604 Risk Analytics Jobs - Page 4

To maintain Accuracy/Quality as per the standards agreed by the Business Unit for all SAFR reviews To manage workload/ volumes and delivery expectations as per business requirement To develop a sound understanding of the business process the reviews are conducted for. To maintain and update the centralized inbox and tracking database regularly To maintain detailed records of communication with all parties, including changes being made on the Extreme focus on quality with the understanding of the financial/legal implications To draw Leadership attention to anomalies within the process Active participation in all interactions (Team huddles, stakeholder discussions, etc.) To work within the regulatory requirements as needed within the organization Top 5 Competencies Focusing on Clients Working in Teams Driving Excellence Influencing Stakeholders Adapting to Change Qualifications Qualifications: Graduate/Postgraduate

Collect, clean, and analyze collections and delinquency data. Develop and maintain dashboards, reports, and visualizations to track collection performance metrics. Identify trends, anomalies, and correlations within collection data to provide actionable insights. Conduct root cause analysis to understand factors impacting delinquency rates and recovery efforts. Support the development of data-driven strategies for portfolio management and collections optimization. Collaborate with the operations team to deeply understand the collections process and have the ability to influence the ops. Monitor key performance indicators (KPIs) such as delinquency rates, recovery rates, and aging metrics. Provide monthly, quarterly, and ad hoc reporting on portfolio health and collection effectiveness. Ensure data accuracy, consistency, and integrity across all analyses. Stay updated on industry best practices and leverage advanced analytical tools and techniques Qualifications Bachelors /Masters degree in Engineering, statistics, operations research, Finance, Accounting, Economics, Data Science, or a related field 7+ years of experience in credit risk analytics Proven experience in data analysis, preferably within collections, credit risk, or financial services. Strong proficiency in analytics tools - Excel, SQL, Python, Tableau, or Power BI. Excellent analytical, problem-solving, and critical-thinking skills. Ability to interpret complex data and communicate insights effectively. Knowledge of unsecured lending products and collections processes Attention to detail and high level of accuracy. Excellent written and verbal communication skills, including stakeholder and committee presentations

Principal Duties/Responsibilities Continued development of own financial and analytical understanding Maintain relevant qualifications required for the role Keep abreast of insurance industry and worldwide economic developments Any other duties commensurate with position or level of responsibilityDesired Profile: Candidate is required to have 0-2 years prior experience in a role relating to financial research/investment research/sector analysis/credit ratings Prior experience in insurance sector would be an added advantage Good understanding of accounts Analytical mind with the ability to draw conclusions from a wide range of data Proficient with MS Office and PDF editor applications Excellent written and oral communication skill

This role is pivotal in conducting rate of return calculations, return attribution, and risk analytics, aiding clients in understanding portfolio returns and evaluating our product strategies. The ideal candidate will have a strong grasp of performance metrics, be organized, and collaborate effectively across teams, offering insights to leadership. JPMorgan Asset & Wealth Management delivers premier investment solutions across all asset classes, with the Portfolio Analysis Group specializing in performance measurement and analytics for valuable client insights. As a Team Lead in the Portfolio Analysis Group within Asset Management, you will play a crucial role in providing performance measurement and attribution analysis. You will collaborate with various teams to enhance systems and technology, ensuring high-quality client service and accurate performance reporting. This position offers the opportunity to promote improvements and contribute to the development of industry-leading performance and attribution systems.. Job Responsibilities Provide the best client service experience by understanding our client s needs and developing relationships across the organization, specifically with Client Advisors, Portfolio Managers, Middle Office, Client Reporting, RFP teams and others Become a key contributor to the department s efforts of improving systems and technology, by actively participating in projects, requirement gathering and testing of software and system tools Maintain high standards of quality control checks and procedures; participate, develop and Preview controls for key business projects and business changes; be a driver of improvements Calculate performance returns and performance attribution across product range, ensuring accuracy and timely delivery Overseeing a broad spectrum of performance measurement & attribution calculations and creating reporting across several regional offices Analyze performance and attribution reports, and effectively communicate results to senior management, client portfolio managers and portfolio managers Be a driver of the development and implementation of the performance and attribution systems with best industry practices Monitoring data quality and performing compares between computations from different sources (e.g. internal vs external) Interpreting results and producing attribution commentary for a range of portfolio strategies/mandates (long and short duration, emerging markets, high yield, etc.) including determining sources of alpha and identifying the factors responsible for these results Providing regular and bespoke risk and return analysis to portfolio managers and investment specialists Required qualifications, capabilities and skills Bachelor s degree in Finance, Economics, Mathematics or Computer Science (or similar discipline) from an accredited, high quality institution Knowledge of portfolio accounting principles, and performance and attribution methodologies Solid analytical ability to research and analyze complex data sets Passion for the investments business and financial markets Strong quantitative skills, comfortable with formulas, performance measurement methodology and risk measures Thorough understanding of ex-post risk concepts and methodologies Preferred qualifications, capabilities and skills CIPM/CFA or progress toward designation a plus Experienced performance measurement professional with 5+ years of relevant experience including project experience and knowledge of GIPS Understanding of the various businesses/products within the Asset management & Wealth management space Some working knowledge of securities operations, trade processing, mainframe accounting systems and performance system architecture a plus

