196 Fraud Analytics Jobs

SUMMARY About The Cllient A Fortune 500 global leader in technology services and digital business solutions, this company delivers comprehensive Business Process Services (BPS) and IT-enabled solutions. With a worldwide presence, it serves diverse industries including banking, healthcare, retail, manufacturing, and communications. The firm's expertise spans a broad spectrum of critical processes from finance and accounting to human resources, customer service, and supply chain management - enabling clients to enhance efficiency, drive innovation, and achieve business agility on a massive scale. Geo Risk Intel Investigation Ops JDs Summary We want to hire specialists to support investigations with additional HC to come onboard in 2024. Locations should be in HYD with WFO as a mandatory requirement. At a high - level we are looking for candidates demonstrating the ability to independently conduct investigative work using commonly available tools, with strong domain expertise. They should possess strong critical thinking mindset , investigative skills as well as exceptional report writing skills to report the findings accurately and efficiently Roles and Responsibilities 1. Conduct independent research based on direction provided by PgM and the project team to identify modus operandi, bad actor archetypes and abuse vectors/TTPs 2. Provide key insights reports on abuse trends based on a. Independent assessment of abuse trends b. Specific research methodology prescribed as a part of project plan 3. Regularly report on progress in OSINT investigations and provide feedback candidly 4. Identify novel abuse trends through research and analysis General Qualifications 1. Minimum qualification of graduation from a government recognized university 2. Minimum tenure of 36+ months working as a abuse / fraud/crime investigator or investigative analyst 3. Excellent written and verbal communication skills 4. Critical thinking ability to conduct independent investigative work 5. Ability to solve problems using a data driven approach 6. Ability to maintain composure in challenging situations 7. Proven ability to work with sensitive information and to follow procedure when operating in a sensitive space Profile - CyberCrime Investigations Background Must have skills Past experience in investigating abuse / financial crimes Experience in fraud analytics Very strong written communication skills Proven track record or writing reports consumed at executive level (structured writing and report building) Good to have skills Data driven approach to answering questions Past experience conducting open source intelligence research Highly proficient in using tools commonly available online for research Skilled at synthesizing information from various sources and determining the key takeaways Past experience in OSINT / Abuse Investigative tools Past experience using corporate registries / reviewing public databases to identify individuals / companies behind an activity Past experience synthesizing open source intelligence research Location Only WFO 5 days Rotational Shift and in line with the overall Service Delivery Strategy HYD cab will be provided appraised Requirements 3-8 years of relevant experience Bachelor’s degree in commerce or accounting, or any other degree with relevant experience Prior experience with reviewing and working alerts, preferably in the financial intelligence unit of a financial institution Professional proficiency in English

Graduate with minimum 1 year exepreince in Fraud Analyst / Risk Management Good communication skills 24*7 shift TWO offs Blended process - Voice / Chat/ Mail Process Immediate Joiners 37K + Inc + 2500 TA Kalyani Nagar 8237076800 / 9226639337

We are hiring for Aml/Fraud/Kyc Executives Graduate or undergraduate both can apply with 6 months experience in banking 5 days working 1 way cab location- Malad Immediate joining HR Arti 9522754537 Required Candidate profile Excellent communication is mandatory Banking, Fraud, Dispute, experience is mandatory

We are hiring for Aml Analyst Graduate or undergraduate both can apply with 6 months experience in Aml, Kyc, Fraud, CDD, EDD 5 days working 1 way cab location- Malad Immediate joining HR Arti 9522754537 Required Candidate profile Excellent verbal and written communication is required AML, Kyc, Fraud, EDD, CDD experience is mandatory

