604 Risk Analytics Jobs - Page 7

Overview of FMA FMA provides a differentiated range of advisory services, leveraging BlackRocks Aladdin platform and the firms sophisticated capital markets, data and analytics, technology, and financial modeling capabilities while maintaining information barriers FMA was founded in 2008 in response to the unprecedented challenges governments, financial institutions, and central banks faced as they confronted the financial crisis They sought an impartial expert with the expertise and technology to help address some of their most difficult and challenging problems, from analyzing and unwinding complex asset portfolios to helping reassess central bank balance sheets To meet that need, BlackRock established Financial Markets Advisory as a separate and independent business from BlackRock s traditional asset management business FMA advises financial institutions, regulators, and government entities on their most critical financial issues Example areas of support include bank stress-testing, unwinding asset portfolios, designing and implementing bond purchase programs to support to the economy, and climate risk analytics and advisory We work with senior management at these organizations, with a focus on balance sheet, capital markets, and sustainability considerations as well as a wide range of other strategic, regulatory, and operational challenges Since our founding, we have completed over 500 assignments for more than 280 unique clients in 37 countries Our professionals work out of all three BlackRock regions (Americas, EMEA, APAC), allowing FMA to serve clients in all locations and time zones and respond to urgent needs as they arise For assignments demanding cross-disciplinary expertise, we unite professionals from multiple offices to deliver the most effective team for any client situation What will you do on the team Team members work on a diverse set of client engagements as part of multi-disciplinary project teams, encompassing subject matter authorities, engagement managers, and others In this role you will develop and use data and analytical skills to create, review, and deliver analyses to clients, frequently using BlackRock proprietary technology platforms Candidates must be interested in financial markets and be able to apply creative solutions to solve client objectives and challenges Team members will gain subject matter expertise about financial institutions and relevant capital markets and sustainability objectives The team has a strong focus on scalability to foster business growth Individuals support this by playing a meaningful role in the design and enhancement of processes and tools The ideal applicant will craft and implement solutions to address a variety of client objectives, rooted in a clear understanding of the client and business context driving client opportunities and challenges The role involves frequent interaction and engagement with FMA team members globally across the US, EMEA, and APAC offices, and with partner teams across the firm We deploy the breadth and depth of the firm s capabilities to deliver success to our clients Team members gain exposure to senior internal and external leaders on a range of complex financial topics and participate in client pitches, presentations, and deliverables We work in a fast-paced environment frequently subject to tight timeframes and strive to provide a substantial impact to our clients Our work provides team members with the ability to keep abreast of capital market and broader financial institutions trends Understanding the constantly evolving landscape of relevant technological tools and solutions is also key to success Qualifications and Capabilities 1-4 years of proven experience in fixed income space, preferably in valuation and risk assessment of securitized products such as mortgaged backed securities (RMBS, CMBS, etc), asset backed securities, CLOs, etc Interest in understanding financial institutions and their capital markets considerations Excellent problem-solving abilities and intellectual curiosity Passion for data and analytical work and in performing sophisticated analyses Meticulous attention to detail and strong sense of initiative and ownership Comfort with constantly adapting and learning new skills as markets and our clients needs evolve; able to navigate diverse projects with varied requirements Strong PowerPoint presentation skills and very good communication abilities Proven ability to manage stakeholders effectively across functions and geographies Programming skills in Python and SQL preferred; familiarity with scripting, databases, modeling, and visualization tools is a plus Any progress towards professional qualifications like CFA or FRM preferred 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: wwwlinkedincom / 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