FS XSector Specialism Risk Management Level Associate & Summary At PwC, our people in forensic services focus on identifying and preventing fraudulent activities, conducting investigations, and maintaining compliance with regulatory requirements. Individuals in this field play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices. In fraud, investigations and regulatory enforcement at PwC, you will focus on identifying and preventing fraudulent activities, conducting investigations, and confirming compliance with regulatory requirements. You will play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Assist in conducting Fraud and Misconduct Investigations at variety of locations and across a wide range of industries; Discuss investigative findings with Team Lead/ Manager and others concerned. Responsibilities Assist in conducting Fraud and Misconduct Investigations at variety of locations and across a wide range of industries; Discuss investigative findings with Team Lead/ Manager and others concerned. Assist in drafting clear, concise and extremely robust reports within tight timelines. Work with clients, fraud examiners, internal & statutory auditors, attorneys, lawyers and law enforcement agencies in critical, challenging and highly sensitive assignments; Assist teams from other business units in investigating certain likely fraud alerts/ triggers; Initiate Risk Analytics for Fraud Detection & find solutions that best meet clients needs and develop forensic methodologies and forensic strategies for even the most difficult circumstances Identify key potential legal and regulatory compliance issues and provide an objective review of organization s fraud risk management framework. Use advanced tools and business intelligence techniques in proactive identification of likely issues and events; Maintaining client confidential data and processing it within the confines of PwC policy regarding data protection and confidentiality. Initiate risk analytics for fraud detection and find solutions that best meet clients needs and develop Forensic methodologies and strategies Assist in drafting clear, concise & extremely robust reports within tight timelines Utilize proprietary forensic tools, forensic methodologies and forensic technology that include data mining and mapping, electronic discovery and computer forensic capabilities Assist the seniors in conducting various proactive marketing efforts and sales pitch. Skills Required Technical Chartered Accountant Preferrable Certified Fraud Examiner would be an additional advantage Expertise in detecting and investigating frauds and maintaining corroborative evidence. Prior experience of audit or investigative work (including project management), interview techniques Prior experience in use of CAATs and data analytics. Expertise in accounting and auditing matters and sound knowledge and understanding of internal control concepts and application. Working knowledge of applicable criminal and civil laws would be an added advantage. The maturity and authority necessary to deal with senior management and sensitive issues. Good team player and willingness to meet and interact with people from diverse background and skill sets; Willingness to travel at short notice. Self confident and self motivated Good communication skills, verbally and in writing, with the ability to explain complex transactions in a clear and concise manner. Mandatory skill sets Investigation & Dispute Preferred skill sets CAATs and data analytics Years of experience required Fresher Education qualification CA Education Degrees/Field of Study required Chartered Accountant Diploma Degrees/Field of Study preferred Required Skills Dispute Management, Investigation Accepting Feedback, Accepting Feedback, Active Listening, Communication, Compliance Oversight, Compliance Risk Assessment, Corporate Governance, Cybersecurity, Data Analytics, Debt Restructuring, Emotional Regulation, Empathy, Evidence Gathering, Financial Crime Compliance, Financial Crime Investigation, Financial Crime Prevention, Financial Record Keeping, Financial Transactions, Forensic Accounting, Forensic Investigation, Fraud Detection, Fraud Investigation, Fraud Prevention, Inclusion, Intellectual Curiosity {+ 7 more} No

