ongoing remediation reporting, and for analysis leveraging remediation and issue management data to identify critical insights, patterns, and trends relevant to process performance, health drivers, KPI, KRI reporting, Compliance and other governance reporting requirements. Essential Responsibilities: Prepare and analyze ongoing remediation reporting, identifying trends and/or anomalies warranting additional research. Oversee ongoing reporting and deep dive analysis into KPIs and KRIs. Establish mechanisms and technical queries to combine available data, and conduct detailed analysis to identify opportunities for process enhancements, early warning triggers, and health drivers Engage with Issue Management teams to support opportunities for improvements and consistent reporting/monitoring across the teams. Oversee and ensure compliance with model and non-model governance requirements for the full lifecycle of applicable tools. Develop presentations synthesizing analysis for reporting to both internal and regulatory audiences. Lead projects for reporting development and data integration. Provide process focused analytics support to remediation and related process stakeholders. Analyze all aspects of the remediation experience by developing indices using additional variables, including but not limited to, remediation volume, key drivers, and similar. Required Skills/Knowledge: Bachelor's degree and a minimum of 8+ years of hands-on reporting and analytics experience OR in lieu of a Bachelor's Degree, a High School Diploma / GED and a minimum of 10+ years of hands-on reporting and analytics experience Minimum 2 years experience utilizing statistical techniques, e.g., modeling, A/B testing, and segmentation. 3+ years of experience with proven ability to extract unstructured and structured data with strong programming ability in SAS, SQL, R, Python or other programming language. Desired Characteristics: Bachelor's degree, preferably in a quantitative discipline, such as statistics, mathematics, or engineering. Strong project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success. Solid understanding of card industry financial P&L drivers and key sensitivities, with business performance reporting experience. Demonstrated ability to manage complexity and multiple initiatives. Ability to perform ad-hoc analysis, glean and form business insights under aggressive timelines. Results-oriented; ready to challenge the status quo for continuous improvement. Eligibility Criteria: Bachelor's degree and a minimum of 8+ years of hands-on reporting and analytics experience OR in lieu of a Bachelor's Degree, a High School Diploma / GED and a minimum of 10+ years of hands-on reporting and analytics experience

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR).

As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines. On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. 3+ years experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress Non- life/P&C or general insurance/Actuarial Reserving/Rate monitoring/pricing/capital modelling

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR). Some experience in quantitative models and methods. Strong technical expertise in Excel and Bloomberg. BS or MS in Finance / Financial Engineering Strong communication skills, both verbally and written. Proven ability to multi task in support of multiple processes. Position and responsibilities Analyze risk position data validation, calculation & reporting of market risk exposures and metrics. Communicate with clients in support of daily market risk analytics and reporting. Support sales by responding to client questions during the trial period, implementation and on-going. Mandatory Skills: Market risk , quantitative , python , Dv01 , Var ** work from home option is available

About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant. You will be a part of Information Delivery & Analytics Services Team within Market and Counterparty Risk Management (MCRM) which is responsible developing and automation of existing applications and processes. You will interact closely with multiple business partners including the Market Risk Officers, Counterparty Credit Risk, and Technology teams. In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Overall, 4+ years of experience with developing Python based automation solutions. Experience in using different data manipulation python libraries like pandas & NumPy. Understanding of Python OOPS concepts, multithreading, Tableau Server Client(TSC) API Experience with at least one development framework Django, flask etc. Strong technical skills and problem-solving skills Excellent verbal, written, and interpersonal communication skills Experience in performing root cause analysis Flexibility with changing priorities Knowledge of Capital markets and understanding of Market & Counterparty Risk Job Expectations: Design comprehensive python solutions working closely with development team and stakeholders Identify areas of optimization in existing processes and implementation Take initiatives to find alternatives, resolve issues, apply modifications, and generate innovative solutions Self-driven being able to work independently and take the project to completion with minimum supervision.