Senior Data Scientist (AI/ML Developer) About the Company: Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is the place for someone thats passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: As a Senior Data Scientist, you will lead and deliver high-impact projects in credit and fraud risk analytics. You will design, develop, and deploy advanced ML/statistical models and scorecards, mentor junior team members, and work directly with clients to translate business challenges into data-driven solutions. Responsibilities & Requirements: - 3-7 years of experience in AI/ML or data science roles with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Strong proficiency in Python and SQL with proven experience in handling large datasets. - Strong track record of building and deploying ML/statistical models or scorecards. - Ability to interact with clients and translate business problems into AI/ML frameworks - Leadership skills: Mentoring junior team members and driving projects independently Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Data Scientist (AI/ML Developer) About the Company: - Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. - We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is 'the place' for someone that's passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: We are looking for a Data Scientist (AI/ML Developer) to join our Bangalore or Mumbai team. The role focuses on credit and fraud risk analytics within the retail banking space. - You will design, develop, and implement machine learning models, statistical models, and scorecards that drive smarter decision-making for financial institutions. Responsibilities & Requirements: - Up to 3 years of AI/ML/ data science experience with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation - B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Solid proficiency in Python and SQL; experience in handling large datasets. - Hands-on experience in building and deploying ML/statistical models or scorecards. - Ability to translate business problems into AI/ML frameworks. - Strong analytical, problem-solving, and communication skills. Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Collaborative work environment and mentorship from experienced colleagues. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Data Warehouse ETL Testing Good to have skills : Risk Analytics Modelling and ReportingMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. 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 knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of migrated applications to ensure optimal functionality.- Responsible for specification, design, Build and Test of the StatistiX business services- Proactively identify the improvement areas and make efforts towards the implementation- Deliver software changes in a reliable and transparent manner, in scope, time and budget- Align with project managers, peers from Clearing & Risk IT, neighboring IT teams as well as IT Operations and control functions proactively where required- Foster an environment of pro-active communication and strive for cross location collaboration and continuous improvement- Work actively on teams and team members personal development, making an effective contribution to increase the teams diversity- Manage project priorities, deadlines and deliverables Professional & Technical Skills: - Must To Have Skills: Proficiency in Data modeling and Data lake stack- Good To Have Skills: Project Management skills, Capital Markets knowledge, Cryptography, Privileged Access Management, Security Information and Event Management, Vulnerability Management- Solid understanding of Data Modelling, Data warehousing and Data platforms design- Solid understanding of Data warehousing and Data platforms design.- Strong understanding of cloud migration strategies and best practices.- Experience with data integration tools and methodologies.- Familiarity with performance tuning and optimization techniques for cloud environments.- Good know-how on Financial Markets. Know-how on Clearing, Trading and Risk business process will be added advantage- Strong influential and communication skills to liaise with team across different demographics - Proficiency in written and spoken English is a must and German know-how will be added advantage. Additional Information:- The candidate should have minimum 12 years of experience in Data Warehouse ETL Testing.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Accounting for employee benefits, including pensions, long-term awards and gratuity leave Designing and modelling employee retirement plans for clients Advising companies on governance and best practice relating to the administration of their retirement plans You will also take on challenges in the following key areas: Clients Support all stages of actuarial, trust, and insurer consulting engagements from data validation to final client deliverables. Develop a strong understanding of the Indian and international accounting standards, as well as the broader retirement benefits landscape. Contribute to special projects involving advanced data analytics and client interactions. Assist senior team members in project planning, coordination, and timely delivery. Ensure all work meets high standards of quality and consistently exceeds client expectations. Identify opportunities to enhance our processes and deliver more efficiently Excellence Collaborate with colleagues to prepare accurate, comprehensive deliverables for key clients. Build in-depth knowledge of retirement benefit plans, funding strategies, and regulatory frameworks. Develop familiarity with the data, systems, and methodologies used in actuarial valuations and broader consulting assignments. Prepare well-structured, high-quality draft reports for review by senior analysts and consultants People Building strong colleague relationships and collaborating in cross-functional teams Communicating effectively with colleagues and clients at all levels Share knowledge and mentor interns, contributing to a culture of continuous learning and support. Qualifications To start building your future career with us, you will need to be: Currently in your final year of graduation and pursuing a bachelor s degree in Commerce, Economics, Mathematics, Statistics, Business, any Engineering or an analytical subject An excellent communicator both verbally and in writing Able to manage multiple projects and time effectively An analytical thinker with strong research skills A self-driven achiever who values teamwork, collaboration, decisiveness and integrity Proactive in meeting clients needs Able to go beyond the details and see the big picture Eager to gain and share new information and knowledge Able to build and manage relationships Comfortable working with Microsoft Office, particularly Excel

Lead the vision, roadmap, and execution of real-time support tooling for Aladdin Trader Collaborate with team members across multiple offices and countries to deliver high-efficiency, high-availability, concurrent, and fault-tolerant systems Significantly contribute to the development and scalability of Aladdin s global, multi-asset trading platform Drive the full lifecycle of projects from design and development to deployment and feedback working closely with traders to assess impact and usability Partner with product management and business stakeholders to define and evolve the product roadmap Design and develop innovative solutions to complex problems, identifying issues and roadblocks early Apply validated software engineering practices across all phases of development Ensure resilience and stability through quality code reviews, automated testing, dev ops integration, and level two production support Lead individual project priorities, deadlines, and deliverables using Agile methodologies Foster a culture of technical excellence, guiding and motivating others while brainstorming solutions to improve team productivity and efficiency Qualifications: BE/ BTECH/ MCA or any other relevant engineering degree from a reputed university 9+ years of proven experience Skills and Experience: Proven experience managing engineering teams and delivering complex software projects Strong background in real-time systems and trading technologies Strong analytical, problem-solving, and communication skills Track record of building high-quality software using design-focused and test-driven approaches Experience leading development teams or being responsible for the design and technical quality of significant systems or components Experience working in a global organization and managing distributed teams Expertise TCP, Multicast, streaming protocols, and middleware architectures A proven foundation in core Java or C++ and related technologies, with strong object-oriented programming skills and familiarity with design patterns Hands-on experience with JavaScript and TypeScript, including building web applications using Nodejs Proficiency in modern frontend frameworks such as React or Angular, and familiarity with micro front-end architectures Strong knowledge of open-source technology stacks (eg, Spring, Hibernate, Maven, JUnit) Experience with relational and NoSQL databases (eg, Apache Cassandra, MongoDB) Familiarity with microservices and APIs, ideally using REST, Kafka, or gRPC Familiarity with high-scale distributed technologies such as Kafka, Ignite, Redis Experience or familiarity with FIX protocol, market data feeds, and trading algorithms Experience with a observability framework such as OpenTelemetry or Grafana Ability to form positive relationships with partnering teams, sponsors, and user groups Interest or experience in finance, investment processes, and translating business problems into technical solutions Nice to have and opportunities to learn: Understanding of performance optimization techniques including low/no GC, off-heap caching, kernel bypass, cache locality, CPU pinning, and Linux customizations Experience with optimization, algorithms or related quantitative processes Experience with DevOps practices and tools such as Azure DevOps Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with AI-related projects/products or experience working in an AI research environment A degree, certifications or opensource track record that shows you have a mastery of software engineering principles