As an experienced consulting professional in the field of Data Science or AI/ML Engineering, you will be responsible for understanding solutions, industry best practices, and implementing Oracle products and technology to meet customer needs. You will operate independently to deliver high-quality work products to engagements, applying Oracle methodology, company procedures, and leading practices. **Key Responsibilities:** - Lead end-to-end AI/ML solution design and production deployment - Specialize in Generative AI, LLMs, NLP, and AI agent development - Expertise in Python and modern ML/NLP frameworks such as HuggingFace, LangChain, PyTorch, TensorFlow - Fine-tune LLMs for domain-specific applications like Q&A systems, auto-documentation, and predictive insights - Build, scale, and optimize AI systems on OCI with knowledge of hybrid/multi-cloud architectures - Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines - Familiarity with MLOps, model governance, and CI/CD for ML workflows - Excellent communication and stakeholder management skills to bridge the gap between technical and executive teams **Qualifications & Experience:** - 12-15 years of total experience, with a minimum of 5 years in Data Science or AI/ML Engineering roles - Proven track record in AI/ML solution design and deployment - Expertise in Python and modern ML/NLP frameworks - Hands-on experience with AI systems on OCI and knowledge of multi-cloud architectures - Strong knowledge of machine learning algorithms, prompt engineering, and model governance - Experience in stakeholder engagement, program oversight, and solution design **Additional Details:** The company is committed to an inclusive culture that celebrates diverse insights and perspectives, fostering an environment that inspires thought leadership and innovation. Oracle offers a competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability, including Medical, Life Insurance, Retirement Planning, and more. The company encourages employees to engage in giving back to communities and values diversity and inclusion in the workforce. If you are looking for a challenging role where you can leverage your expertise in AI/ML engineering to drive innovative solutions and work in a diverse and inclusive environment, this position at Oracle might be the perfect fit for you.,

Role Overview: As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities. Your responsibilities will include developing and refining fraud detection models, monitoring real-time transaction data for suspicious activities, analyzing fraud trends, collaborating with cross-functional teams, supporting fraud-related control projects, preparing fraud risk reports, ensuring regulatory compliance, and continuously improving fraud monitoring tools and techniques. Key Responsibilities: - Develop and refine fraud detection models using rule-based and data-driven approaches. - Monitor real-time transaction data for suspicious activity and provide recommendations for corrective action. - Assist in configuring fraud detection rules within the transaction monitoring system to ensure accuracy and minimal false positives. - Analyze fraud trends and transaction patterns to address potential vulnerabilities and emerging fraud schemes. - Collaborate with Risk, Compliance, and Product teams to align fraud risk mitigation strategies with business objectives. - Support fraud-related control projects, ensuring compliance with regulatory standards. - Prepare fraud risk reports for senior management, outlining key insights and recommendations. - Ensure regulatory requirements are met and assist in responding to fraud-related queries from authorities. - Continuously improve fraud monitoring tools and techniques to enhance accuracy and efficiency. - Participate in regulatory audits and assist in responding to fraud-related queries. Qualifications: - A bachelor's degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. - 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech industry. - Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. - Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. - Strong analytical and problem-solving skills with the ability to make data-driven decisions. - Excellent communication skills for presenting insights to technical and non-technical audiences. Additional Details of the Company: Join a team that encourages new challenges and making a meaningful difference. With over 500 million registered users and 21 million merchants, the company is committed to democratizing credit for deserving consumers and merchants. Be a part of India's largest digital lending story and contribute to bringing half a billion Indians into the mainstream economy.,

Graduate with minimum 1 year exepreince in Fraud Analyst / Risk Management Good communication skills 24*7 shift TWO offs Blended process - Voice / Chat/ Mail Process Immediate Joiners 37K + Inc + 2500 TA Kalyani Nagar 90490 73144 / 9226639337

We are hiring for Aml Analyst Graduate or undergraduate both can apply with 6 months experience in Aml, Kyc, Fraud, CDD, EDD 5 days working 1 way cab location- Malad Immediate joining Required Candidate profile Excellent verbal and written communication is required AML, Kyc, Fraud, EDD, CDD experience is mandatory

