604 Risk Analytics Jobs - Page 9

The role of QR Risk Lead at our organization involves evangelizing and demonstrating the value and impact of risk analytics for informed business decision making. You will be responsible for developing and deploying analytical solutions, providing data-driven insights to business stakeholders, and addressing various business challenges effectively. An ideal candidate for this role should have 13 to 18 years of experience in the risk field with strong expertise in risk management, specifically in fraud prevention, detection, and mitigation. Additionally, you will be overseeing the lifecycle management of customer onboarding, monitoring, portfolio management, and compliance. We are looking for a creative and dedicated individual who can thrive in our collaborative culture and work effectively with diverse teams and functions on a daily basis. The ability to coordinate with other departments to ensure project compatibility, develop comprehensive project plans, and program manage initiatives for technology improvements is crucial for this role. As the QR Risk Lead, you will be expected to track program/project performance, analyze the successful completion of short and long-term goals, and encourage the use of common services to enhance development speed and execution efficiency. Strong leadership, smart thinking, clear communication, and exceptional stakeholder management skills are essential. Experience in policy formulations, portfolio management, risk analytics, data-backed decision-making, loss models, regulatory environment, and team management is highly desirable. The successful candidate will be entrusted with the end-to-end management of the consumer risk function, owning the P&L, and fostering an appropriate risk culture within the team. If you are the right fit for this role, we believe in creating wealth for you. With over 500 million registered users, 21 million merchants, and a wealth of data in our ecosystem, we are uniquely positioned to democratize credit for deserving consumers and merchants. This presents an exciting opportunity to be a part of India's largest digital lending story. Join us and contribute to this evolving narrative!,

Job Role: - Candidate should know end to end working and functioning of payment products viz. IMPS, UPI, RTGS, NEFT and cards and have demonstrated building analytics driven solutions to prevent frauds - Knowledge of Fraud management platforms is preferred - Responsible to Review Fraud trends across Digital and Cards payments and Implement Rules to detect and prevent frauds - Working knowledge of rule writing in FRMs like Falcon and Clari5 is required - Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models - Coding knowledge on Hadoop environment is added advantage - Should be able to work in minimum supervision Skills required: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must. Education : M Tech/B Tech/Statistics degree is mandatory Location: Mumbai Presentation: Good written and verbal communication skills Prior experience in Analytics with BFSI for 2-3 years is a must Hands -on experience on following methods and techniques is required as role involves working with both structure and unstructured data Network Analysis(Graph theory) Link Analysis ( Market Basket/Sequence Analysis) Text mining & NLP Regressions ( eg. Logistic ) Classification methods (Decision Tree, Neural Networks, KNN, SVM) Anomaly detection methods

What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Ubers Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications ---- 2+ years of work experience with a Bachelors Degree OR 1+ years of work experience with a Masters Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Review and analyze carrier documentation to ensure accurate processing of Personal Lines insurance policies. Manage various Personal Lines subprocesses, including commission updates, revenue tracking, creation of renewal summaries, processing transactions across different lines of business, handling claims, alerts, mailbox and fax items, preparing billing prerequisites, and working closely with U.S. producers for onboarding new clients. Consistently meet key performance indicators (KPIs) by adhering to service level agreements (SLAs), quality standards, and turnaround time (TAT) requirements set by the business unit. Effectively manage assigned workloads and meet delivery expectations based on business priorities. Provide support for additional subprocesses as and when required. Ensure full compliance with company policies and regulatory guidelines to protect clients, colleagues, and business interests during transaction processing. Contribute to ongoing process improvement by identifying opportunities and recommending enhancements. Respond to emails promptly, following defined guidelines and timelines. Build and maintain strong, professional relationships with both internal and external stakeholders. Top 5 Competencies Client-Centric Approach Problem Solving Attention to Detail Initiative and Ownership Time Management Knowledge: Good understanding of Insurance Principles. Good understanding and knowledge of MS office (Especially MS Excel). Skills: Strong verbal and written communication skills Logical and analytical thinking abilities Quick learner with the ability to adapt to new processes and systems Effective at prioritizing and organizing tasks within tight deadlines Capable of working both independently and collaboratively in a team Able to perform well under pressure and manage time-sensitive tasks Qualifications Qualifications: Graduate/Postgraduate Shift Timings:-6:30 PM 3:30 AM Location:-Vikhroli