Acies is looking for Principal / Subject Matter Expert - ERM, ICAAP and Model Risk Management to join our dynamic team and embark on a rewarding career journey Responsibilities include planning, coordinating tasks, collaborating with cross-functional teams, and delivering results on time The position demands attention to detail, adherence to compliance standards, effective communication, and proactive problem-solving Additionally, the role involves maintaining records, analyzing data, reporting insights, and driving continuous improvement initiatives Candidates must contribute to knowledge sharing, mentorship, and support organizational goals with dedication and accountability

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; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. 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 CCARPPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team, outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess 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 experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations will be a plus for the role.

Position Summary: We are seeking an experienced professional in Risk Analytics with a strong background in developing, implementing, and optimizing credit scorecards. This role will play a key part in shaping the organizations credit risk strategy and will involve close collaboration with senior leadership to drive data-informed decisions across the credit lifecycle. Key Responsibilities: Scorecard Implementation & Strategic Development Lead the full lifecycle of credit scorecard development and validation across acquisition, behavior, and collections. Convert analytical insights into practical, scalable strategies aligned with the organization’s risk appetite. Collaborate with senior leadership to refine credit policies and decision-making frameworks based on scorecard outputs. Continuously enhance scorecard effectiveness through challenger models, overrides, and performance tracking. Cross-Functional Collaboration Work closely with product, technology, and credit teams to integrate scorecards into decision systems and operational workflows. Serve as a key link between analytics and business teams, ensuring model outputs are translated into actionable strategies. Present analytical findings and strategic recommendations to CXOs and risk committees to support high-impact decisions. Risk Analytics & Governance Oversee scorecard validation and monitoring to ensure accuracy, compliance, and alignment with regulatory standards. Conduct in-depth portfolio analysis to identify emerging risks and business opportunities. Maintain comprehensive documentation and governance protocols for model development and deployment. Required Experience & Skills: Minimum 8 years of experience in risk analytics, with a strong focus on scorecard development, validation, and strategic implementation. Proven success in deploying scorecards that are actively used in production environments. Experience managing complex scorecard structures, including segmentation, overrides, and challenger models. Solid understanding of credit bureau data (CIBIL, Equifax, CRIF) and banking risk frameworks. Strong communication and stakeholder management skills, with the ability to influence senior decision-makers.

Role: Implementation Specialist Title: Analyst Location: Gurgaon About BlackRock BlackRock is a global asset manager and technology provider Our purpose is to help more and more people experience financial well-being We help millions of people invest to build savings that serve them throughout their lives We make investing easier and more affordable We advance sustainable investing because our conviction is it delivers better outcomes for investors We contribute to a more resilient economy that benefits more people Together with our clients, we re contributing to a more equitable and resilient world today and for generations to come That s why, we re asking bigger questions of ourselves, our industry, and the world at large Questions that challenge convention and give rise to new thinking Because the bigger questions we ask, the bigger actions we can take For more information visit wwwblackrockcom Business Overview Production Solutions within Data Solutions pillar of Aladdin Data is responsible for technical configurations, day-to-day user support and overall client experience of Aladdins Data and Analytics enterprise platform - a utility-grade data factory & service toolkit that meets the diverse needs of the Aladdin community The team partners with operations and engineering to enable products and features for our clients The team is focused on growing the enterprise data asset catalog, develop institutional data domain knowledge, enhance data quality intelligence, expand data solutions capabilities and implement solutions to solve data related problems faced by our clients Through direct engagement and partnership with vendors and the business, the team helps ensure our Data & AI organization continues to maximize the client experience and business values in the evolving market while undergoing transformational changes Role Description The Production Solutions Chapter is responsible for the technical configuration required to support our clients to Aladdin s Data & Analytics enterprise platform as well as facilitating updates to the operating environment for current users The team interacts with stakeholders to understand business process needs to design & build solutions that are scalable, repeatable and integrated with various data sources to meet enterprise-wide self-service needs The team is a growing function that consists of skilled business analysts that apply standard BA techniques armed with knowledge of BlackRocks organization, process & technology to execute on a wide range of assignments The team is seeking an Analyst to support the rapidly growing BlackRock & Aladdin client pipeline and the growing existing client base You will apply your experience and in-depth understanding of Aladdin s Data & Analytics platform capabilities to design and deliver innovative solutions to our clients You will be responsible for the technical design, build and installation of our platform in close collaboration with partner teams such as BlackRock Solutions (BRS) and end users directly You will also be expected to serve as a feedback loop with our partners in Data Operations Engineering (DOE) to continuously enrich analytic capabilities in order to deliver best-in-class solutions for BlackRock and the Aladdin client community The ideal candidate is someone who enjoys shifting challenges and ambiguous environments, thinks creatively, possesses the confidence to have an opinion, takes the initiative and thrives under scrutiny and tight deadlines Key Responsibilities Own day-to-day vendor data configuration requirements of new and existing clients on our Data & Analytics Platform includes things like plotting key milestones , handling action items, coordinating with stakeholder departments , etc Provide ongoing support to the production process powering the Aladdin Data Factory help install Analytic & Reporting solutions that are customizable to meet clients needs Gain an in-depth knowledge of Aladdin functionality to ensure clients take full advantage of the suite of Aladdin capabilities Provide high quality client services externally and internally Address inquiries and resolve problems from external clients and internal BlackRock partners Act as Business Analyst and Project Manager responsible for detailing client requirements, assessing potential solutions, and ensuring key achievements are met Qualifications Outstanding academic achievement, degree in business, computer science, economics, finance, mathematics or other quantitative field of study A "Student of the Markets" mentality: Intellectually curious with a passion for learning about the global financial markets and the investment management business Relentless desire for understanding how processes work Creativity in solving unconventional problems, entrepreneurial drive to learn new skills and technologies Understand risk analytics of fixed income, equity and alternatives products Private markets or derivative knowledge is a plus Strong critical thinking and demonstratable experience using technology to solve problems at scale Track record of successfully handling and completing large and complex projects Ability to multi-task and manage cross-departmental projects in a fast-paced environment An outstanding teammate able to work in an innovative, ambitious, and fast paced environment Excellent verbal and written communication skills combined with an ability to connect across different functions and levels to convey complex concepts simply and clearly Working experience with SQL preferred Knowledge of UNIX /Linux , Python or Java is a plus 1-3 years of shown experience , preferably in financial services BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law 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: wwwlinkedincom / company / blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law

