604 Risk Analytics Jobs - Page 22

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

Job Description Job Title Business Functional Analyst (Analytics) Corporate Title Vice President Location Pune, India Role Description ERM (Enterprise Risk Management) & MVRM (Market & Valuation Risk Management) IT group are part of Technology Data and Innovation and own and deliver on the RiskFinder platform to multiple stakeholders and sponsors. RiskFinder is the Bank s Risk & Capital Management platform. It provides capability to calculate capital metrics, performs risk scenario analysis and portfolio risk analytics and related control functions across the Bank s business lines. The system calculates over 600 billion scenarios per day on a high-performance compute grid, stores the results into a big data store and provides our end users the capability to aggregate, report and analyse the results. RiskFinder integrates distributed high performance grid compute and big data technologies to deliver the execution and analytics at very large scale required to process the volumes of scenarios within the timeframes required. The platform leverages in house quantitative analytics and inputs to our front office pricing models to deliver full revaluation-based capital metrics across a complex derivates portfolio. Our technology stack includes Java, C, C++, PostGres, OracleDB, Lua, Python, Scala, and Spark plus other off-the-shelf products like caching solutions integrated into one platform, which offers great opportunity for technical development and personal growth in a domain with focus on engineering and Agile delivery practices. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Develop a sound knowledge of the business requirements around market and credit risk calculations to be implemented in the strategic risk platform. Liaise with the key stakeholders to understand and document business requirements for the strategic risk platform Collaborate with business representatives, product leads to define optimal system solutions to meet business requirements Continuously improve data visualisation, dashboard and reporting capabilities Drive the breakdown and prioritization of the system deliverables across applications that make up the strategic risk analytical platform. Provide subject matter expertise to the development teams to convey business objectives of requirements and help make decisions on implementation specifics Your skills and experience Excellent business knowledge - esp. Market and Counterparty Risk processes and methodologies, Regulatory RWA calculations and reporting, Derivatives pricing and risk management Strong Business analysis and problem-solving skills. Effective communication and presentation skills Exposure to software development lifecycle methodologies (waterfall, Agile etc) Data analysis, use of databases and data modelling. Working Knowledge of SQL, python, Pyspark or any similar tools for data analysis/drill down capability is MUST. Prior experience of leading a team by example would be highly beneficial Experience in product management, building product backlog, understanding and executing roadmap How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients greatest ambitions. Value Preposition As a Technical Writer within our Business Intelligence & Risk Reporting team, you ll transform complex analytical dashboards, data pipelines, and reporting frameworks into clear, concise documentation. This role combines precision writing with analytical thinking to support regulatory compliance, internal risk oversight, strategic decision-making, and a strong controls environment. Youll also contribute to reporting automation and dashboard development work to support 2nd Line of Defense. Job Details Position Title: Lead Analyst - Business Intelligence & Risk Reporting Career Level: P3 Job Category: Manager Role Type: Hybrid Job Location: Bangalore About the Team: We are a team of skilled professionals with proven expertise in delivering analytical and reporting solutions that transform raw data into actionable insights. With 75% of our team from a risk analytics background and the rest equipped with advanced analytical skills like statistical modeling and machine learning, we ensure data and metrics are timely, traceable, and consistent to drive impactful decisions. Impact Your work will ensure our technical documentation and credit risk reporting meet internal governance and external audit standards (both of which translate into sustaining a strong controls environment). You ll make complex dashboards and processes understandable to both technical and non-technical audiences, improving transparency, audit readiness, and internal knowledge transfer. Your reporting and development efforts will enhance automation, driving insights from raw data, reduce manual effort, and drive better risk insights. Key Deliverables Create and Maintain Reporting Documentation: Develop detailed and clear user manuals, technical documents, help guides, and tutorials for our dashboard platform, ensuring it is accurate, up-to-date, and easy to understand for users with varying levels of technical knowledge. Internal Collaborate with Cross-functional Teams: Work closely with developers, risk managers to gather insights about the dashboards features, changes, and dataflows. Explain Complex Concepts: Break down technical concepts and features into simple, digestible content for end-users, including non-technical users. User Guides and Tutorials: Create step-by-step instructions and tutorials to assist users in performing tasks, such as using filters, generating reports, and understanding data visualizations. Documentation for New Features: Continuously update documentation with new features, bug fixes, and UI changes. Data Visualizations: Explain how data is presented in the dashboard, including charts, graphs, and tables, and provide clear instructions on interpreting these visualizations. User Feedback: Collect and incorporate user feedback to improve the documentations clarity and usefulness. Skills and Qualification Functional Skills: Graduate with 7+ years of experience in technical writing. Understanding of credit risk concepts. Exceptional written communication skills, especially in technical and user guide contexts Ability to interpret complex dashboards, data visualizations, SQL queries, and dataflows. Strong collaboration with risk managers, dashboard developers, data engineers, and auditors. Analytical mindset with an eye for both detail and big-picture context. Technical/Business Skills: Proficiency in documentation tools (Confluence, Word, Markdown, Git-based platforms, JIRA) Familiarity with data analysis and reporting tools (Excel, SQL, Tableau, Alteryx) Experience with version control (Git), data dictionaries. Basic understanding of data warehouses, Data marts, and ETL pipelines is a plus. Relationships & Collaboration Reports to: Senior Manager - Business Intelligence & Risk Reporting (India) Partners: Risk Managers, Risk Associates, developers, and cross-functional teams.