As a Quant Modelling Vice President in QR Markets Capital (QRMC) teams team, you will play a pivotal role by implementing the next generation of risk analytics platform. The QR Markets Capital (QRMC) teams mission is to build the models and infrastructure used for the risk management of Market Risk such as of Value at Risk(VAR)/Stress/Fundamental Review of the Trading Book(FRTB). The QRMC team in India will therefore play a critical role and support the activities of QRMC group globally. We also work closely with Front Office and Market Risk functions to develop tools and utilities for model development and risk management purposes. Job responsibilities Work on the implementation of the next generation of risk analytics platform; Assess model performance, perform back testing analysis and P&L attribution; Improve performance and scalability of analytics algorithms; Develop and enhance mathematical models for VaR/Stress/FRTB; Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk; Design efficient numerical algorithms and implementing high performance computing solutions; Design and develop software frameworks for analytics and their delivery to systems and applications. Required qualifications, capabilities, and skills Advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.; 3+ years of relevant experience in Python and/or C++ along with proficiency in data structures, standard algorithms and object oriented design; You have basic understanding of product knowledge across a range of asset classes - Credit, Rates, Equities, Commodities, FX & SPG; You re interested in applying agile development practices; You demonstrate quantitative and problem-solving skills as well as research skills; You understand basic mathematics such as statistics, probability theory; You demonstrate good interpersonal and communication skills, ability to work in a group; You re attentive to detail and easily adaptable; Preferred qualifications, capabilities, and skills Experience applying statistical and/or machine learning techniques in the financial industry; Knowledge of options pricing theory, trading algorithms or financial regulations; Experience using multi-threading, GPU, MPI, grid, or other HPC technologies is a plus; Excellent knowledge on data analysis tools in python like Pandas, Numpy, Scipy etc; Knowledge of advanced mathematics such as stochastic calculus; Knowledge of front-end technologies like HTML, React and integration with large data sets. Role: Head - Data Science Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Any Specialization PG: MS/M.Sc(Science) in Any Specialization

Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals. Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant. Use data science techniques to derive insights and communicate findings. Contribute to generating new ideas to address both ad hoc and strategic projects. Present findings and recommendations to senior management through presentations Required Qualifications, Skills and Capabilities Relevant analytics, model/methodology development or credit risk experience Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data. Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required. Desire to use modern technologies as a disruptive influence within Banking Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaAs a member of the Wholesale Portfolio Analytics team, you will be actively engaged in the implementation of extensive industry research and analytics initiatives tailored specifically for the Wholesale Credit Risk organization. Your role will involve conducting in-depth analyses of various industries to provide valuable insights and data-driven recommendations that will enhance our understanding of credit risk within the wholesale sector. By leveraging your expertise, you will contribute to the development of robust analytical frameworks and methodologies that will support informed decision-making and strategic planning within the organization. Job Responsibilities Perform industry research using a combination of external and internal data sources. This research is designed to provide a credit perspective on various industries, supporting the organization in making informed credit risk evaluations and strategic decisions. Manage initiatives focused on identifying and analyzing emerging risk trends. This involves synthesizing data and insights to understand the impact of these trends on industry dynamics and credit risk. Create and refine models that project financial outcomes based on macroeconomic indicators. These models assist in forecasting industry performance and assessing potential credit risks, allowing for more accurate credit evaluations. Compile research findings into clear, detailed reports and presentations. Communicate analytical insights to senior management and other stakeholders, ensuring that the implications for credit risk are understood and actionable. Work with various teams to integrate industry research findings into broader credit risk management processes. This includes collaborating with stakeholders to develop tools and frameworks to manage credit risk. Track and evaluate industry developments and macroeconomic trends, updating models and research outputs as necessary to maintain the relevance and accuracy of credit risk assessments. Required qualifications, capabilities, and skills You have a Bachelor s or Master s degree in Mathematics, Statistics, Finance, Economics, or related fields. You have a proactive approach to identifying opportunities for improvement and innovation in research processes and methodologies. You have 3+ years of relevant work experience in Financial Risk Analytics, Industry Research, or Wholesale Credit Risk Management. You have strong problem-solving abilities with a focus on conducting thorough industry research and analysis. You have attention to detail and the ability to synthesize complex information into clear insights. You have excellent communication skills, both written and verbal, with the ability to present research findings effectively. Preferred qualifications, capabilities, and skills Proficiency in crafting we'll-structured research reports, thought pieces, and trend analyses. This includes the ability to convey complex ideas clearly and concisely, tailoring content to different audiences. Understanding of relevant regulatory and compliance frameworks that impact industry dynamics and credit risk Technical Skills (Optional) - Experience with analytics and data tools such as Python, R, SQL, and other relevant technologies. A desire to leverage modern technologies as a disruptive influence within banking. Use Python and SQL skills to manage and manipulate large datasets. Additionally, apply Large Language Model (LLM) skills to synthesize information from multiple sources. Role: Business Intelligence & Analytics - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: LLM in Law, Any Postgraduate

JD for Lead - Data Analytics. Experience - Minimum 8+ years in Model Development / Data Science Roles with Post Graduation Company - Aditya Birla capital Ltd Location - Goregaon. Job Summary: We are seeking an experienced and visionary Lead of Data and Analytics to lead our data-driven initiatives and drive strategic decision-making within our organization. As a key member of the leadership team, you will oversee the development, implementation, and management of our data and analytics strategy. You will play a pivotal role in transforming our data into actionable insights that enhance our business performance, improve customer experience, and drive innovation in our financial products and services. Key Responsibilities: 1. Strategic Leadership: - Develop and execute a comprehensive data and analytics strategy aligned with the organizations business goals. - Drive a data-driven culture across the organization by promoting the use of data and analytics in decision-making processes. 2. Data Management: - Oversee the collection, storage, and management of data from various sources, ensuring data quality and integrity. - Implement data governance frameworks and best practices to ensure compliance with regulations and industry standards. 3. Analytics and Insights: - Lead the analytics team in performing advanced analytics, including predictive modelling, risk modelling & assessment, and customer segmentation Analytics. - Transform complex data into easy-to-understand insights and actionable recommendations for stakeholders. 4. Collaboration: - Work closely with cross-functional teams, including marketing, risk management, finance, and operations, to address business challenges using data insights. - Collaborate with IT teams to ensure the proper infrastructure and tools are in place for effective data collection and analysis. 5. Team Leadership: - Build and lead a high-performing data and analytics team, fostering a culture of continuous learning and development. - Mentor and guide team members in utilizing advanced analytics techniques and tools. 6. Stakeholder Engagement: - Present findings and recommendations to senior management and stakeholders, translating technical information into clear business language. - Engage with external partners and industry experts to stay updated on emerging trends and technologies in data and analytics. 7. Performance Metrics: - Define key performance indicators (KPIs) to measure the effectiveness of data initiatives and analytics programs. - Monitor and report on the progress and outcomes of analytics projects.