In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: Design & develop BI reports and dashboards using Power BI, SQL and other tools to fulfill the analytical needs of risk officers Collaboration with stakeholders supporting all phases of project life cycle Perform data extraction and transformation with SQL queries to generate required datasets for dashboards Maintain and support existing dashboards/reports, resolving identified issues Provide support & governance to Risk application including analytics. Identify opportunities and deliver process improvements, standardization and automation Support PowerBI architecture and design data flows 3+ years of experience in Data visualization and designing dashboards using Power BI 3+ years SQL experience with knowledge of data wrangling leveraging multiple data sources Strong technical skills and problem-solving skills Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Knowledge and understanding of issues or change management processes Experience in performing root cause analysis Flexibility with changing priorities. Knowledge of Market and Counterparty risk within banking domain

Project Role : Test Automation Lead Project Role Description : Lead the transformation of testing into a continuous and efficient end-to-end quality engineering function through the use of quality processes, tools, and methodologies significantly improving control, accuracy and integrity. Evolve more predictive and intelligent testing approaches based on automation and innovative testing products and solutions. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Middle Office, Charles River Data and Position Management, Charles River Portfolio Management & Risk AnalyticsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Test Automation Lead, you will lead the transformation of testing into a continuous and efficient end-to-end quality engineering function through the use of quality processes, tools, and methodologies significantly improving control, accuracy, and integrity. You will evolve more predictive and intelligent testing approaches based on automation and innovative testing products and solutions. Your typical day will involve overseeing the testing process, collaborating with the team, and implementing automation strategies to enhance the quality of our products and solutions. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in /User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading, Charles River Middle Office, Charles River Data and Position Management, Charles River Portfolio Management & Risk Analytics.- Good To Have Skills: Experience with Charles River Middle Office, Charles River Data and Position Management, Charles River Portfolio Management & Risk Analytics.- Strong understanding of test automation frameworks and tools.- Experience in designing and implementing automated test scripts.- Knowledge of software testing methodologies and best practices.- Familiarity with Agile development methodologies.- Excellent problem-solving and troubleshooting skills.- Strong communication and collaboration abilities. Additional Information:- The candidate should have a minimum of 5 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle OfficeMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer (Tester), you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suite. You will create automation strategy, automated scripts, and support data and environment configuration. Additionally, you will participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in /User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle Office.- Strong understanding of test automation frameworks and methodologies.- Experience in designing and implementing test automation scripts.- Knowledge of software testing principles and methodologies.- Familiarity with defect tracking and test management tools. Additional Information:- The candidate should have a minimum of 5 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle OfficeMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer (Tester), you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suite. You will create automation strategy, automated scripts, and support data and environment configuration. Additionally, you will participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in /User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira.- Good to Have:Charles River Certification. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle Office.- Strong understanding of software testing methodologies and techniques.- Experience with test automation tools such as Selenium or Cucumber.- Knowledge of SQL and database testing.- Familiarity with Agile development methodologies.- Excellent problem-solving and analytical skills.- Ability to work collaboratively in a team environment. Additional Information:- The candidate should have a minimum of 3 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle OfficeMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer (Tester), you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suite. You will create automation strategy, automated scripts, and support data and environment configuration. Additionally, you will participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in /User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira.- Good to Have:Charles River Certification. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle Office.- Strong understanding of software testing methodologies and techniques.- Experience with test automation tools such as Selenium or Cucumber.- Knowledge of SQL and database testing.- Familiarity with Agile development methodologies.- Excellent problem-solving and analytical skills.- Ability to work collaboratively in a team environment. Additional Information:- The candidate should have a minimum of 3 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle OfficeMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer (Tester), you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suite. You will create automation strategy, automated scripts, and support data and environment configuration. Additionally, you will participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in /User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira.- Good to Have:Charles River Certification. Professional & Technical Skills: - Must To Have Skills: Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills: Experience with Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle Office.- Strong understanding of software testing methodologies and techniques.- Experience with test automation tools such as Selenium or Cucumber.- Knowledge of SQL and database testing.- Familiarity with Agile development methodologies.- Excellent problem-solving and analytical skills.- Ability to work collaboratively in a team environment. Additional Information:- The candidate should have a minimum of 3 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education