About this role: Wells Fargo is seeking a Risk Analytics Consultant 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: CA/CFA/FRM degree or higher in Finance, Accounting, Economics or Business. Experience in one or a combination of the following: analytics, reporting, finance, or accounting. Experience with Product Control function at a large bank. Solid understanding of asset backed Trading products (Bonds ABS, CMBS, RMBS, and derivativesinterest rate swaps and credit derivatives) business and products, corresponding risk measures for the purposes of analyzing changes to P&L and providing explanation to the senior management and the regulators. Job Expectations: Timely and accurate daily P&L reporting and general ledger reconciliations, primarily for the firms trading activities. P&L production will include both Comprehensive P&L and clean (risk-based) P&L Research and identify P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies; Month-end close for P&L, and substantiation of balance sheet at a detailed level; Must have strong attention to detail and ability to identify and escalate issues as needed; This role will require close and efficient communication with various groups, including Front Office, Middle Office, Market and Credit Risk, and Group Controllers; Utilize the firms P&L attribution to validate the reported P&L Track daily asset usage by Legal Entity and LoB; Produce and analyze Volcker metrics, where appropriate, to ensure accurate reporting and compliance with this rule; Prepare weekly/monthly management reports/financial highlights; Provide high quality commentary on P&L and balance sheet drivers; Analyze monthly expense trends and prepare analytics; Develop a solid understanding of the legal entities on which trading activities are conducted, and ensure the P&L is reported accurately on each entity; Prepare material to support internal/external audit examinations/queries; Ensure compliance with internal guidelines (e.g. COSO controls), and internal and external audit recommendations; Develop and improve upon internal controls through critical evaluation of current environment, with the goal of implementing consistent, industry best practices across the enterprise; Maintain accurate policies and procedures that are up to date and can be easily followed by internal and external audit groups. Experience working in global teams. Proficient working with complex data, especially associated with trading activities. Advanced skills in MS Office products especially MS Excel and MS Access and tools like SQL, Tableau, Alteryx, Power BI Essbase (database with GL and org hierarchy info) Experience supporting structured products trading businesses. Experience researching and resolving P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies using both Finance and Front Office systems. Strong interpersonal skills to effectively build and maintain partnership with key stakeholders and partners. Outstanding problem solving skills. Ability to be agile, flexible and adjust plans quickly to meet changing business needs Ability to perform well under pressure.