You will be responsible for leading and managing the technical aspects of the Credit Department's operations in the role of State Technical Head. Your main focus will be to ensure efficiency and effectiveness within the department. This includes overseeing the development and maintenance of credit-related software, systems, and technological infrastructure. Collaboration with cross-functional teams is essential to understand business requirements and translate them into technical solutions. You will play a key role in implementing and enhancing credit scoring models, algorithms, and decision-making tools. Introducing new technologies to streamline credit processes and enhance data analytics capabilities is also part of your responsibilities. Leading and managing a team of technical professionals will require you to provide guidance and support for their professional development. Collaborating with IT and security teams is crucial to ensure the security and compliance of credit-related systems. Your role will also involve evaluating and recommending emerging technologies to enhance the Credit Department's capabilities. Troubleshooting and resolving technical issues related to credit systems and applications will be part of your day-to-day tasks. Additionally, you will provide technical expertise and support for credit-related projects and initiatives. To be successful in this role, you should have a Bachelor's or Master's degree in engineering or a related field. A minimum of 5+ years of proven experience in a technical leadership role within the credit or financial services industry is required. In-depth knowledge of credit scoring models, risk analytics, and credit decisioning processes is essential. Proficiency in programming languages and database management is a must. Strong understanding of data management, data integration, and data governance is also necessary. Leadership and team management skills are crucial, with the ability to inspire and guide technical professionals. Excellent communication skills are needed to convey technical concepts to non-technical stakeholders. Familiarity with cloud computing platforms and technologies is an advantage. Being detail-oriented with a focus on system security and compliance is important. Adaptability to evolving technologies and industry best practices is also key for this role. If you are interested in this position and meet the requirements, please share your CV at aamer.khan@herohfl.com. This position is based in Mumbai, and only candidates from the Mumbai region with good knowledge about Mumbai region properties should apply.,

As a Procurement Risk Senior Manager at Accenture, you will play a pivotal role in leading the design, implementation, and governance of regional and global risk management processes across Procurement Plus (P+). Your responsibilities will revolve around ensuring that procurement activities align with the company's risk appetite, regulatory obligations, and ethical standards. This strategic position demands a combination of strategic foresight, project management expertise, and the ability to influence senior stakeholders throughout the organization. Your key responsibilities will include driving global risk management projects that support enterprise risk priorities and regulatory requirements. This entails managing category risk, policy redesign, supplier due diligence, V&A procurement risks, fraud management, and audit readiness. Collaboration with Global Process Owners and Risk Domain Owners will be essential to integrate new controls into procurement processes and respond to emerging threats efficiently. Additionally, you will oversee the implementation of risk management tools and AI technology within the procurement function. Within the APAC region, you will serve as the regional strategic risk lead, monitoring and assessing regional risk trends and compliance gaps to develop actionable mitigation strategies. Building strong relationships with regional procurement leads, local legal teams, and information security teams will be crucial to tailor global policies to local contexts effectively without compromising enterprise integrity. You will act as the primary point of contact for regional procurement risk escalations, audit findings, and fraud cases involving suppliers or procurement spend. Moreover, you will play a key role in driving stakeholder engagement by acting as a trusted advisor to various leadership teams, representing Procurement Risk in cross-functional forums, and participating in crisis response teams to address urgent escalations and regulatory changes. As a leader, you will provide guidance and oversight to project managers and other resources supporting risk initiatives. This role requires collaboration with resources based in Europe and the USA, which may involve late evening calls. To excel in this position, you should be an experienced procurement risk management leader with a proven track record of influencing senior stakeholders and driving innovative global and local risk management projects within the procurement function. Your educational qualifications should include a Master's degree, and proficiency in Microsoft tools (PPT, Excel, Word) is essential for this role. Additionally, experience in procurement risk management, operations, risk analytics, policy governance, and audit processes will be beneficial. Your ability to lead cross-functional programs and demonstrate excellent stakeholder management skills will be crucial in fulfilling the responsibilities of this role at Accenture.,