About this role Are you interested in building innovative technology that crafts the financial marketsDo you like working at the speed of a startup, and solving some of the world s most exciting challengesDo you want to work with, and learn from, hands-on leaders in technology and finance At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. Team Overview You will be working on BlackRocks investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a member of Aladdin Engineering, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 1-4 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications & own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue #EarlyCareers Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. 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. About 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.

JOB SUMMARY The individual will be responsible for governance for model delivery within SCMAC along with other functional aspects of the unit. Also provides thought leadership and acts as a subject matter expert to design and recommend solutions in addressing key issues within the business Understand AI risk , model governance and governance related to data Analytics process Understanding of data/feature selection practice and their effect on risks (e. g. , bias, explainability) and model development life cycle and validation Experience with data Analytics tool, programming knowledge to develop methodologies and validate the model & AI risk Experience in industry best practices of model risk management and AI fairness & explain ability, including model validation, reproducible, statistical & engineering process control, quality assurance, data shift for banking & analytics Review and validate the use cases based on the applicable standards and control defined for the Analytics process Define the check & controls required to adhere the AI risk, model governance and governance RESPONSIBILITIES Strategy The individual will be responsible for governance for model delivery within SCMAC along with other functional aspects of the unit. Also provides thought leadership and acts as a subject matter expert to design and recommend solutions in addressing key issues within the business Business Understand AI risk , model governance and governance related to data Analytics process Understanding of data/feature selection practice and their effect on risks (e. g. , bias, explainability) and model development life cycle and validation Experience with data Analytics tool, programming knowledge to develop methodologies and validate the model & AI risk Experience in industry best practices of model risk management and AI fairness & explain ability, including model validation, reproducible, statistical & engineering process control, quality assurance, data shift for banking & analytics Review and validate the use cases based on the applicable standards and control defined for the Analytics process Define the check & controls required to adhere the AI risk, model governance and governance Processes Continuously improve the operational efficiency and effectiveness of processes Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations People & Talent Collaborate with the team members on their work for better quality and accuracy Be able to work in agile fashion with other teams and support development /implementation of the solution Contribute towards training sessions for knowledge management Driving an environment of collaboration, both within CPBB Banking and across the wider Group, to ensure issues are raised and blockages are resolved in a timely manner Risk Management Interpret the Group s financial information, identify key issues based on this information and put in place appropriate controls and measures Ensure data security and data sharing in secured way through SharePoint in password protected files Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [WRB to achieve the outcomes set out in the Bank s Conduct Principles Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key Stakeholders Group/Region Analytics teams Group / Region/Country Product & Segment Teams Group / Region / Country Channels/distribution Group / Region / Country Risk Analytics Teams Group / Regional / Country Business Teams Support functions including Finance, Technology, Analytics Operation Other Responsibilities Embed Here for good and Group s brand and values in WRB; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats) Our Ideal Candidate Data Science Understanding of analytics lifecycle Project Management Skills Python Skills About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 16474

About Credit Saison India Established in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 2-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred About Credit Saison IndiaEstablished in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled p...

About Credit Saison India Established in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 5 -7 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred About Credit Saison IndiaEstablished in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled p...