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Risk Investigator Associate acts as a first point of contact ensuring a high-quality, secure, and customer-centric experience while mitigating risks and ensuring compliance. Review transactions and all available information to understand our customers while respecting all identities. Make customer-centric decisions and take the path of least resistance to protect our customers. Observe customer transactions to identify fraudulent activities such as account takeovers, friendly fraud, theft, and other similar risks. Exhibit a bias for action on observed patterns and trends, and take ownership by providing timely and accurate resolutions based on customer and market needs. Aim for excellence during goal setting, keeping continuous improvement foremost in mind, whether for personal development or process enhancement. Identify suspicious activities and unusual patterns that could result in fraud, including, but not limited to, AML issues and activities reported by other staff members. Contact customers and banking institutions to verify legitimate transactions and payment information. Communicate effectively, showing respect, genuine empathy, and care. Properly document all interactions and findings using the organization's tools and platforms. Be data-driven when presenting feedback and recommendations. Take inbound and outbound calls to request additional documents for KYC, compliance, and/or to mitigate risk behaviors. Experience, Education, Age At least 1 year of BPO or call center experience in risk and fraud management, preferably within financial accounts or industries such as insurance, travel, telecommunications, logistics, procurement, e-commerce, and retail. Experience should involve roles focused on fraud prevention and tasks such as payment processing, managing debit and credit card transactions, handling reimbursements, and resolving disputes. Process improvement and documentation experience is a plus. Six Sigma Certification: Yellow Belt is a plus. College Graduate or completed 3 year Bachelors College Degree. A Bachelor's Degree in Management, Finance, Business or related fields is an advantage. Candidates must be of legal working age. Salary: Gross CTC : 37500/- > 450000/- Net Salary : 35250/- If Transport Opted : 35250 - 2000 = 33250/- Self Transport > 35250+ 2500 > 37750/- Monthly Performance Incentive : 3800/- (Based on performance) Thrive On Premium : 3000 (After completionof first 6 months) CALL NOW 9226639337 / 8983678989

We are looking for a Banking Executive with experience in AML, KYC, or Fraud detection to join our dynamic team. The role involves handling banking processes, compliance checks, and ensuring customer due diligence. Eligibility & Requirements: Minimum 1 year of experience in the banking sector (AML, KYC, Fraud, or related). Graduate in any stream (Finance/Commerce preferred). Good communication and analytical skills. Job Details: Salary: 28,000 32,000 (In-hand) 5 Days Working 2 Rotational Offs HR Himanshu Dhurve 6232535322

SUMMARY About The Cllient A Fortune 500 global leader in technology services and digital business solutions, this company delivers comprehensive Business Process Services (BPS) and IT-enabled solutions. With a worldwide presence, it serves diverse industries including banking, healthcare, retail, manufacturing, and communications. The firm's expertise spans a broad spectrum of critical processes from finance and accounting to human resources, customer service, and supply chain management - enabling clients to enhance efficiency, drive innovation, and achieve business agility on a massive scale. Geo Risk Intel Investigation Ops JDs Summary We want to hire specialists to support investigations with additional HC to come onboard in 2024. Locations should be in HYD with WFO as a mandatory requirement. At a high - level we are looking for candidates demonstrating the ability to independently conduct investigative work using commonly available tools, with strong domain expertise. They should possess strong critical thinking mindset , investigative skills as well as exceptional report writing skills to report the findings accurately and efficiently Roles and Responsibilities 1. Conduct independent research based on direction provided by PgM and the project team to identify modus operandi, bad actor archetypes and abuse vectors/TTPs 2. Provide key insights reports on abuse trends based on a. Independent assessment of abuse trends b. Specific research methodology prescribed as a part of project plan 3. Regularly report on progress in OSINT investigations and provide feedback candidly 4. Identify novel abuse trends through research and analysis General Qualifications 1. Minimum qualification of graduation from a government recognized university 2. Minimum tenure of 36+ months working as a abuse / fraud/crime investigator or investigative analyst 3. Excellent written and verbal communication skills 4. Critical thinking ability to conduct independent investigative work 5. Ability to solve problems using a data driven approach 6. Ability to maintain composure in challenging situations 7. Proven ability to work with sensitive information and to follow procedure when operating in a sensitive space Profile - CyberCrime Investigations Background Must have skills Past experience in investigating abuse / financial crimes Experience in fraud analytics Very strong written communication skills Proven track record or writing reports consumed at executive level (structured writing and report building) Good to have skills Data driven approach to answering questions Past experience conducting open source intelligence research Highly proficient in using tools commonly available online for research Skilled at synthesizing information from various sources and determining the key takeaways Past experience in OSINT / Abuse Investigative tools Past experience using corporate registries / reviewing public databases to identify individuals / companies behind an activity Past experience synthesizing open source intelligence research Location Only WFO 5 days Rotational Shift and in line with the overall Service Delivery Strategy HYD cab will be provided appraised Requirements 1.5-8 years of relevant experience Bachelor’s degree in commerce or accounting, or any other degree with relevant experience Prior experience with reviewing and working alerts, preferably in the financial intelligence unit of a financial institution Professional proficiency in English