About this role About BlackRock BlackRock Inc. is a preeminent global firm, providing investment management, risk management and advisory services to institutional and individual investors around the world. Aladdin is the investment management platform that provides asset managers, asset owners and asset servicers sophisticated risk analytics with comprehensive portfolio management, trading and operations tools on a single platform to power informed decision-making, effective risk management, efficient trading and operational scale across both public and private markets. Aladdin is currently a $1bn technology business with a rapidly expanding private markets technology offering that transforms, scales and elevates how private markets investments are managed alongside public markets investments to provide a unified whole portfolio experience. Being a member of the Aladdin Product Management team means working with the best in the industry to build innovative products that shape financial markets. As a Product Manager, you will collaborate with developers, researchers, and other team members to innovate and deliver new capabilities for the investment lifecycle, have a positive impact on developing the product vision, and lead day-to-day execution of the roadmap. About the Team: Sitting at the intersection of business and technology, the Aladdin Product Management team works closely with developers, researchers, and other stakeholders to innovate, conceptualize, design and pilot new capabilities across the investment lifecycle. This role sits within the Private Markets Team that delivers an end-to-end platform for LPs, GPs and Asset Servicers to manage private market portfolios as well as combining private markets data and analytics with public investments to support Aladdin s Whole Portfolio Solution. As a trusted product expert, the Product Manager will take ownership of the roadmap and deliver features related to a strategic effort to integrate fund book of record data in Aladdin as well as developing services to support full lookthrough of private investments from the fund level down to the underlying asset level of detail. We are looking for a highly motivated product manager to bring their proficiency in PDLC best-practices and intellectual curiosity about the investment lifecycle This individual is: Passionate about building technical solutions in partnership with engineering teams A self-starter who enjoys solving complex problems that deepen our understanding of end users Curious to learn new skills and willing to embrace work outside of your comfort zone Comfortable challenging the status quo and using your entrepreneurial spirit to create new solutions A team player who is motivated by the fast pace of the work environment Strong candidates will be able to adapt quickly to change and be excited to be part of a transformative time in BlackRock s private market investment and product strategy. Key Responsibilities: Develop a deep understanding of the private markets personas, business problems, and opportunities within the industry, especially around pre-investment research and asset allocation or post-investment monitoring and reporting needs. Become the go-to person for the product, growing expertise in the product s full capabilities and understanding how clients are using it today. Gather, evaluate & define detailed product requirements, use cases, user stories, and user journey maps necessary to deliver a feature to market. Track feature progress throughout the quarter and be able to report up to senior members of the team. Manage stakeholders and the product backlog for client feedback, roadmap, epic and feature prioritization, and new requests against client commitments. Articulate, communicate, and demo upcoming release details and new features to the broader product, client, marketing, and sales teams. Participate in PDLC practices, such as quarterly planning, backlog grooming, sprint planning, and delivery demos. Coordinate the agenda and product artifacts for product governance forums and joint working groups. Summarizing decisions, next steps, and feedback on product readiness for clients. Our benefits . Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www. linkedin. com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Secunderabad Bank is looking for Risk Analytics Specialist to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Join us as a Risk Quants Associate This is a great opportunity for someone with experience in a quantitative role to join our Risk function You ll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations This role will provide you with a platform to keep building your knowledge and expertise, and offers you great exposure for you and your work Were offering this role at associate level What youll do As a Risk Quants Associate, you ll be supporting a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring. This key role will also see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics. Day-to-day, you ll also be: Providing a phased delivery of the simulation models and pricer prototypes Producing model documentation to be delivered to the PRA for internal review Advising senior management on and actively managing a project s non-delivery risk Making sure that adequate documentation is produced for governance Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes The skills youll need We re looking for someone with significant experience in a quantitative role of specified asset classes, including credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency. You ll also demonstrate: Exceptional Problem-Solving Skills. Ability to approach complex challenges with analytical rigor and creativity. Strong Quantitative and Statistical Expertise. Solid foundation in probability theory, statistics, calculus and data analysis techniques. Proficient Programming Skills .Python or similar languages for data analysis and model development. Financial and Risk Acumen.Good understanding of financial instruments and core risk concepts. Attention to Detail. Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis. Effective Communication. Ability to explain technical concepts effectively to both technical and non-technical audiences. Hours 45 Job Posting Closing Date: 31/07/2025

3+ years of experience in development of regulatory credit risk (PD, LGD and EAD) and/or provision (IFRS9) models Exposure to banking book and knowledge of BASEL/IFRS9 guidelines is highly desirable; Exposure to guidelines from European Regulators is desirable Programing knowledge in SAS and/or R Excellent written (documentation) and oral communication skills in English LEADERSHIP SKILLS: Client Focus, Team Sprit, Commitment, Responsibility and Innovation As a part of the Risk Department, you will be at the center of Socit Gnrales business. The Risk Department aims to contribute to the development of business lines and their profitability through a challenging risk culture. Working within the Risk Department is intellectually stimulating, and current economic activities guide our analysis on a daily basis. As a key business partner, the department is in close proximity to all of the Groups business lines. Joining us would mean integrating into a network of proven excellent at the very center of the banks activities, opening access to new and exciting development opportunities. Within RISQ, the department ERA (Enterprise Risk Analytics) handles the analysis and the support in the steering of all the risks of the Group: supervision and steering of the rating system of the credit risk, the measure of the capital of the Group and the provisions (reserves), the analysis of the risk profile of the Group including under stress and in forward-looking vision.. These assignments, carried out in the context of projects or production processes whose scope or results are significant for the management of the Group or its compliance with banking regulations, are subject to defined and constrained schedules and resources, in the contexts demanding economic and regulatory environment. Profile required Masters or PhD (or similar) in a quantitative subject such as Mathematics, Physics, Economics or Finance, or a track record of performance that demonstrates this ability