Job Title: Credit Card Sr. Risk Analyst Location: Hybrid Model - Bangalore (Preferred)/Gurgaon Job Type: Fulltime Years of Experience - 5+ years 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: The Credit Card Risk Analyst will play a critical role in shaping our risk management strategies and enhancing our product offerings. The ideal candidate will have a strong background in the credit card industry (preferably for US market), with a focus on credit card risk strategy, product development, and financial analytics. This position requires a blend of analytical skills, technical expertise, and strategic thinking to drive projects that improve our risk controls and overall product performance. Key Responsibilities: Develop and implement risk strategies for credit card products, ensuring alignment with business objectives and regulatory requirements. Conduct in-depth financial analytics to assess product performance, identify trends, and recommend actionable insights. Collaborate with cross-functional teams to design and enhance risk controls, ensuring robust governance and compliance. Utilize SQL and Python to extract, manipulate, and analyze large datasets, providing data-driven recommendations to stakeholders. Lead projects focused on product development, risk assessment, and strategic initiatives, ensuring timely delivery and alignment with business goals. Monitor industry trends and regulatory changes to proactively adjust risk strategies and product offerings. Prepare and present findings, reports, and recommendations to senior management and other stakeholders. Qualifications: Bachelors degree in Finance, Economics, Data Science, Engineering or a related field; Masters degree preferred. Minimum of 5 years of experience in the credit card industry, with a focus on risk strategy, product management, or analytics. Strong understanding of risk management principles, financial analytics, and product development processes. Proficient in SQL and Python; experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent analytical and problem-solving skills, with the ability to interpret complex data and make informed decisions. Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders. Proven ability to work collaboratively in a fast-paced, team-oriented environment.

Job Title: Collection Analytics (Manager) Location: Bangalore/Hyderabad/Noida/Chennai/Gurgaon Job Type: Fulltime Years of Experience- 5-10 years 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 Overview: Straive is seeking an experienced Manager - Collection Analytics to join our team. As a remote employee based in the USA, you will work closely with our team to improve our collection strategies and tactics. Roles and Responsibilities: • Develop and implement collection strategies and tactics based on data analysis and insights. - Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes. Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes Manage and mentor a team of collection analysts. - Monitor and report on collection metrics, including delinquency rates and recovery rates. - Communicate findings and recommendations to senior leadership. • • • • Risk-Based Collections: Risk scoring is often used to prioritize high-risk accounts for immediate action while allowing more lenient approaches for low-risk borrowers. • The use of advanced analytics can fine-tune this risk scoring process, allowing banks to focus resources where they are most needed. Collection Strategy Optimization: Data analytics driven collections optimization Performance Monitoring & Reporting: • • Advanced analytics tools provide real-time insights into the effectiveness of various collection strategies, teams' performance, and key performance indicators (KPIs) such as recovery rates, time to recovery, and operational efficiency. Dashboards can help in tracking progress and making quick adjustments to tactic. Skills Required: • • Bachelor's or Master's degree in a relevant field. 5-10 years of experience in collection analytics. - Strong analytical skills and experience working with large data sets. • • • • • Experience with statistical analysis and modeling. Strong communication and leadership skills. Ability to work independently and as part of a team. Knowledge of collection regulations and industry best practices. Proficiency in statistical software and programming languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).

As the Senior Vice President of Catastrophe Modelling & Exposure Management, you will play a crucial role in leading the service delivery, capability growth, P&L management, and digital transformation for our analytics business. Reporting to the EVPData & Analytics, you will oversee multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics for global insurance clients. Your responsibilities will include ensuring consistent service standards, client satisfaction, and strategic planning with clients to achieve growth objectives. You will be responsible for defining and implementing the CAT and exposure analytics strategy to align with company growth and market trends. Promoting a culture of experimentation and hypothesis-driven solutions within analytics teams, you will establish centers of excellence for specific risk areas and expand analytics coverage to include underwriting, claims, and portfolio management. Additionally, you will lead initiatives focused on automation, AI integration, and digital workflow optimization to improve productivity and value for future requirements. In this role, you will have ownership of end-to-end planning, execution, and profitability for the business. Tracking revenue, optimizing costs, and ensuring delivery excellence across the entire portfolio will be key aspects of your responsibilities. Collaborating with technology and product teams, you will build scalable AI tools and IP assets, spearhead business automation, and lead initiatives to minimize manual intervention and accelerate turnaround times. With over 18+ years of experience leading global delivery, analytics, and technology teams in P&C insurance, you will bring expertise in catastrophe modeling, exposure management, actuarial analytics, data engineering, and transformation. Your strategic thinking, experience in distributed team management, and proficiency in catastrophe modelling software will be instrumental in driving the success of our analytics business. To excel in this role, you should have a Master's degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field, with at least 15 years of experience in catastrophe modelling or exposure management. Strong analytical and problem-solving skills, demonstrated leadership ability, and excellent communication skills are essential. Professional certifications like CPCU, ACAS, or FCAS are advantageous. If you are interested in joining our team and have the required qualifications and experience, please share your CV at aishwarya@beanhr.com.,