About the Role Brinqa is looking for a Product Support Engineer to be part of a dynamic and fast moving customer support team to deliver quality resolutions to our customers. By working directly with our customers, our Product Support Engineers own all technical concerns regarding their deployments and will provide experienced support and troubleshooting skills to resolve complex technical issues, and proactively address any challenges that impact broader adoption of our products. We are looking for individuals who shine with little direction and move forward relying on their own knowledge and expertise as well as fellow team members. If you are looking to build your career with an exceptional team, be part of building something great, and making an impact, you may have found it here at Brinqa! WHAT YOU WILL DO You will work directly with our customers to own all technical concerns regarding their deployments and will provide experienced support and troubleshooting skills to resolve complex technical issues, and proactively address any challenges that impact broader adoption of Brinqa products. You will own and resolve issues with a high sense of urgency and professionalism. You will perform in-depth troubleshooting, be familiar with the customer environments ,and provide root cause analysis reports. You will be a problem solver. Demonstrated success as a highly creative, curious technologist and problem solver Multi-Tasker. Demonstrated ability to multitask, handle frequent interruptions, and prioritize a high volume workload with a high sense of urgency and accuracy. By handling high priority tickets, you will hop on calls right away with customers to identify root causes or establish immediate steps and communicate towards addressing the issues. Coordinating with internal teams as needed, identify issues and establish next steps to address the customer issues. You will prioritize high-profile and escalated cases and follow through to resolution. For optimal execution per Brinqa platform versions, you will write groovy/core java based script per customer requirements or re-write existing code. You will maintain excellent relationships with customers while maintaining impeccable case hygiene and customer related files and records. You will suggest and implement improvements to internal processes and tools. WHAT YOU'LL NEED Highly Technical. 4+ years of experience with Java, Security and networking. JSON experience is a plus..Working knowledge of Linux and Linux command-line. 3+ years of technical understanding and working knowledge of databases - SQL or Neo4j Basic understanding of 3-tier architecture. Good listening skills coupled with good written and verbal communication skills. Teamwork and collaboration skills. AND IDEALLY Experience working with Groovy and Grails Experience in Security and networking domain Knowledge of NoSQL databases, specifically Neo4j Familiarity with application deployment and AWS Software: Nginx, Apache Tomcat, IntelliJ IDEA, JIRA

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice: Immediate only..!! Key Skills: SAS, Advance SQL, Credit Risk Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk or fraud risk models using Python, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

The Sr. Mgr will be responsible for study-level risk analysis and reporting and will be key contributor to the clinical study team to support the oversight of the sites/countries/studies for compliance, patient safety, data quality and reliability. The Sr. Mgr role has accountability to evaluate, monitor, escalate and report risks to the AD Risk Management and Central Monitoring that could potentially have a broad significant and/or systemic impact on quality, compliance, and operational deliverables for discussion with the relevant Governance Committee. The Sr. Mgr forms a key partnership with the AD Risk Management and Central Monitoring, R&D Quality (Risk Governance and Operations), applicable GDO & TA functions. Duties/Responsibilities Sr. Mgr to lead or contribute to Protocol De-risking process, support identification of critical to success factors, critical to quality factors - including critical data, critical processes Collaborate with the Data Management Lead (DML), Statistician, Global Trial Manager (GTM), Quality Lead, Clinical Trial Physician, Clinical Scientist and other study team members to put together an initial proposal on KRIs (standard and study specific) and Quality Tolerance Limits (QTLs). Proposal to include information on critical data, data source, data flow, data review frequency, external data transfer frequency etc. Responsible to lead and collaborate with the study team in the development of specifications to set up the KRIs, Data Quality Assessments (DQA) and QTLs. Partners with the DML and other data review functions to determine the holistic data review strategy for the study and determines the function-specific review objectives/analytics. Documents the Central Monitoring data analysis responsibilities in the Integrated Data Review Plan. Responsible for regular risk monitoring at study level for priority studies and providing a holistic risk report at the agreed frequency. Ensure appropriate escalations of emerging risks (including QTL deviations) to the AD Risk Management and Central Monitoring to be discussed at relevant governance bodies (e.g Quality Council/Therapeutic Area leadership) and proactively shares knowledge and insights across the CORM group. Triages new and previously open signals in preparation for the Risk Review Meetings (RRM) to prioritize the signals for discussion and prepare a list of recommended actions Lead or contribute to the Risk Review discussion to determine if newly opened signals reveal potential risks and require follow-up investigation and if previously opened signals can be closed or need further investigation / monitoring / action. Relates the insights from the CM analysis back to the original risk discussions to share a compelling risk story . Drives ongoing risk discussions within the study team throughout the lifecycle of the trial and ensures the Integrated Risk Management Plan (IRMP) is updated and remains current Contribute to the development and maintenance of metrics that inform the evaluation of risk monitoring performance and effectiveness. Leadership or participation in initiatives / continuous improvement opportunities within the CORM and broader organizations Supports the strategic direction of Risk Based Management within the business to include leadership of RBM innovation, education and embedding Ensure effective quality oversight and management of external partners (e.g. Function Service Providers, CROs, technology providers, etc.) performing Risk Management or Central Monitoring activities on behalf of BMS Coach, mentor and develop new team members. Takes on additional responsibilities as directed by leadership Reporting Relationship This role will report to an Associate Director, Risk Management and Central Monitoring within the CORM organization. Qualifications A minimum of a bachelor s degree in one of the following disciplines or related field: Life Sciences (preferred); Analytics; Data Science; Statistics; Business; is required. At least 5 years in the pharmaceutical industry with a sound understanding of drug development and 3 years of experience in clinical trial operations and/or Good Clinical Practice is required. Demonstrated expertise in Risk-Based Monitoring principles (Quality by Design, Risk Assessment & Control) and relevant tools (e.g RACT, risk analytics platforms, Veeva and other quality systems) Technical expert in data analysis and interpretation using data visualizations to derive meaningful insights; and an ability to effectively tell the story of the data findings Ability to contribute to the development and implementation of data visualizations and analyses to support Risk Management / Central Monitoring business needs. In depth understanding of GCP, compliance and regulatory expectations. Experience of audits and health authority inspections, root cause analysis and CAPA is preferred. Advanced Leadership skills with an ability to influence and manage key internal stakeholders including at the Senior Leadership Level Excellent communication, collaboration and teamwork skills with an ability to drive cross-functional stakeholders to consensus. An ability to create a compelling story based on data insights which is meaningful to the target audience.