This website uses cookies to ensure you get the best experience. 4most and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies Credit Risk Consultant - Bengaluru Take on challenging roles in credit risk advisory and work with leading financial institutions Working at 4most We are not your typical consultancy firm; our purpose is to redefine consulting by enabling all our people to flourish and excel. We have over 250 consultants working in credit risk, data, market risk, life insurance and general insurance, across multiple sites London, Leeds, Edinburgh, Dublin, Amsterdam, Dubai and Bengaluru. We value every individual s contribution to the success of the company with colleagues owning a significant share of the business, and we have ambitious plans to grow even further. As experts in our field, we are passionate about what we do and embrace diversity; we ve created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it s the unique value you bring to the community. We want our people to think differently and challenge the status quo. Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Women in Credit Employer of the Year for 2023 and Best Management Consultancy Firm MEA Finance UAE 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute. Your future team Credit Risk Consultants at 4most support many clients in the UK, Europe, and the Middle East. We help our clients solve their analytical challenges ranging from portfolio management, decision science and regulatory modelling under IFRS 9 and IRB. We have ambitious growth targets and the team is expanding as demand for our expertise grows. What youll do You will work with other Consultants, project leads and business heads supporting our global clients from Tier 1 banks through to Fintech challenger banks and startups. You will work on tasks with the support from your project or workstream lead and share the results of your work with clients. Developing credit risk models, used for regulatory and business purposes with particular focus on IRB and IFRS9. Validating and challenging these models on areas such as model design, model performance and model implementation. Stress testing exercises, ranging from operational execution to model development and validation. Processing large credit risk datasets and assessing or improving data quality. Integration of ESG across data, models (IRB, IFRS 9, stress testing) and risk processes. Interpretation and implementation of regulatory requirements and supervisory expectations. Remediation of supervisory findings (ECB/DNB). Presenting and discussing results with senior management. Ad-hoc assistance on business development activities, e.g. client events / roundtables, client meetings, workshops, pitching, drafting proposals and creating marketing material. Your background 2-4 years experience in analytics or data science within Financial Services. Experience in Corporate Model Development or Validation. You are experienced with data wrangling and analysing data using Python, SAS, SQL or R. Hands on experience working of Probability of Default (PD) / Loss Given Default (LGD) / Exposure at Default (EAD) / Internal Ratings Based (IRB) / Stress Testing. Knowledge of Credit Risk & Financial Services Regulation such as IFRS 9, IRB, Basel III. You are a strong communicator both verbally and written, with the ability able to break down complex topics into simple solutions and ideas. Knowledge of PRA and EBA regulations advantageous. Experience in Data and Modelling MI / reporting advantageous. Benefits Salary dependant on experience plus: 33 days holiday (including national and public holidays), Discretionary bonus, 50% sponsorship towards relevant courses, Private health insurance, Life Assurance, Employees provident fund. 4most is a global specialist risk analytics consultancy employing about 300 people spread across the UK, UAE, Ireland, India, and the Netherlands. Already working at 4most Let s recruit together and find your next colleague.

This website uses cookies to ensure you get the best experience. 4most and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies Credit Risk Analyst - Bengaluru Take on challenging roles in credit risk advisory and work with leading financial institutions Working at 4most We are not your typical consultancy firm; our purpose is to redefine consulting by enabling all our people to flourish and excel. We have over 250 consultants working in credit risk, data, market risk, life insurance and general insurance, across multiple sites London, Leeds, Edinburgh, Dublin, Amsterdam, Dubai and Bengaluru. We value every individual s contribution to the success of the company with colleagues owning a significant share of the business, and we have ambitious plans to grow even further. As experts in our field, we are passionate about what we do and embrace diversity; we ve created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it s the unique value you bring to the community. We want our people to think differently and challenge the status quo. Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Women in Credit Employer of the Year for 2023 and Best Management Consultancy Firm MEA Finance UAE 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute. Role summary A Credit Risk Analyst at 4most is expected to function as a full-time consultant, this includes being placed on projects for external clients and supporting the business by organising and delivering internal work. To bridge the gap to consulting life we ensure that we provide additional training and support. An experienced 4most consultant will lead and oversee each project and manage the day-to-day activity and delivery. Projects vary in content, client, location, and size, this provides our graduates with a dynamic learning environment that can give great exposure to different areas of Credit Risk. Our analysts gain experience and knowledge by working as part of a coordinated and resourceful team and taking part in tailored training. This allows all our consultants to drive their own development. Key Responsibilities Work effectively both on your own and as part of a team and complete project work accurately and to a high standard. Take responsibility for your own deliveries within the scope and deadlines set. Work with areas of the business to identify opportunities for increasing value through the application of analysis and modelling techniques. Present and discuss results with stakeholders and peers. Proactively identify areas for improving team capability and new business. Undertake internal initiatives as required and get involved in other areas of internal 4most processes where possible. Engage in activities to encourage personal development and work on skills and abilities. Ensure all data is managed securely, maintained appropriately, and analysed correctly in line with Data Protection legislation and industry regulation. Work within the company Health and Safety policy. Expectations and Requirements: A Credit Risk Analyst should be: Analytical Our roles require a great deal of problem-solving and so we need to be able to think of solutions given the resources and data that we have. Organised Our purpose is to deliver bespoke solutions to our clients so these should be structured in a clear and methodical way. Flexible Client satisfaction is crucial. We should adapt to our clients needs and this may require a change in our method, implementation or even structure. Decisive A consultant gives expert advice within a technical or professional field and so we must be able to make clear and informed choices. Supportive 4most benefits from having a variety of individuals but we must collaborate effectively to reach our goals, therefore, we expect 4mosters to be inclusive, compassionate, and helpful. Honest We do not always know the answer, but we will find it! We expect consultants to be transparent in their approach and demonstrate integrity. Enthusiastic A strong passion for finding smart and valuable solutions whilst working collaboratively with peers ensures that we can deliver high quality products to our clients. Self-motivated We are always striving to improve and so it is important that you are keen to develop both yourself and 4most alike. Willing to travel on an as needed basis The role will require travel to London for initial training and may require some additional overseas trips. Knowledge and Understanding Required (Competencies) Academic As our solutions require a strong base of analysis, we ask for candidates to apply with a discipline grounded with quantitative aspects and strong statistical content. Experience Our analysts are given responsibility to operate as a consultant and so we try to look for candidates with some relevant work experience. The type of experience we seek is for a minimum of 6 months which demonstrates how you have applied your academic knowledge in a practical environment, such as a placement year or experience in Financial Services being the most desired. Coding Experience The solutions we build will mostly require use of analysis packages and so experience and demonstration of a coding ability is crucial. We look for SAS or SQL, but we acknowledge both R and Python as foundation coding experience too. Analysis Demonstration of manipulating and analysing large datasets with customer information. Strong Communication Skills Communication is key! We will need to interact internally and to external stakeholders both verbally and written so to bring results and recommendations to life. We seek prominent influencing and interpersonal skills. Excellent attention to detail. Interest/Knowledge of the regulatory environment that impacts credit risk activities and our clients. Passionate about the business impact of our solutions, driven by continuous improvement. Benefits Salary dependant on experience plus: 33 days holiday (including national and public holidays), Discretionary bonus, 50% sponsorship towards relevant courses, Private health insurance, Life Assurance, Employees provident fund. 4most is a global specialist risk analytics consultancy employing about 300 people spread across the UK, UAE, Ireland, India, and the Netherlands. Already working at 4most Let s recruit together and find your next colleague.