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 we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transactions, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. The Financial Services Risk Management (FSRM) group within EY's FSO Advisory Practice provides solutions to help FSO clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with their capital markets activities. The Credit Risk (CR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management within the banking book portfolio. Key Responsibilities: - Demonstrating deep technical capabilities and industry knowledge of financial products, especially lending products. - Understanding market trends and demands in the financial services sector to address client issues effectively. - Monitoring progress, managing risk, and communicating effectively with key stakeholders. - Playing an active role in mentoring junior consultants and reviewing tasks completed by junior staff. - Flexibility to work across projects involving model audits, validation, and development activities. Qualifications, Certifications, and Education: Must-have: - Postgraduate degree (masters in accounting, finance, economics, statistics, or a related field) with at least 3 years of related work experience. - End-to-end understanding of model development/validation of various financial areas. - Knowledge of Credit Risk and Risk Analytics techniques. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to summarize key details effectively. - Strong background in statistics and econometrics. - Ability to work independently with minimal supervision. - Strong technical skills, proficiency in Advanced Python, SAS, SQL, R, and Excel. Good-to-have: - Certifications such as FRM, CFA, PRM, SCR, RAI. - Credit Risk/Regulatory Model Development knowledge. - Proficiency in Java/C++ and experience in Data/Business Intelligence Reporting. - Knowledge in Machine Learning models and its applications. - Willingness to travel to meet client needs. - Previous project management experience. EY exists to build a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. With diverse teams in over 150 countries, EY provides assurance through data and technology and helps clients grow, transform, and operate across various services.,

As a Executive / Senior CAT Modeller, who will be responsible for leading catastrophe risk analytics, model validation, and portfolio risk management. You will collaborate onsite key stakeholders, guide junior modellers, and drive innovation in catastrophe modelling techniques. Freshers / Previous experience in CAT modeling with expertise in tools AIR, RMS. Strong quantitative, analytical, and problem-solving abilities. Excellent written and verbal communication skills. Good to have Insurance business knowledge, analytical skills,

ABOUT FACTSET FactSet (NYSE: FDS | NASDAQ: FDS) delivers cutting-edge analytics, world-class service, comprehensive content, and innovative technology to empower over 218,000 users to identify opportunities and act swiftly. Committed to providing investment professionals with a competitive edge, FactSet offers fresh perspectives, actionable insights, and unparalleled support from its dedicated specialists. Founded in 1978, FactSet operates from 34 offices across 19 countries, employing over 12,200 people globally. With annual revenues exceeding $2.09 billion, FactSet is headquartered in Norwalk, Connecticut. VALUES THAT DEFINE OUR CULTURE We are unified by the spirit of going above and beyond for our clients and each other. We look to foster a globally inclusive culture, enabling our people to be themselves at work and to join in, be heard, contribute, and grow. We continually seek to expand our workforce with diverse perspectives, backgrounds, and experiences. We recognize that our best ideas can come from anyone, anywhere, at any time and help us provide the best solutions for our clients around the globe. Our inclusive work environment maximizes our diversity values, engagement, productivity, and ultimately makes FactSet a fun place to work. PROCESS BRIEF Our clients are increasingly seeking ways to optimize the integration and maintenance of their workflows to free up time, reduce operational costs, and minimize personnel risk. FactSet's Managed Services, leveraging our middle office solutions, allow users to navigate complex workflows, ensure data quality, and access actionable information faster. FactSet's Performance Managed Services allow our clients to prioritize analysis over data and system upkeep. Our acclaimed Performance Solution assists with scaling operations, managing data ingestion, account configurations, portfolio and security-level validation, and performance and attribution calculation. FactSet's Risk Managed Services allow clients to determine and adopt risk best practices ranging from advanced data modeling techniques to results interpretation to risk mitigation steps. Our top-tier Risk Analytics equip clients with tools to understand risk drivers and changes. JOB RESPONSIBILITIES Talent Development: Possess expertise or a comprehensive understanding of processes, products, and/or the business to facilitate communication between functional teams, share knowledge, and promote a collaborative approach. Focus on talent retention, effective backup planning, and managing team staffing within respective sub-functions. Maintain team engagement and provide constructive feedback to direct reports and team members to achieve common objectives. Independently develop and report on operational performance metrics and KPIs. Utilize analytical tools and quantitative methods such as trend analysis, forecasting, and optimization to enhance business function performance. Manage workforce efficiently, including capacity planning, leave management, BCP management, time tracking, and KPI monitoring of the teams. Apply knowledge of different asset class valuations, pricing, and terms and conditions regularly. Additionally, understand the modeling of private assets or OTC instruments. Have hands-on experience with Performance & Attribution calculations and assist in analyzing reports for institutional clients and investment managers globally across multiple asset classes. Perform portfolio analysis to explain return attribution and characteristics. Conduct deep dives into portfolio analytics for client portfolios, perform stress testing, custom scenario analysis, calculate VaR at both security and portfolio levels, etc. Ensure client requirements are comprehended during account onboarding and that internal systems and SOPs are updated to provide ongoing support during BAU. Exhibit detailed knowledge of various tools, utilities, and processes used by the team to execute and manage quality assurance processes. Implement Performance Improvement Plans (PIP) when necessary. Eligibility Criteria Skills Required Preferred: Post-graduate degree(s) and/or certifications like CFA/FRM would be an added advantage. 5-8 years of experience with multi-asset classes, performance, attribution, and risk. 2-3 years experience managing large or global teams. Experience with follow the sun model for global client support. Ability to work in a hybrid setup with more RTO than WFH. Capable of working independently and collaboratively. Company Culture and Benefits: At our organization, we foster a collaborative and inclusive culture that encourages growth and innovation. We offer competitive benefits and provide ample opportunities for professional development, paving the way for exciting career advancement within the Financial-Technology industry. Diversity At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Returning from a break We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.