The Enterprise Risk & Compliance Lead is responsible for identifying, assessing, and mitigating financial and operational risks primarily within the Account to Report (ATR) cycle . This role involves designing and implementing financial controls , ensuring compliance with corporate policies and regulatory requirements, and driving continuous improvements in risk management and compliance processes. A key aspect of this role is fostering strong collaboration with both local and global teams, including: Local GCC-based teams (ATR tower operations, GCC ATR Process Lead) Global teams (Global ATR Process Lead, Global Financial Controllership, Global Internal Controls, and Audit teams) Additionally, the role includes supporting process and control improvement initiatives and projects , developing risk analytics, conducting compliance training, and overseeing the governance of Standard Operating Procedures (SOPs) for ATR processes. Key Responsibilities: 1. Risk Identification, Assessment & Mitigation Identify, assess, and mitigate financial and operational risks within the ATR cycle. Conduct risk assessments and implement appropriate risk mitigation strategies. Ensure compliance with corporate policies, IFRS, U.S. GAAP, and other regulatory requirements . Partner with internal stakeholders to improve risk management practices. 2. Financial Controls & Compliance Design, implement, and monitor financial controls Support internal financial controls walkthroughs, controls testing and remediation of control deficiencies Oversee compliance with Sarbanes-Oxley (SOX) requirements and internal control frameworks. Collaborate with internal and external auditors to support financial and operational audits. Lead initiatives to automate financial controls and improve control effectiveness. 3. Collaboration & Stakeholder Management Work closely with local GCC-based teams and global teams to ensure alignment on risk and compliance strategies. Provide strategic support to the Global ATR Process Lead, Global Financial Controllership, Internal Controls, and Audit teams . Act as a trusted advisor to business leaders on risk management best practices. 4. Process & Control Improvements Lead and support process and control enhancement projects , including controls automation. Develop and implement risk analytics tools to improve risk identification and monitoring. Identify and drive efficiency improvements within ATR processes. 5. Training & Governance Conduct regular control & compliance training for GCC-based teams to enhance risk awareness. Oversee governance and updates of Standard Operating Procedures (SOPs) for ATR processes. Foster a strong culture of risk awareness and compliance across the organization. Qualifications & Experience: Required: Bachelor s degree in Accounting, Finance, Risk Management, or a related field. CPA, CIA, CISA, or similar certification is highly desirable. 7+ years of experience in enterprise risk management, compliance, internal controls, audit, or finance, preferably within a multinational organization. Strong knowledge of financial processes , risk management principles, and internal control frameworks (e.g., SOX, COSO). Experience working with IFRS, U.S. GAAP, and regulatory compliance requirements . Proven ability to design and implement financial controls and drive compliance initiatives. Strong analytical, problem-solving, and risk assessment skills . Excellent stakeholder management and cross-functional collaboration skills. Good Knowledge of Accounting Platforms (SAP, Blackline, HFM) Strong communication and presentation skills. Flexibility to work in shifts & flexibility during critical periods; Preferred: Proven experience in the large MNCs, (FMCG industry preferred); Experience with controls automation and data analytics in risk management. Knowledge of GCC-based financial operations and regulatory environment . Experience with SAP GRC, Workiva, or Auditboard would be a plus. Key Competencies: Strategic Thinking: Ability to assess complex risks and design effective mitigation strategies. Detail-Oriented: Strong focus on accuracy and compliance.17:53 Problem-Solving: Ability to identify risks and develop innovative solutions. Collaboration & Leadership: Ability to work across multiple teams and influence stakeholders. Continuous Improvement: Passion for enhancing processes and controls through automation and best practices. Location(s) Ahmedabad - Venus Stratum GCC