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

Well look to you for: Supporting CMMS Interface technical and business needs in coordination with various internal and external stakeholders Collaborating with platform CMMS teams, Project CMMS teams, and others for design, development, and training of Interfaces Coordinating support for interfaces developed with platform CMMS teams, warranty or service teams, and subsystem teams Proposing and managing innovative solutions around CMMS Interface topics through the R&D process Ensuring adherence to best practices and contributing to the knowledge base Engaging in continuous learning and applying insights to improve CMMS integration All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Engineering, or a related field Experience or understanding of project management in technology or engineering contexts Knowledge of CMMS systems and integration principles Familiarity with cross-functional team collaboration A PMP or equivalent certification would be advantageous Strong problem-solving and analytical skills Excellent communication and interpersonal skills

As a Data Quality Engineering Lead (Global Markets) in the Markets Division of a leading global bank, you will be responsible for ensuring the accuracy, consistency, and reliability of data across various systems used in trading, risk management, regulatory reporting, and financial analytics on a global scale. Your expertise in capital markets, trading systems, risk analytics, and regulatory compliance will be crucial in establishing enterprise-wide data quality frameworks that enhance trading operations, support risk mitigation, and ensure compliance with regional and global financial regulations. Working with cross-functional teams across multiple geographies, including APAC, EMEA, and NAM, you will play a key role in developing and enforcing global data quality frameworks for front-office, middle-office, and back-office systems supporting multi-asset class trading. Your responsibilities will also include ensuring data integrity across global trading platforms, pricing models, risk engines, and regulatory compliance systems, as well as implementing automated data validation for real-time market data, trade transactions, and post-trade analytics. Collaboration with trading desks, quants, risk, and compliance teams across different time zones will be essential in resolving data anomalies and embedding data quality checks in CI/CD pipelines for front-office trading applications. Additionally, you will define and monitor key data quality metrics across global financial systems, establish data lineage and governance frameworks for regulatory reporting, and ensure compliance with global and regional regulatory frameworks such as Basel III, MiFID II, Dodd-Frank Act, and more. Your role will also involve leading initiatives on AI/ML-based data anomaly detection, providing thought leadership in data observability, automated testing, and cloud-based data quality solutions. With over 10 years of experience in Data Quality Engineering, Data Governance, or Data Testing within a global banking or capital markets environment, you will bring strong domain knowledge of global markets trading infrastructure, multi-asset classes, financial risk modeling, and technical expertise in data quality tools, SQL, Python, big data platforms, and cloud services. In this position, you will have the opportunity to work at a global scale, collaborate with teams across different regions, lead data quality initiatives that drive regulatory compliance and market efficiency, engage with cutting-edge trading technology, and shape the future of data governance in a high-frequency trading and real-time analytics environment. Join us to make a significant impact on the bank's ability to manage financial risk, optimize trading strategies, and meet regulatory requirements in the dynamic world of global capital markets.,