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 Management Minimum 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. Show more Show less

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 Management Minimum 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. Show more Show less

The Manager Internal Audit is responsible for executing internal audits across various business functions, identifying process and control gaps, and implementing risk mitigation strategies. This role involves working closely with business teams, driving process improvements, and developing risk analytics to enhance business efficiency. Key Responsibilities: Financial Outcomes: - Execute internal audits across business functions, ensuring process maturity and risk mitigation. - Support audit planning and execution across sales, marketing, supply chain, procurement, finance, and other key business areas, including IFC. - Identify control weaknesses, document findings with evidence, and provide actionable recommendations. - Develop risk analytics and dashboards to enhance control mechanisms. - Support special assignments and investigations to strengthen controls and improve processes. Customer Service: - Proactively identify and highlight challenges and conflicts during audits execution. - Work with audit lead and business on pending audit actions to ensure timely implementation of audit recommendations and agreed action plans. - Engage with low to middle management for business in aligning the audit observations, taking their inputs to enhance correctness and quality of observation. - Provide industry-based insights to the stakeholders, during the discussion for better clarity on process gaps, observations, issues etc. Internal Process: - Draft quality reports with clear recommendations, specific action plans, and concise reporting. - Work alongside with co-sourcing and in-house teams to deliver the engagement. - Embed audit inputs from CIA and audit lead, ensure comprehensive audit coverage, robust test procedures, and quality observations. - Ensure audit progress in line with agreed scope document to execution and provide regular updates. - Proactively highlight challenges for timely audit completion in line with agreed timelines. - Propose practical and value-added recommendations to address control weaknesses and/or process inefficiencies. Ensure factual accuracy of observations and alignments with business. - Plan and conduct meetings with auditee at the end of fieldwork, providing clear explanations. - Assist in benchmarking processes with peer FMCG companies to identify improvement areas and best practices. Innovation and Learning: - Support and develop need-based analytics on TGO platform for Internal audit as well as for business on control related aspects. - Attend the trainings suggested by the audit leads and focus on professional development agenda. - Collaborate with other audit leads to share best practices and improve audit quality. - Foster a culture of training to enhance knowledge on covered domains and risk factors. Critical success factors for the Role: - At least 5-7 years of work experience in Internal Audit, preferably in the FMCG industry or other large global organizations. - Possession of a reputable accounting or business degree, such as Chartered Accountant (CA) or Master of Business Administration (MBA) from a leading business school. - Strong process audit capabilities across functions such as sales, marketing, supply chain, and finance. - Excellent communication skills for articulating complex concepts. - Commitment to professional development and staying abreast with changes in the market. Desirable success factors for the Role: - Awareness and knowledge about FMCG industry best practices across business process areas.,

You are a Senior Data Science Analyst with 3 to 8 years of experience, based in Chennai. Your primary responsibility will involve building complex risk and financial models. It is crucial for you to possess analytical thinking, problem-solving skills, and effective communication abilities to engage with stakeholders at all levels. Experience in developing credit risk models (PD, EAD, LGD) and working on model implementation is considered advantageous. Your track record of navigating complex business issues and aligning diverse perspectives will be highly valued in this role. You should have a background of 3 to 8 years in Risk & Marketing or financial services, coupled with a degree in Computer Science, Mathematics, or Statistics. Proficiency in Machine Learning, Data Science, and Risk Analytics concepts is essential. Additionally, a strong grasp of statistical and quantitative techniques, as well as proficiency in tools like SAS, R, Python, SQL, and Excel, will be beneficial for this position. This is a permanent role, and the updated date for this job posting is 25-06-2025. The Job ID is J_3789, and the location is in Chennai, Tamil Nadu, India.,

The role falls under the Risk Management job family at Citi, specifically in the field of Risk Analytics, Modeling, and Validation. Citi is committed to being an equal opportunity and affirmative action employer, encouraging all qualified individuals to explore career opportunities within the organization. If you are a person with a disability requiring assistance in using our search tools or applying for a position, please review the Accessibility at Citi guidelines for reasonable accommodation. For further information on equal employment opportunities, you can view the "EEO is the Law" poster, the EEO is the Law Supplement, and the EEO Policy Statement.,