Join us as a Manager in our Digital Risk Services team, where youll lead the way in tackling the most pressing technology risk challenges faced by our clients. Immerse yourself in cuttingedge fields like cybersecurity, artificial intelligence, and emerging digital risks. Your technical leadership will be instrumental in crafting innovative solutions and driving transformative projects. . Lead groundbreaking projects in digital risk, focusing on areas such as cybersecurity, AI, Cloud and SDLC, to devise forwardthinking assessment and mitigation strategies. Cultivate and maintain strong client relationships, becoming the trusted advisor for advanced digital risk management solutions. Collaborate with diverse technical teams to design, implement, and refine stateoftheart risk management frameworks using Agile, DevSecOps, and AI risk assessment protocols. Stay at the forefront of industry trends and emerging technologies to deliver profound insights and predictive risk analytics using AI/ML tools. Mentor and inspire your team, fostering an environment of technical brilliance, continuous learning, and innovation. Drive business growth by identifying new opportunities and developing detailed proposals that leverage the latest digital risk technologies. Good to have requirements As below Mandatory Skill Sets Minimum of 10 years in risk advisory with a focus on cybersecurity, AI, and digital risks. Proven track record in managing complex technical projects in a consulting setting. Expertise in regulatory frameworks and industry standards like ISO 27001, NIST, and GDPR. Outstanding technical communication and leadership skills, engaging effectively with senior stakeholders. Preferred Skill Sets AI, Cybersecurity

:" Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . A&R has a unique vantage point in the firm s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. ",

Have excellent communication skills to deal with business partners, team, and leaders. Prepare data summary analysis, internal trending reports, and presentations, as needed. Prepare Operational Risk Management reports or dashboards as required by leadership. Key Responsibilities Prepare data summary analysis, internal trending reports, and presentations, as needed, for consumption by Executive Level Leadership and cross-functional teams. Prepare Operational Risk Management dashboards as required by leadership. Liaise with leaders from different business lines for risk identification and report them through ORM route. Handle Operational Risk Management ad-hoc requests related to audit and other regulatory requirements. Required Qualifications Excellent written and spoken English skills. Ability to work independently, as well as collaborate and lead cross-functional teams. Candidates should have proficiency with Microsoft Excel, Power Point and Power BI. Preferred Qualifications Experience with MicroSoft Access. Self-Motivated; ability to deliver on competing priorities and multi-task. Any additional qualification or experience with SQL Any additional qualification or experience in Risk Analytics. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if youre talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (4:45p-1:15a) India Business Unit AWMPO AWMPS Presidents Office Job Family Group Business Support Operations