Project Overview The candidate will be working on the Model Development as a Service (MDaaS) initiative, Which focuses on scaling machine learning techniques for exception classification, early warning signals, Data quality control, model surveillance, and missing value imputation. The project involves applying advanced ML techniques to large datasets and integrating them into financial analytics systems. Key Responsibilities Set up Data Pipelines: Configure storage in cloud-based compute environments and repositories for large-scale data ingestion and processing. Develop and Optimize Machine Learning Models: Implement Machine Learning for Exception Classification (MLEC) to classify financial exceptions. Conduct Missing Value Imputation using statistical and ML-based techniques. Develop Early Warning Signals for detecting anomalies in multi-variate/univariate time-series financial data. Build Model Surveillance frameworks to monitor financial models. Apply Unsupervised Clustering techniques for market segmentation in securities lending. Develop Advanced Data Quality Control frameworks using TensorFlow-based validation techniques. Experimentation & Validation: Evaluate ML algorithms using cross-validation and performance metrics. Implement data science best practices and document findings. Data Quality and Governance: Develop QC mechanisms to ensure high-quality data processing and model outputs. Required Skillset Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning). Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks. Deep understanding of time-series modeling, anomaly detection, and risk analytics. Experience with big data processing and financial data pipelines. Ability to deploy scalable ML models in a cloud environment. Deliverables & Timeline Machine Learning for Exception Classification (MLEC): Working codes & documentation Missing Value Imputation: Implementation & validation reports Early Warning Signals: Data onboarding & anomaly detection models Model Surveillance: Fully documented monitoring framework Securities Lending: Clustering algorithms for financial markets Advanced Data QC: Development of a general-purpose QC library Preferred Qualifications Prior experience in investment banking, asset management, or trading desks. Strong foundation in quantitative finance and financial modeling. Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

Responsibilities: Develop and optimize fixed-income analytics in C++ and integrate with existing client systems. Work on curve construction, bond pricing, and risk management analytics. Collaborate with quants and software engineers to enhance the performance of analytical models. Implement robust software engineering practices to ensure model reliability and scalability. Conduct thorough unit testing and performance benchmarking. Skills & Qualifications: At least 7-8 years of experience in building various models in the financial services space Strong proficiency in C++, including multithreading and performance optimization. In-depth understanding of fixed-income securities, term structure models, and derivatives pricing. Experience with financial libraries such as QuantLib or proprietary quant frameworks. Exposure to cloud-based and high-performance computing environments. Strong knowledge of risk analytics and fixed-income portfolio management. Key Responsibilities Develop and implement Treasury Futures and Options on Treasury Futures Models in BondCalc. Expand and enhance test suites to validate the implementation. Collaborate with Quants and Quant Developers to modernize analytics infrastructure for bonds. Ensure compliance with industry-standard style guidelines for coding and model implementation. Conduct model validation, risk calculations, and performance tuning. Required Skillset Strong expertise in C++ development, particularly in quantitative analysis and financial modeling. Experience with Python, TypeScript, and SQL for data processing and analytics. Deep knowledge of fixed income analytics, risk modeling, and derivative pricing. Hands-on experience with server-side infrastructure and database components. Ability to work in a trading desk or asset management environment. Ensure compliance with industry standards and testing protocols. Preferred Qualifications Experience working in investment banking or asset management environments. Familiarity with quant libraries and financial engineering concepts. Proven track record of delivering large-scale quantitative development projects.

Job Title: RSKRisk Methodology Group Job Code: 10598 Country: IN City: Mumbai Skill Category: Global Markets Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Division Overview: The Risk Management Division encompasses the firms comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firms riskreturn profile that ensures the efficient deployment of the firms capital. It is one of the firms core competencies and is independent of the trading areas and operational areas. Business Unit Overview: Credit Risk Analytics team within Risk Methodology Group (RMG) develops the quantitative methodologies used to measure counterparty credit risk, provides analyses and consultation on credit risk quantification, and participates in global efforts on modelling credit risk exposure. This team is responsible for enhancement and methodological support to accommodate new business needs and maintain regulatory compliance to IMM approval from various global regulators. This team also provides active support to business/risk managers by carrying out pretrade analytics on live complex structured derivatives transactions. At a generic level the team responsibilities include working on various regulatory requirements comprising model development and reviews, Backtesting of models, calibration, User Acceptance Testing, documentation of models, etc. Position Specifications: Corporate Title Analyst Functional Title Analyst Experience 1 to 3 years Qualification Masters in Quantitative discipline (B.E/B. Tech+, M. Tech, MSc (Maths/Stats), Econometrics) Role & Responsibilities: This role will focus on the SFT side of the business from counterparty risk point of view; Provides analysis and consultation on counterparty credit risk quantification and participate in global efforts on modelling counterparty credit risk exposure. Work closely with model Global development teams on implementation of models and systems. Work on various regulatory requirements including Back testing, Model reviews, Calibration, User Acceptance Testing, Documentation of models. Work on ad hoc risk models as per business requirements. Mind Set: Mandatory Desired Domain 1 + years of experience working within risk domain, preferably counterparty risk Knowledge of Bonds/Repos, HCs, Stochastic Calculus, Counterparty exposure concepts, Regulatory regime Knowledge of fixed income including pricing various traded bonds ranging from vanilla to exotic Proficiency in ExcelVBA/Python Strong verbal and written communication skills Delivery focussed with the ability to work well under pressure and meet deadlines under compressed timescales Organisational skills, multitasking and detail oriented The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.