As the Lead Risk at the company, you will be responsible for various key tasks related to risk management. Your primary duties will include preparing the credit and risk policy framework, ensuring compliance with statutory norms, conducting risk analytics, and managing regulatory and audit compliance. You will also be expected to present monthly risk updates to the Risk Oversight Committee. Your role will involve designing policies, procedures, and processes to mitigate risks associated with the company's operations and product offerings. You will need to monitor the portfolio across various products at both macro and micro levels, reporting to top management and identifying exceptions. Establishing robust monitoring mechanisms such as Early Warning Signals and Risk Containment units will be essential. Timely and accurate reporting of information to relevant stakeholders, including top management, regulators, and rating agencies, will be a critical part of your responsibilities. You will need to identify known and emerging risks, measure, monitor, and report on the company's risk profile to the Executive Leadership Team. Evaluating finance proposals using risk analytics and key policy-making will also fall under your purview. Collaboration with business teams to ensure proper formulation, fitment, structuring, pricing, and execution of transactions based on client requirements and regulatory frameworks will be necessary. Staying informed about regulatory and economic developments in the sector and spreading knowledge within the organization systematically will be crucial. Finally, as the Lead Risk, you will be accountable for finalizing policies and establishing processes for quality underwriting. Your role will involve setting up a system for sourcing transactions aligned with the company's credit lending philosophy and ensuring adherence to regulatory standards throughout the lending process.,

Deliver/ Manage KPIs and metrics in line with the prescribed targets Prioritize and organize work according to business priorities. Develop an in depth understanding of the technical aspects of the process. Driving process improvements within team for improved efficiency, client experience or better risk controls Periodic review of process risks and ensuring adequate controls are in place. Meeting with stakeholders to discuss process related challenges and opportunities Work with relevant stakeholders for effectively resolving escalations. Leading projects / tasks E2E in coordination with onshore stakeholders Resource Planning: Forecasting and planning of resource requirements Manage resources efficiently through peaks and troughs in the business cycle. Ensure contingency planning is in place for critical resources People Management / Development: Setting appropriate goals & expectations for the team and conducting regular progress reviews. Work closely with individuals and groom them to their full potential. Assessing and developing competency levels to make sure team members have the expertise needed to add value to the business. Proactive identification of performance issues. Creating action plan and coaching them to improve performance. Conduct 1-1 and team meetings in line with Operational Engagement Framework. Managing attrition and absenteeism in the team.

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Your way to impact You will own & execute fraud prevention strategies for our global merchant lending products You will utilize large, complex datasets to make data-driven decisions and answer business questions In your day-to-day role, you will Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products Identify opportunities and gaps within current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions What you need to bring Bachelor s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline 5+ years proven credit or fraud risk analytics experience or equivalent Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Aptitude and willingness to roll-up the sleeves and get involved in the details Must have good business judgment with demonstrated ability to think creatively and strategically Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones Proficient in Python, R, SQL Proficient in Excel, Powerpoint & Word

Review and analyze Functional specifications and requirements. Develop detailed, comprehensive, and well-structured test plans and test cases. Execute manual test cases and report results. Identify, record, and document thoroughly any bugs or issues. Perform regression/Smoke/Sanity testing when bugs are resolved. Collaborate with cross-functional teams to ensure quality throughout the software development lifecycle. Provide feedback on usability and suggest improvements. Maintain documentation of test results and procedures. Requirements: Proven experience as a QA tester or similar role. Familiarity with Agile frameworks and regression testing. Ability to document and troubleshoot errors. Working knowledge of test management software (e.g., JIRA, qTest etc..). Excellent communication skills. Attention to detail and analytical mind. Should be strong in analysing the requirement for given feature and ask appropriate questions/queries. Nice to Have: Experience with API testing using tools like Postman. Experience with BFSI /Pension Domain. Basic understanding of SQL and databases. Exposure to automation tools (even if not hands-on). Should have leadership skills

Analyzing data sets and designing and coding stable and scalable data pipelined also integrating into existing data pipelines. Ensure timely delivery of systems that meet functional requirements by performing comprehensive unit testing. Implement processes and tools to ensure data quality and reliability. Review, refactor, and debug code to identify and resolve defects, improve performance, and address technical debt. Provide technical support and troubleshooting assistance for developed systems, ensuring smooth operation and issue resolution. Collaborate with clients and stakeholders to understand business requirements and align technical solutions to meet their needs. Qualifications Graduate with Engineering and IT specialization

About The Role Strong understanding of Market Risk Concepts with in-depth knowledge of Risk Sensitivities/Greeks . Experience working in Investment, Corporate Banking especially in the Risk Management domain with strong understanding of products as Derivatives, Fixed Income, Equities, FX, etc. Hands on experience in writing SQL queries for data extraction and analysis, proficiency in Excel as a tool for data analysis Proven capability to liaise with Risk Managers, gather and document requirements and work closely with Developments teams to implement the same Strong problem solving and analytical skills with excellent Communication and Stakeholder Management skills Good to have skills FRTB knowledge, Python skills, certifications like FRM/CQF

Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm s risk profile allowing them to take actionable and timely risk management decisions. 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.