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleProduct Tagging Validation Specialist Corporate TitleAVP LocationMumbai, India Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role As Data Scientist in the credit risk strategy team, you will leverage your creative and critical thinking skills to develop best-in-class risk management strategies that have a meaningful impact on the client business. These strategies will support the client s credit and fraud risk, customer experience, marketing verticals and beyond. Having you aboard will enable us to stay aligned with market trends by improving the turnaround time for developing and implementing risk strategies, allowing for quicker iterations and broader coverage in addressing business challenges through scientific methods. The core KPIs for this position include additional revenue generated and costs saved from releases. This role also supports compliance, documentation, and knowledge sharing in risk strategies. What you'll do Develop, validate and deploy risk management strategies using a combination of sophisticated data analytics and domain expertise. Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations. Be ready to adapt to new tools/libraries/technologies/platforms. Actively partner with engineers to validate & deploy scalable solutions. Collaborate to gather insight from partners across the organization. Further develop expertise in data science and engineering through self-study, project exposure and guidance of senior team members. What you'll bring Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred. 3+ years of Data Science experience. 2+ years in financial services. Experience building and implementing risk strategies in production. Deep understanding of segmentation techniques such as decision trees. Experience in banking sector with exposure to risk management analytics. Proficient with Python. Proficient with SQL. Practical experience using Spark is a plus. Understanding of statistical modeling techniques is a plus. Technical understanding of algorithm complexity, probability & statistics. Self-driven with an aptitude for independent research & problem-solving. Ability to multi-task in a fast-paced environment is essential. Skills: algorithm complexity,ai/ml,computer science,data conversion,segmentation techniques,spark,risk analytics,data analytics,validate data integrity,statistical modeling,mathematics,python,documentation,sql,statistical modeling techniques,data enrichment,engineering,data science,ad hoc analysis,risk management strategies,decision trees,statistics,fraud risk,credit risk strategy,probability,economics,ai,building and implementing risk strategies,nlp,ml Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Bengaluru, Delhi,Mumbai, India

**** CANDIDATES FROM TIER-1 INSITITUES(IIT, IIIT, NIT/BITS) ONLY MAY APPLY**** Role - Risk Analyst/Sr.Risk Analyst Location- Bengaluru Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications : Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 1-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred Interested, share your CVs on nahida.banu@neweraindia.com

Forecasting macroeconomic/climate risk scenarios using quantitative techniques and analytical tools. Lead the development of structural economic or transition risk models and quantitative analysis tools. Address technically challenging regulatory and senior HSBC stakeholder s requests including macroeconomic challenges using advanced quantitative techniques. Responsible for end-to-end execution of the process ie identifying issues, proposing solutions, implementation & production. Managing macroeconomic & market data for several economies & support projection activities for key countries. Attention to details and ability to make independent judgments that support decision making for senior management. Ensure personal integrity and adherence to established HSBC policy on conduct, compliance, and ISr Builds trust of partners (onshore and offshore), juniors and seniors alike by demonstrating HSBC values & practices. Able to build strong relationships with finance and business teams. Actively manage team s workload ensuring that prioritization of activities. Coaching and technical support to junior team members on a need basis. Understand team members training needs and take initiative to follow through their development plan in conjunction with line manager. Requirements 5+ years experience in the financial service industry which includes experience in stress testing or macro-economic scenario designing. Preferred experience with global banks, regulators and consulting relevant roles. Strong understanding of macroeconomics, transition risk variables and its fundamentals. Understanding of Regulatory Capital and Climate stress test and related regulatory frameworks. Post-graduate degree with relevant field (Economics/ Statistics). Experience in analysing and designing models to capture relationships between Global macro economy, market and transition risk variables. Strong written and verbal communication skills eg PowerPoint presentations to summaries and communicate analytical outcomes. Ability to manage multiple, ad-hoc requests, meet quick turnaround times, and manage stakeholder expectations. Experience in Climate risk analytics and transition risk modelling. Excellent coding skills in latest statistical packages/apps SAS/R/Python. Interpersonal skills and proven ability to work we'll in a team, be cooperative and open, and embrace diversity. Good knowledge of regulatory requirements as we'll as financial accounting in the Banking Industry. Certifications such as FRM and/or SCR or other professional qualifications.

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in

Ensure regular filed visit to customer sourced by the branches Raise incident reports on the field visit done Ensure member Audit ,Center audit & Center meeting audit. Retail customer audit & risk property assessment Regular Branch visit to be done Resolution of gaps discrepancies identified as part of risk activity (Policy & process deviations) Identify the process & policy Gaps and ensure the same are plugged to avoid such incident dont repeat in future. Loan disbursement audit & cash audit FRO activity sheet to be followed regularly Regularly field visit to be done for risk identification. Skills Skill Risk & Quality Risk Analytics Highest Education B.Sc Working Language Marathi Hindi English