Not Applicable Specialism Risk Management Level Senior Manager & Summary . At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Are you looking for a technically challenging role? then we ve one for you. We are looking for a seasoned software engineer to design and execute our platform migration from monolithic to microservice based architecture. In this role you ll / Your main responsibilities You ll be responsible for redesigning the application from present monolithic architecture to microservices based architecture, in the most efficient and scalable way. You ll be owning the application migration from current platform to data driven streaming platform Responsibilities Autonomous, motivated, and selfdriven. A very good team player who can synergize among all relevant stakeholders in the division effectively. Passionate to strive for Customer experience and ontime delivery. An excellent communicator who can have critical conversations with Peers and other relevant stakeholders. articulate and impart knowledge to stakeholders effectively. Accountability, commitment to deliver quality work, ready to embrace challenges. Plans, Prioritize & owns individual & group activities effectively. Mandatory skill sets Hands on experience in Java 8 Hands on experience in designing and developing applications using Spring / Guice Hands on experience in Sprint Boot, Web service (Rest Service), Microservice based Architecture Good understanding of design patterns and should be able to design solutions and algorithms. Experience in migrating monolithic application to microservice will be a plus Experience with NoSQL DBs. Couchbase, MongoDB will be a plus Experience in any Message Queue, Kafka knowledge will be a plus Exposure to OpenShift, Docker + Kubernetes will be a plus Good understanding of NFRs Good understanding of CICD Preferred skill sets Experience in Airline domain is a plus Years of experience required 4 to 9 years of experience in analysis, design , development of software systems in Java Education Qualification Any Education Degrees/Field of Study required Bachelor Degree Degrees/Field of Study preferred Required Skills Java Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting {+ 32 more} No

As a Risk & Credit Manager, you will be responsible for leading our credit risk strategy, adjudication processes, and decision models. Your expertise in credit policy and underwriting, combined with hands-on experience in advanced risk analytics and machine learning algorithms, will be crucial in strengthening our risk management framework. You will drive data-driven decision-making and implement scalable credit strategies that balance growth with robust portfolio quality. Your key responsibilities will include overseeing and improving credit adjudication policies, designing and monitoring machine learning-based credit risk models, building portfolio monitoring dashboards, and using actionable insights from credit performance data to refine policy and product features. Collaboration with cross-functional teams and ensuring compliance with internal risk policies and external regulatory guidelines will also be a part of your role. To be successful in this role, you should have 5-10 years of experience in Credit Risk, Underwriting, or Credit Policy roles within NBFCs, Banks, or Fintechs. Hands-on experience in designing and implementing credit adjudication frameworks, a good understanding of machine learning algorithms, exposure to global best practices in credit risk, and strong analytical skills are required. Additionally, you should have a proven track record of process improvement initiatives and excellent stakeholder management and communication skills. Joining our team will provide you with the opportunity to work on cutting-edge credit products, build next-generation risk management frameworks, and experiment with new data sources, tools, and algorithms in a collaborative and merit-driven work culture. If you are a graduate/postgraduate in Finance, Statistics, Economics, or a relevant quantitative field and looking for a Full-time, Permanent role with benefits such as flexible schedule, health insurance, leave encashment, paid sick time, paid time off, and provident fund, we look forward to having you on board.,

