211 Risk Analytics Jobs - Page 9

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