Job Title: Credit Card Fraud Detection Analyst Locations: Mumbai | Bangalore | Chennai (Onsite presence required in gulf countries on a need basis) Experience Required: 5 to 10 Years No. of Openings : 03 Salary Range: 10 LPA to 25 LPA (based on experience and expertise) About the Role: We are seeking experienced and analytical Credit Card Fraud Detection Analysts to join our Risk & Fraud Analytics team. In this role, you will be responsible for detecting, investigating, and mitigating fraudulent activities in real time, using advanced data analytics and fraud prevention tools. This is a high-impact position requiring a keen eye for detail, deep understanding of transaction behavior, and hands-on experience with fraud detection systems. If you are passionate about fighting financial crime using data, we want to hear from you. Key Responsibilities Lead end-to-end fraud detection and investigation efforts using advanced analytics and fraud management tools Design and implement fraud detection models using machine learning and statistical techniques to reduce false positives Monitor real-time transactions for unusual patterns and trigger appropriate alerts and interventions Analyze large volumes of transaction data to uncover emerging fraud trends and behavioral anomalies Develop and fine-tune rule-based fraud detection strategies in platforms like Actimize, Falcon, or SAS Collaborate with risk, compliance, and operations teams to escalate and resolve fraud cases promptly Conduct root cause analysis on confirmed fraud incidents to improve prevention controls Generate detailed reports and dashboards on fraud metrics, trends, and KPIs for leadership and compliance teams Ensure compliance with regulatory guidelines such as RBI, PCI-DSS, and other financial fraud frameworks Mentor junior analysts, share best practices, and contribute to building a robust fraud detection framework. Required Skills & Qualifications: 5 -10 years of experience in credit card fraud detection, risk analytics, or fraud operations Strong hands-on experience with fraud detection platforms (e.g., Actimize, Falcon, SAS FM) Proficiency in SQL for data extraction and analysis Working knowledge of Python or R for fraud modeling and anomaly detection Experience building or refining rule-based detection systems Familiarity with machine learning techniques used in fraud analytics Strong analytical thinking and pattern recognition abilities Experience with chargeback analysis and dispute resolution processes. Business Verticals: =============== - Banking and Financial Services Industry (BFSI) - Insurance - Telecom - Oil & Gas - Utilities - Healthcare - Supply Chain / Logistics Job REF Code: CCFDA_0925 Email ID: spectrumconsulting1985@gmail.com Please Email Your CV with Job REF Code [ CCFDA_0925 ] as subject

As a professional services firm affiliated with KPMG International Limited, KPMG in India has been serving clients since its establishment in August 1993. Leveraging the global network of firms, our professionals possess a deep understanding of local laws, regulations, markets, and competition. With offices situated across various cities in India such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer services to national and international clients across diverse sectors. Within KPMG in India, we have a specialized Forensic Technology lab dedicated to the recovery and utilization of crucial digital evidence to support investigations and litigation. By utilizing a range of tools, including proprietary, open source, and vendor tools, we can extract, transform, and visualize information from various sources in any format, including laptops, mobile phones, and other electronic devices. These tools enable us to ascertain the existence of erased or modified evidence, analyze electronic content and Internet usage patterns, recover deleted data, and evaluate metadata within recovered files, even in cases where attempts were made to destroy it. We are currently seeking individuals with 2-5 years of experience, preferably from Big 4 firms, who possess hands-on experience in data crunching through SQL. Technical knowledge of methods of anomaly detection, experience in fraud investigations and fraud analytics, as well as proficiency in report writing using MS Office are key qualifications for this role. Candidates should also demonstrate proficiency in Microsoft Office and Windows-based applications, strong communication, presentation, and organizational skills, and the ability to effectively communicate complex technical problems in simple terms. Additionally, the ideal candidate should be capable of presenting information professionally and concisely with supporting data, working independently in a dynamic environment with tight deadlines, and engaging with cross-functional teams to drive projects forward. KPMG in India is an equal opportunity employer.,

We are looking for an experienced Fraud & Risk professional to join our team. The ideal candidate will play a key role in developing and implementing advanced fraud detection strategies, conducting in-depth investigations, and providing insights to improve risk management processes. Responsibilities: Develop and implement advanced fraud detection models and strategies. Conduct thorough investigations on complex fraud cases. Analyze large datasets to identify trends and anomalies. Provide insights and recommendations to improve fraud prevention measures. Collaborate with cross-functional teams to enhance risk management processes. Mentor junior analysts and provide guidance on best practices. Stay updated with emerging fraud trends and technologies. Requirements: Bachelor's or masters degree in finance, Economics, Data Science, or related field. Proven experience in fraud detection and risk management. Strong analytical and problem-solving skills. Proficiency in data analysis tools (e.g., SQL, Python, R). Excellent communication and leadership skills. Ability to work independently and as part of a team. Knowledge of industry regulations and compliance standards.

Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Fraud Data Sr. Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics: 5+ years Data and ML analytics: 3+ years Reporting analytics, e.g. tableau: 5 + years Adaptable and flexible Agility for quick learning Ability to work well in a team Commitment to quality Written and verbal communication An expert in SQL, Tableau, preferred to have Python based data analytics experience Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Show more Show less

We are hiring for Aml Analyst Graduate or undergraduate both can apply with 6 months experience in Aml, Kyc, Fraud, CDD, EDD 5 days working 1 way cab location- Malad Immediate joining HR Arti 9522754537 Required Candidate profile Excellent verbal or written communication is required Aml,, Kyc, Fraud, Dispute experience is mandate

We are hiring for Aml Analyst Graduate or undergraduate both can apply with 6 months experience in Aml, Kyc, Fraud, CDD, EDD 5 days working 1 way cab location- Malad Immediate joining HR Arti 9522754537 Required Candidate profile Excellent verbal or written communication Aml,kyc, Fraud experience is mandatory

Min exp 3 years in Fraud Analytics & Credit risk--IT Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention Drop cv on supreet.imaginators@gmail.com Required Candidate profile Additional Skills: Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, An expert in SQL, Tableau, preferred to have Python based data analytics experience.. Exp range : 3-10 years

Dear Candidate, We are hiring for Fraud Analyst Bengaluru Location. Any graduate can apply Fraud Associate Band 3 What you will do: Recognise and respond to cases generated by the Fraud Management System (FMS) for unusual or suspicious activity in relation to application and usage screening to prevent abuse and loss of revenue across multiple Sky products Ensure that requests for information from internal and external departments are dealt with in accordance with agreed service levels, highlighting risks and issues to a Supervisor where appropriate Analyse data, information and Intelligence to identify new trends and patterns pertaining to known or new fraud threats within departmental guidelines Assist as necessary in the provision of fraud training and awareness to other business areas Keep abreast of changes in fraud trends, new products and services; conduct reviews or update internal processes to stay current and understand any implications to fraud processes Work rotational shift patterns 7 days per week, including evenings and weekends, to ensure appropriate coverage to support current and new business needs across all products and services Key Skills & Experience Include: Understanding or knowledge of Skys products and services alongside an awareness of current and possible future business trends, as well as their potential impact on the company A high level of personal integrity, confidentiality, and professionalism. You will conduct yourself in a collaborative, confident and professional manner when dealing with the business, industry and stakeholders, and when representing the business, whilst working with sensitive information The ability to work under pressure whilst ensuring accuracy and meeting tight deadlines, particularly with real-time decision-making requirements Proactive and self-motivated, proficient in standard Microsoft Office and experience in learning custom IT software, with a desire for continuous improvement Investigative ability, with strong attention to detail and a clear desire to understand root cause and explore opprotunities to improve process and detection within the fraud function. Experience and knowledge from the communications industry with awareness of fraud prevention strategies would be a desirable quality. Regards SPARK CONSULTANCY

Hiring: Fraud Analytics Roles for Location: Bengaluru; 5 days WFO - General shift Experience: 3–10 yrs Salary: Level9 14.07L – 22L Level10 11.13L – 15.5L NP: 30Days or Immediate Joiners Send CV: latika.chopra05@gmail.com Call Latika: 9810996899 Required Candidate profile Mandate Requirements: Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection & Prevention Additional: Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle. SQL, Tableau, Python

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

We are hiring for Aml/Fraud/Kyc Executives Graduate or undergraduate both can apply with 6 months experience in banking 5 days working 1 way cab location- Malad Immediate joining HR Arti 9522754537 Required Candidate profile Excellent written and verbal communication undergraduate and graduate both can apply Banking experience is mandatory