About this role About the Role Are you interested in building innovative technology that transforms the financial marketsDo you enjoy working at the speed of a startup, solving some of the world s most exciting challengesDo you want to collaborate with hands-on leaders in technology and financeIf so, BlackRocks Associate - Quality Engineering role might be the perfect opportunity for you. This role presents an outstanding opportunity to work on BlackRocks investment operating system, Aladdin or equivalent experience. Aladdins advanced risk analytics and comprehensive portfolio management tools empower informed decision-making and establish a connective tissue for thousands of users investing worldwide. Joining the Aladdin Engineering group puts you at the forefront of developing next-generation technology that intersects information, people, and technology globally. Key Responsibilities Become a Subject Matter Expert on applications and own Quality attestations for sign-off on production releases. Be responsible for functional, non-functional, and regression testing activities of a project. Craft and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in C#/Java, Selenium, or other test frameworks to craft, develop, and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow the Agile model to track and manage sprint tasks using Azure DevOps, which includes sprint planning, execution, and retrospectives. Analyze production incidents to identify action items for QA and Dev teams to drive production stability. Provide feedback to improve product quality and contribute to the improvement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Fix application, environment, or data issues. Qualifications B. E. or equivalent experience / B. Tech. or equivalent experience / MCA degree or equivalent experience in Computer Science, Engineering, or a related subject area. 4-8 years of proven experience in QA roles, preferably within the financial services industry. Skills and Experience Experience in senior QA roles within the financial services industry, ideally in asset management or a related field. Deep understanding of investment management processes, risk management methodologies, regulatory compliance requirements, or investment accounting skills. Hands-on coding experience in C#/Java. Strong knowledge of test automation frameworks, tools, and scripting languages. Outstanding analytical and problem-solving skills to identify and address complex issues. Proven track record of successfully leading and implementing QA programs that drive continuous improvement. Proficient in software quality assurance and engineering processes, methodologies, and effective approaches. Familiar with Agile software development methodologies. Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across teams with varied strengths. Good foundation in RDBMS, SQL, and application infrastructure technologies, performance testing tools & methodologies (JMeter or other), and API testing for handling complex distributed systems. Self-motivated, with a strong desire to address challenges and work closely with all levels across teams to efficiently implement solutions. Nice to Have Experience working in an Agile Development Team. Familiarity with AZURE DevOps, CI/CD integration, and associated tools and processes (Jenkins, Maven, SonarQube). Knowledge of AI and Machine Learning (ChatGPT or GitHub Copilot). Experience with Specflow/ Cucumber and BDD. Experience with API testing (Postman, Soap UI). Our benefits . Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www. linkedin. com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Reporting into both the Legal function, this role will assist both the functions in the day-to-day activities, including but not limited to providing advice, oversight, and data protection risk management to WTW businesses and functional groups, to ensure appropriate protection of personal information.Privacy Legal a. Works with the Privacy Legal Team, providing general support to the Privacy Legal function, e.g., performing specific research, or create content (e.g., slides, charts, summaries, etc.) in relation to a particular topic, subject matter, or issue, to support the Privacy Counsels in each region as required. Undertake first level contractual review on privacy clauses/..." id="meta_tag_description" /> English (EN) English (EN) Espa ol (Am rica Latina) Fran ais Fran ais (Canada) Portugu s (Brasil) Deutsch Talent Community Settings Home About WTW About Us WTW Work Flex Inclusion and Diversity Early Careers Level Up with WTW Apprenticeships Apprenticeship FAQ Internships Graduate Programs Events Experienced Professionals Consulting Risk Analytics And Modeling Actuarial Broking/Placement Technology Operations Corporate Client Management Sales Project Management Research And Product Development Underwriting Service Center Search Jobs FAQs Hints and Tips Our Stories Sign In Search by job title and location Find a job To stay informed about new openings: Join our talent community Kiosk mode Legal - Privacy Sr Advisor Mumbai, Maharashtra, India Legal - Privacy Sr Advisor 202504995 Mumbai, Maharashtra, India Full time Add to favourites Favourite View favourites Description Reporting into both the Legal function, this role will assist both the functions in the day-to-day activities, including but not limited to providing advice, oversight, and data protection risk management to WTW businesses and functional groups, to ensure appropriate protection of personal information. Privacy Legal a. Works with the Privacy Legal Team, providing general support to the Privacy Legal function, e.g., performing specific research, or create content (e.g., slides, charts, summaries, etc.) in relation to a particular topic, subject matter, or issue, to support the Privacy Counsels in each region as required. Undertake first level contractual review on privacy clauses/ DPAs, etc. subject to oversight by the Privacy Counsels. Support privacy projects including gap analysis, implementations, and other activities in support of implementation projects globally. Assist with horizon scanning, identifying, and analyzing new and updated global privacy laws and regulations. Participate and attend regular meetings as may be arranged from time to time. Other assignments as determined by Privacy Counsels and Privacy Legal Team. Responsibilities Provide general support to the Privacy Legal function, e.g., performing specific research, or create content (e.g., slides, charts, summaries, etc.) in relation to a particular topic, subject matter, or issue to support the Privacy Counsels in each region as required. Provide assistance with horizon scanning, identifying, and analyzing new global privacy laws and regulations in support of implementation (e.g., gap analysis updating privacy notices, analyzing contract requirements, identifying transfer mechanisms, etc.). Undertake first level contractual review on privacy clauses/ DPAs, etc. subject to oversight by the Privacy Counsels. Supporting projects and initiatives from the Privacy Team. Qualifications Demonstrable track record of: Working with other teams and disciplines towards a common goal A developing knowledge and enthusiasm for Legal and Privacy subject matters Problem solving and maintaining SLAs in a highly available environment. Working to deadlines and maintaining a high degree of organization to your work Highly computer literate Communicating clearly Beneficial qualifications include: LLB or equivalent experience in a privacy field Privacy certification(s) Beneficial but not essential: An understanding of privacy regulations (e.g., GDPR, CCPA and other U.S. and global privacy laws) as well as wider regulations/ practices in novel topics such as responsible AI. Prior experience in contract review and advise on legal requirements. The Company WTW is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, WTW has 40,000 employees serving more than 140 countries. We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets, and ideas the dynamic formula that drives business performance. Together, we unlock potential. Learn more at https://www.wtwco.com . WTW is an equal opportunity employer WTW believes that effectively managing a diverse workforce is vital to our business strategy. We have an obligation to our organization, ourselves, and our clients to hire and develop the best people we can find. We will continually review our policies and practices to ensure that all areas of the employment process (including recruiting, hiring, work assignments, compensation, benefits, promotions, transfers, company-sponsored development programs and overall workplace experience) are free from discriminatory practices. We are committed to equal employment opportunities at WTW. Unsolicited Contact: Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of WTW are considered property of WTW and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for WTW, any such agency must have an existing formal written agreement signed by an authorized WTW recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by WTW. WTW is an equal opportunity employer.