As a Risk Management Policy Lead, you will play a crucial role in designing, implementing, and overseeing risk management policies for the organization. Your responsibilities will include leading the formulation, review, and periodic updates of policies and risk guidelines to ensure alignment with regulatory requirements, market trends, and internal risk appetite. You will collaborate closely with audit and compliance teams to ensure adherence to regulatory guidelines and standardize risk assessment procedures across products and business lines. Additionally, you will analyze portfolio risk trends, coordinate with analytics for management dashboards, and support the implementation of risk assessment and monitoring tools. Your expertise in RBI NBFC regulations, strong communication skills, and proficiency in tools like MS Office, data analytics, and risk management platforms will be essential for success in this role. With 3-7 years of experience in Risk Management or Policy roles in NBFC/Banks, a background in finance or related fields, and a salary bracket of 10-12 lacs, you will be a valuable asset in driving policy formulation, regulatory compliance, and risk management practices within the organization.,

A successful Data Scientist in Fraud & Credit Risk - Decision Science at Fiserv plays a pivotal role in the Global Business Solutions (Merchant business) team. The main responsibilities include developing and deploying predictive ML models to automate risk controls, reduce fraud and credit risk losses, and drive top-line growth. The efforts of the Data Scientist generate insightful analytics, build models/rules, and create data-driven solutions to manage risk and identify new opportunities. This position interfaces with internal and external stakeholders to deliver best-in-class analytical solutions and supports functions such as New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, and more. The key responsibilities of the Data Scientist include developing and deploying ML/predictive models using internal and external data, tracking and monitoring model performance, conducting complex analysis using statistical and quantitative techniques, evaluating and integrating data from various sources for modeling, analytics, and reporting, generating insights from data to assess key performance indicators/trends, partnering with business and technical Subject Matter Experts (SMEs) to analyze and solve business problems, supporting the transformation of risk data capabilities through advanced technology and real-time decision-making, implementing models and decision rules in production with IT/deployment teams, developing documentation to meet internal and external stakeholder requirements, and coaching junior team members and overseeing project delivery. The ideal candidate for this role should possess a Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or a related field, along with 7+ years of experience in risk/marketing data analytics or predictive modeling. Proficiency in SQL, Python, SAS, or other analytical tools/open-source programming languages, strong technical skills, problem-solving ability, excellent communication, and interpersonal skills are also required. Additionally, having a Master's degree in a relevant field, 10+ years of experience, experience with credit bureaus and other external data sources, and hands-on experience with AI/Money Laundering techniques would be considered great assets for this position.,

Updraft. Helping you make changes that pay off. Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans. A 360 degree spending view across all your financial accounts (using Open banking) A free credit report with tips and guidance to help improve your credit score Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores Intelligent lending products to help reduce cost of credit We have built scale and are getting well recognised in the UK fintech ecosystem. 800k+ users of the mobile app that has helped users swap c 500 m of costly credit-card debt for smarter credit, putting hundreds of thousands on a path to better financial health The product is highly rated by our customers. We are rated 4.8 on Trustpilot, 4.8 on the Play Store, and 4.4 on the iOS Store We are selected for Technation Future Fifty 2025 - a program that recognizes and supports successful and innovative scaleups to IPOs - 30% of UK unicorns have come out of this program. Updraft once again featured on the Sifted 100 UK startups - among only 25 companies to have made the list over both years 2024 and 2025 We are seeking a skilled Retail Credit Risk Analyst with 3+ years of experience in the UK credit markets, specifically within personal loans for debt consolidation. The successful candidate will play a critical role in assessing, monitoring, and optimising credit risk strategies to ensure a balanced approach between risk management and business growth. Key Responsibilities: Conduct portfolio analytics to assess risk trends, customer behavior, and loan performance Analyze credit data, customer profiles, and market trends to enhance underwriting criteria Work closely with stakeholders to optimize credit policies and improve lending strategies Utilize statistical and machine learning techniques to support data-driven risk assessment methodologies Monitor key performance indicators (KPIs) related to loan approvals, delinquencies, and charge-offs Requirements Required Skills & Experience: 3+ years of experience in a credit risk role, preferably within personal loans and debt consolidation in the UK Strong understanding of credit scoring models, risk analytics, and lending strategies Relevant experience in working on UK credit bureau data and leveraging it for credit risk analysis Experience or familiarity with end-to-end life cycle of a retail loan portfolio Proficiency in SQL and Python for data analysis and risk modeling Experience working with decision engines and credit risk platforms Strong analytical skills with the ability to translate data insights into business decisions Excellent communication and stakeholder management abilities Preferred Qualifications: Experience in alternative data usage for credit risk evaluation Familiarity with Open Banking and fintech lending platforms Bachelor&aposs or Master&aposs degree in Finance, Statistics, Mathematics, Economics, or a related field Benefits Pension Plan Paid Time Off Work From Home Training & Development Show more Show less