Were seeking someone to join our team as a Director in Legal and Compliance Division. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firms management of legal, regulatory and franchise risk. This is a Director level position within LCD Data and Analytics job family. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What You&aposll Do In The Role Focus on execution of second line risk oversight framework activities to support identification, assessment, mitigation, and reporting of aggregate portfolio-level exposure and risks associated with the US Banks affiliated and non-affiliate third parties and sub-contractors. Participate and lead quarterly risk management activities including risk and control self-assessment (RCSA), priority risk reviews, concentration risk reporting, scenario analysis, production and analysis of risk metrics in support of risk identification. Execute Operational Risk activities within the Bank&aposs operational risk department (ORDs) framework to demonstrate oversight and challenge of vendor risk and visibility to level of governance and risk management within the Bank&aposs tolerance. Collaborate with first line and second line program colleagues in the execution of controls, risk metrics and reporting, as appropriate. Engage with senior colleagues in the broader Firm and US Banks Risk Division, and in the first line of defense including Firm Third Party Program Management, US Banks Vendor Management team, other business units and support functions, as appropriate. What You&aposll Bring To The Role An undergraduate degree (i.e., B.A., B.S., or equivalent) is required, ideally in an area related to risk management. Advanced degree holders are also encouraged to apply. 3-5 years' experience in the financial services industry within risk management; exposure to sourcing / procurement, vendor risk management is preferable. Logical and critical thinking, experience with risk analytics and reporting ability to analyze complex sets of data and convert to meaningful risk information and reporting. Strong risk analytics experience and problem-solving skills with the ability to effectively manage several tasks concurrently and work in a high pressure environment to meet deadlines. Program or project management skills with a focus on effectively communicating complex analytical concepts to senior management. Self-led with a demonstrated ability to collaborate globally across multiple functional areas while maintaining suitable independence and effective challenge. Ability to work on challenging assignments in a dynamic environment, carry out quantitative and qualitative data analysis, synthesize information, distill relevant facts, and reach logical conclusions Detail oriented mindset with strong organization skills with the ability to multitask and prioritize Team player with the ability to work under pressure and meet deadlines Proven ability to anticipate and identify risks and identify effective mitigation Proficiency in Microsoft Word, Excel, Access and PowerPoint Familiarity with visualization tools (e.g., Tableau) and vendor risk management tools (e.g., Archer, Process Unity, ServiceNow, etc.) is preferable. At least 4 years' relevant experience would generally be expected to find the skills required for this role Preferred Experience Familiarity with relevant Banking, Financial Holding Company and securities regulations Experience with Archer, iShield or other vendor data aggregation systems Affiliate or Third Party Risk Compliance / regulatory oversight What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what&aposs best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

The Model/Anlys/Valid Analyst II position is ideal for a developing professional who applies specialty area knowledge in monitoring, assessing, analyzing, and evaluating processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. In this role, you will also be expected to identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is important to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices as well as understand how your team interacts with others to accomplish objectives. Your role will have a limited but direct impact on the business through the quality of the tasks/services provided, with the impact restricted to your own team. Responsibilities include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types, leading projects in terms of model development, programming, integration, testing, and validation, providing analytical support on analysis and benchmarking, and preparing regular and ad-hoc reports. You will participate in projects aimed at continuously improving risk analytics, modeling and validation systems, and optimizing reports. Furthermore, you will work on improving the reporting system and optimizing Credit MIS Reports. It is crucial to appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation, and ensuring compliance with applicable laws, rules, and regulations. Key qualifications for this role include demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic knowledge of secured/unsecured banking products and US banking, good communication skills to convey technical information to both technical and non-technical audiences, proven analytical skills to identify root causes and trends, proficiency in Microsoft Office applications, and at least 2 years of experience in model implementation/validation/development. A Bachelors/University degree or equivalent experience is required. This is a full-time position within the Risk Management job family group, specifically in the Risk Analytics, Modeling, and Validation job family. Citi is an equal opportunity and affirmative action employer, welcoming all qualified interested applicants to apply for career opportunities. If you are a person with a disability and require a reasonable accommodation for using search tools or applying for a career opportunity, please review Accessibility at Citi.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the fastest-growing Non-Bank Financial Company (NBFC) lenders in the country. With verticals in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs, CS India's tech-enabled model and underwriting capability facilitate lending at scale, addressing India's significant credit gap, particularly in underserved and underpenetrated segments of the population. Committed to long-term growth and evolution in the Indian market, Credit Saison India caters to MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and boasting an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings, CS India currently operates through a branch network of 45 physical offices, servicing 1.2 million active loans, managing an AUM of over US$1.5 billion, and employing approximately 1,000 individuals. Part of Saison International, a global financial company dedicated to bringing people, partners, and technology together to create resilient and innovative financial solutions for positive impact, Credit Saison India aligns with Saison International's mission to be a transformative partner in enabling opportunities and fulfilling people's dreams. Roles & Responsibilities: - Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identifying delinquent segments, programs, locations, and profiles. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud, and collections. - Perform necessary analytics to identify trends within the Portfolio. - Provide analytical support for internal portfolio reviews and enhance the portfolio's quality. - Collaborate with the Product and Engineering teams to implement Risk strategies. - Work with the Data Science team to provide inputs on key model variables and optimize risk models" cut-offs. - Develop a deep understanding of various data sources (Traditional and alternate) for effective underwriting. - Demonstrate a good understanding of various unsecured credit products. - Analyze business problems and convert them into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a top-tier institution (IIT/IIIT/NIT/BITS). - 5+ years of experience in Data Science, Risk Analytics, or Risk Management, with expertise in building models, Risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and Probability distributions. - Proficiency in statistical and data mining techniques. - Experience with machine learning techniques such as decision tree learning. - Familiarity with working on both structured and unstructured data. - Preferred experience in Fintech, Retail, SME, LAP, or Secured lending domains.,