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: Financial services experience, in lending, underwriting, servicing. Excellent understanding of Capital markets focusing on counterparty credit risk, CCAR and stress testing. Experience in programming languages such as SAS, SQL, Teradata. Knowledge and understanding of databases and data mining techniques Ability to articulate complex concepts in a clear manner Ability to interact with all levels of an organization and collaborate to build successful relationships Ability to be flexible and adjust plans quickly to meet changing business needs Strong organizational, multi-tasking, and prioritizing skills Ability to take initiative and work independently with minimal supervision in a structured environment Exposure to Wells Fargo origination, servicing and reporting platforms such as MSP, SHAW, and AFS. Exposure to Wealth Management systems Cattalos, STOC, ClientLink, and Optimist. Support the WIM CRO Credit Risk team with risk analytics activities across consumer, mortgage, and custom credit/commercial products. Leverage innovative tools to collect, analyze, and interpret large amounts of data across multiple data environments Identify trends and patterns to inform sound business decisions. Effectively utilize analytical tools to create visualizations and share insights. Learn about many aspects of WIM business through partnerships with various groups including credit policy, underwriting, and servicing. Combine technical skills with business skills to help support the team with end-to-end quality assurance initiatives. Provide quantitative support of credit policy through analysis and impact assessment of prospective quality assurance findings. Develop recurring reporting and ad hoc analysis packages to monitor various product sets across WIM for management.

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, 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 I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 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: Master's 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 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s 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

Geo Risk Intel Investigation Ops JDs: Summary: We want to hire specialists to support investigations with additional HC to come onboard in 2024. Locations should be in HYD with WFO as a mandatory requirement. At a high-level we are looking for candidates demonstrating the ability to independently conduct investigative work using commonly available tools, with strong domain expertise. They should possess strong critical thinking mindset , investigative skills as well as exceptional report writing skills to report the findings accurately and efficiently Roles and Responsibilities Conduct independent research based on direction provided by PgM and the project team to identify modus operandi, bad actor archetypes and abuse vectors/TTPs Provide key insights reports on abuse trends based on Independent assessment of abuse trends Specific research methodology prescribed as a part of project plan Regularly report on progress in OSINT investigations and provide feedback candidly Identify novel abuse trends through research and analysis General Qualifications Minimum qualification of graduation from a government recognized university Minimum tenure of 36+ months working as a abuse / fraud/crime investigator or investigative analyst Excellent written and verbal communication skills Critical thinking ability to conduct independent investigative work Ability to solve problems using a data driven approach Ability to maintain composure in challenging situations Proven ability to work with sensitive information and to follow procedure when operating in a sensitive space. Profile - CyberCrime Investigations Background Must have skills Past experience in investigating abuse / financial crimes Experience in fraud analytics Very strong written communication skills Proven track record or writing reports consumed at executive level (structured writing and report building) Good to have skills Data driven approach to answering questions Past experience conducting open source intelligence research Highly proficient in using tools commonly available online for research Skilled at synthesizing information from various sources and determining the key takeaways Past experience in OSINT / Abuse Investigative tools Past experience using corporate registries / reviewing public databases to identify individuals / companies behind an activity Past experience synthesizing open source intelligence research Location Only WFO and in line with the overall Service Delivery Strategy HYD

We are seeking self-motivated and analytically driven professionals to join our Risk Analytics team. The ideal candidate to have a strong background in Credit Risk or Portfolio Risk Management , with the ability to derive actionable insights through robust data analysis. You will work closely with cross-functional teams and contribute toward maintaining and improving portfolio quality across lending products. Key Responsibilities Develop insights and recommendations to support business decisions and risk mitigation strategies Contribute to Expected Credit Loss (ECL) modeling, loss forecasting, and stress testing exercises Evaluate Early Warning Signal (EWS) frameworks using internal and external data sources as well as developing & deploying new models Collaborate with Credit, Product, and Business teams to drive risk-based strategies Participate in portfolio performance reviews and highlight emerging risk trends Required Skills & Competencies Experience in portfolio risk assessment, especially in Retail and/or SME lending Strong analytical skills with an eye for detail and a problem-solving mindset Proficiency in Python for data analysis and model development Advanced Excel user able to work with pivot tables, lookups, and automation Self-starter with the ability to work independently as well as in a team environment Familiarity with credit appraisal processes and risk assessment methodologies is an added advantage Educational Qualifications CA / MBA / B.Tech / Postgraduate degree in Statistics, Economics, or related quantitative field Experience 1-2 years of experience in the lending business of a Bank or NBFC Preferably worked in Credit Risk / Portfolio Monitoring / Risk Analytics functions