As an Industry & Functional AI Decision Science Manager at Accenture, located in Bengaluru, BDC7C, you will be required to have expertise in Risk Analytics. Additionally, experience in financial modeling, valuation techniques, and deal structuring would be beneficial. In this role, you will drive strategic initiatives, manage business transformations, and utilize industry expertise to develop data-driven recommendations aimed at enhancing business performance. Working with the Accenture CFO & EV team under the Data & AI unit, you will have the opportunity to engage with top financial clients globally. You will have access to cutting-edge technologies and resources, collaborating with talented individuals from diverse backgrounds, fostering innovation and pushing the boundaries of business capabilities. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations. You will be involved in model development, validation, governance, strategy, transformation, and implementation of risk solutions for Accenture's clients. To excel in this role, you must possess strong analytical, problem-solving, and communication skills. You should be able to work independently in client engagements, manage small projects, and guide junior team members. Additionally, you should have a conceptual understanding of risk regulations and experience in statistical techniques, programming languages, and tools such as SAS, R, Python, Tableau, and PowerBI. Ideally, you should hold a Master's degree in a quantitative discipline or an MBA from a top-tier university. Industry certifications such as FRM, PRM, or CFA would be preferred. Excellent communication and interpersonal skills are essential for this position. This role offers the opportunity to work on innovative projects, career growth, and leadership exposure within Accenture.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Director Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Cybersecurity and Privacy services, will provide you with the opportunity to help our clients implement an effective cybersecurity programme that protects against threats, propels transformation, and drives growth. As companies pivot toward a digital business model, exponentially more data is generated and shared among organisations, partners and customers. We play an integral role in helping our clients ensure they are protected by developing transformation strategies focused on security, efficiently integrate and manage new or existing technology systems to deliver continuous operational improvements and increase their cybersecurity investment, and detect, respond, and remediate threats. Responsibilities: The role requires someone who understands DLP information protection technology from both a managerial/strategic level and hands on technical design and implementation. Architect/engineer Data Leakage Prevention security solutions covering DLP Endpoint, Discover, Web & Email. Provide advice on Data Leakage Policy development. Own and manage tool configuration, ensuring appropriate governance and change control arrangements are operating across the business. Provide support for DLP platform including analysis, continuous configuration, tuning and testing of data loss prevention policies Perform maintenance on the DLP platform including patching, configuration modifications and upgrades/Migrations Integrate with analytics and compliance tooling. Monitor DLP information security alerts though DLP tools to respond, triage, and escalate as needed. Analyze event/alert patterns to properly interpret and prioritize threats with available DLP tools and other data protection devices. Identify trends and drive requirements aimed at improving and enhancing existing data loss prevention detection policies and configurations. Provide technical advice and input for the support of integrated security systems and solutions. Interface with clients in the strategic design process to translate security and business requirements to improve the efficiency of daily tasks, monitoring, and processes with innovative ideas. Create, review, maintain and update documentation including Documenting & Publishing fixes in central knowledge base. Monitor the use of the tools and ensure a consistent process of improvement is in place. Candidate should have hands on experience on 2 of the recognized DLP tool (Forcepoint, Symantec, Netskope, Mcafee or Digital Guardian). Experience: 12+ years work experience on a Security Technical Services and/or Support Operations team preferred. Candidate will exhibit a history of reliability and strong decision-making skills due the trust imparted in them as a DLP analyst. DLP related monitoring experience desired. Candidate must possess strong analytical skills to identify complex security issues and respond at the same level with a technical understanding of when to escalate impacting security events. Experience working with clients in a support role Must possess requisite oral communication and writing skills Must be self-motivated and capable of independent work while operating in a geographically and culturally diverse peer group. Mandatory skill sets: As above Preferred skill sets: As above Years of experience required: 12+Years Education qualification: B.Tech, preferred Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Risk Analytics Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Cloud Security, Coaching and Feedback, Communication, Conducting Research, Creativity, Cyber Defense, Cyber Threat Intelligence, Embracing Change, Emotional Regulation, Empathy, Encryption, Inclusion, Influence, Information Security, Innovation, Intellectual Curiosity, Intelligence Analysis, Intelligence Report, Intrusion Detection, Intrusion Detection System (IDS), IT Operations + 28 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

We are looking for a Lead Fraud Risk Analytics to design and implement AI-driven fraud detection systems for UPI, cards, and digital payments. This role requires deep expertise in real-time fraud detection, anomaly detection, behavioral analytics, and AI/ML-based risk modeling. This role will also help build the business intelligence for the UPI vertical. What You ll Do Fraud Detection & Prevention Build and enhance real-time fraud detection models for UPI transactions, QR payments, and card transactions. Develop AI-driven behavioral risk models to detect abnormal payment activity, device spoofing, and synthetic identity fraud. Design rule-based + ML-driven fraud detection systems to reduce false positives & false negatives. Implement device intelligence, geo-location tracking, and biometric authentication to prevent fraud. Work closely with the engineering team to integrate fraud detection APIs into UPI systems. Risk Analytics & Model Development Design machine learning models (supervised & unsupervised) for fraud pattern recognition. Develop graph analytics models to detect fraud rings, mule accounts, and collusion. Implement real-time anomaly detection for transaction velocity, value, and geolocation mismatches. Optimize UPI risk scoring frameworks based on RBI & NPCI fraud guidelines. Operational & Regulatory Risk Management Work with NPCI, RBI, and banking partners to ensure compliance with UPI fraud monitoring regulations. Establish risk rules & thresholds for suspicious transactions (e.g., high-frequency transactions, cross-border UPI fraud). Monitor fraud trends & suggest real-time interventions for high-risk transactions. AI-Driven Chargeback & Dispute Management Design AI-driven chargeback prediction models to minimize fraud losses. Build an early warning system to flag suspicious refunds and chargeback abuse. Automate dispute resolution workflows using NLP-based document analysis. Stakeholder & Team Leadership Collaborate with product, risk, engineering, and compliance teams to enhance fraud mitigation strategies. Mentor & guide a team of fraud analysts, data scientists, and risk engineers. Stay updated on global fraud trends, AI-driven fraud strategies, and regulatory changes. What We re Looking For Technical Proficiency: Strong foundation in machine learning, statistical analysis, and data modeling techniques. Programming Skills: Experience with Python, R, SQL, or similar tools for data analysis. Familiarity with big data platforms like Spark or Hadoop is a bonus. Analytical Thinking: Ability to solve complex problems and provide meaningful insights from large datasets. Collaboration: Excellent communication and teamwork skills to work effectively with product, engineering, and business teams. Domain Knowledge: Have an understanding of BNPL credit risk. Attention to Detail: Precision in building models and delivering accurate results. Experience & Qualifications Experience: 5+ years in data science, analytics, or a related field. 2+ years in UPI, Cards, or Digital Payments Educational Background: Bachelor s or master s degree in data science, Statistics, Mathematics, Computer Science, or a related discipline. Why Zype Impactful Work: Be part of a fast-growing fintech, driving data-driven innovation in BNPL. Collaborative Culture: Work alongside talented peers in a supportive and inclusive environment. Learning Opportunities: Gain exposure to cutting-edge technologies and methodologies in risk analytics. Career Growth: Build your career with opportunities to grow in a high-impact role. Ready to redefine risk analyticsJoin Zype and shape the future of BNPL in India!

What You ll Do Fraud Detection & Prevention Assist in analyzing UPI and QR transaction data to detect suspicious patterns. Contribute to rule-based and ML-assisted models to identify abnormal payment behavior. Support device fingerprinting, location-based risk analysis, and velocity checks. Work with the engineering team to help integrate basic fraud detection rules into payment systems. Risk Analytics & Model Development Work alongside senior analysts to build and test supervised/unsupervised ML models. Explore trends and anomalies in transaction data such as high-frequency usage or mismatches in device/location. Help in monitoring model performance and fine-tuning risk thresholds. Regulatory Risk Support Learn to interpret and apply NPCI and RBI fraud risk guidelines to support internal controls. Participate in tracking fraud cases and assist with reporting and root cause analysis. Cross-Team Collaboration Collaborate with product, tech, and compliance teams to support fraud mitigation strategies. Share data insights that help improve transaction safety and customer trust. What We re Looking For Experience: ~1.5 years in fraud analytics, data science, or risk analysis in UPI or digital payments. Technical Skills: Good hands-on knowledge of Python and SQL. Familiarity with tools like Pandas, scikit-learn, or similar. Analytical Thinking: Eagerness to solve problems using data and uncover patterns. Learning Mindset: Willingness to learn new tools and techniques under the guidance of senior team members. Team Player: Strong communication and collaboration skills. Why Join Zype Start Strong: Build your career in a fast-growing fintech working on real-time payment risk. Mentorship & Learning: Get hands-on mentorship from experienced fraud analysts and data scientists. Tech Exposure: Work with real-world data, modern AI tools, and scalable systems. Purpose-Driven Work: Help build safer, more secure digital payment systems for millions of users. Excited to dive into fraud analyticsCome grow with Zype!