a. Works as part of the Privacy/Legal Team, providing support on data disclosure and other security incidents, ensuring that requisite teams are engaged on an incident and following up where necessary to ensure that all appropriate steps are followed. Role includes intake and triage, written analysis, and end-to-end coordination and management of reported security incidents throughout the life cycle of an incident investigation. Provide support for the incident process, including written analysis and escalation of incidents where a response is required within a specified timeframe; Communicate in writing complex ideas in a way that is easy to understand. Produce..." id="meta_tag_description" /> English (EN) English (EN) Espa ol (Am rica Latina) Fran ais Fran ais (Canada) Portugu s (Brasil) Deutsch Talent Community Settings Home About WTW About Us WTW Work Flex Inclusion and Diversity Early Careers Level Up with WTW Apprenticeships Apprenticeship FAQ Internships Graduate Programs Events Experienced Professionals Consulting Risk Analytics And Modeling Actuarial Broking/Placement Technology Operations Corporate Client Management Sales Project Management Research And Product Development Underwriting Service Center Search Jobs FAQs Hints and Tips Our Stories Sign In Search by job title and location Find a job To stay informed about new openings: Join our talent community Kiosk mode Legal - Data breach IR investigation Mumbai, Maharashtra, India Legal - Data breach IR investigation 202504923 Mumbai, Maharashtra, India Full time Add to favourites Favourite View favourites Description a. Works as part of the Privacy/Legal Team, providing support on data disclosure and other security incidents, ensuring that requisite teams are engaged on an incident and following up where necessary to ensure that all appropriate steps are followed. Role includes intake and triage, written analysis, and end-to-end coordination and management of reported security incidents throughout the life cycle of an incident investigation. Provide support for the incident process, including written analysis and escalation of incidents where a response is required within a specified timeframe; Communicate in writing complex ideas in a way that is easy to understand. Produce periodic and ad-hoc reports for the use of the team. Research and apply privacy laws and regulations to investigation outcomes and make recommendations; and track and identify privacy/legal impact to WTW. Responsibility: Receive and provide triage reports for security incidents from across the business including: Making a record of the incident and undertake triage Review and confirm facts of an incident to isolate what may be missing or misstated Isolate key clauses in contracts to identify legal obligations Coordinate with the Legal lead of the incident, as well as engagement of any other known stakeholders Provide timely escalation of severe incidents or non-compliance to agreed service level agreement (SLA) for incident progression Identify underlying trends through the production of reports, and potential control gaps Ensure all incident handling and response best practices, guidelines and standards are followed Ensure accurate and clear communication with stakeholders, including through direct and clear written communication Ensure the timely production of reports for the team Qualifications Demonstrable track record of: Working with other teams and disciplines towards a common goal A developing knowledge and enthusiasm for Legal and Privacy subject matters Problem solving and maintaining SLAs Working to deadlines and maintaining a high degree of organization to your work Highly computer literate Communicating clearly Experience with business and legal writing. Beneficial qualifications include: Law degree, or BSc with law component, or equivalent qualification Beneficial but not essential: An understanding of cyber security An understanding of privacy regulations (e.g., GDPR, HIPAA and other U.S. and global privacy laws) Privacy certification(s)

Responsibilities We are looking for a candidate with FactSet experience who will assist in the implementation and later the smooth running of the FactSet process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role. Experience with FactSets Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios. Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up. Connect with FactSet portfolio services on missing and erroneous security analytics daily. Ensure the smooth running of the FactSet upload, calculation and extraction process runs to time daily. Use FactSet security modelling application to upload the terms of a security not covered by FactSet. Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, FactSet upload engine. Monitor dashboards comparing the data accuracy of holding positions across all asset types from the FactSet output and another internal Wipro source to ensure reliability of data. Ability to document and communicate complex technical knowledge effectively. Demonstrated ability to work under minimal direction. Ability to work collaboratively across divisions. Applications in FactSet that would be beneficial to understand: Security Modelling Cornerstone Portfolio reporting batcher Fixed Income Analytics Batch Data Central This role would involve close relations with the risk management, data governance and technology solutions teams. Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client Update job knowledge by participating in self learning opportunities and maintaining personal networks

Job Title - S&C Global Network - AI - CFO & EV - Treasury & EPM Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Treasury Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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 Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of EPM, Treasury & Tax for Accentures clients. Advise clients on various EPM, Treasury & Tax initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes. Develop and present Proof of Concept for key clients, where applicable. Practice Enablement Mentor, coach, and guide analysts and consultants. Drive innovations and initiatives to enhance the Practice. Develop thought leadership and disseminate information on emerging trends in EPM, Treasury & Tax. Support sales team efforts by assisting with RFPs, RFI, designing POVs, and GTM collateral. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Good experience with data, analytics, and AI technologies & tools, with a data-native mindset and a deep understanding of statistics for business applications. Must have functional expertise in treasury management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have functional expertise in Enterprise Performance Management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have led teams, driven interactions with senior stakeholders, designed AI-led transformation solutions, overseen program delivery, and value realization. Must be part of prior solutioning and proposal deals. Good to have hands-on experience in building and deployment of AI/ML/Statistical Models -- Statistical Algorithms, Segmentation and Predictive Modeling, ML algorithms, CV / NLP algorithms, Decision Trees, LLM based solutions etc. Good to have experience in multiple industries. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: 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 workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, 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): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred