196 Fraud Analytics Jobs - Page 2

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. Were already trusted by millions in the US and were quickly catching up in the UK but how we do things here is a little different. Were building the bank of the future from scratch, channeling our start-up mentality every step of the way meaning youll have the opportunity to make a real impact. As a Data Scientist Lead - Fraud Analytics at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. Were looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects and depending on your strengths and interests, youll have the opportunity to move between them. Job spec requirements The Fraud & Financial crime Product function leads the 1st line of defense business for fraud & financial crime risk, including ownership of the fraud & financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud & financial crime risk whilst ensuring 1 st class client experience you will be supporting the product from an Analytics perspective. Job responsibilities Develop and implement fraud strategies/rules to effectively detect fraudulent activities. Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank. Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact. Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective. Ensure all compliance, audit, and control frameworks are followed using data to confirm these processes adhere to regulation standards. Share best practices across JP Morgan Chase & Co. Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners Required qualifications, capabilities and skills Master s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc Knowledge of Fraud/Financial Crime process and products Team development and management experience required. #ICBCareer

Job description A RP Sanjiv Goenka Group company. Firstsource is a leading provider of customized Business Process Management (BPM) services. We are trusted custodians and longterm partners to 100+ leading brands with a presence in the US, the UK, India, and Philippines. Our rightshore delivery model offers solutions covering the complete customer lifecycle across Healthcare, Telecommunications & Media and Banking, Financial Services and Insurance Verticals. Our clientele includes Fortune 500 & FTSE 100 companies Collaborate with the Fraud Technical Lead to design and optimize fraud detection rules using insights derived from large-scale data analysis. Investigate emerging fraud trends by interrogating data across multiple systems, identifying patterns and proposing actionable countermeasures. Respond to business-critical questions by developing advanced SQL queries and customized reports. Youll go beyond the numbers to deliver clear, meaningful insights to stakeholders across the business. Support system quality assurance through user acceptance testing of fraud platform upgrades and enhancements, ensuring all changes meet functional requirements and are free of defects. Work with internal support teams and external vendors to resolve system incidents, applying commercial judgement to prioritize and escalate issues appropriately. Key Skills & Experience Advanced SQL proficiency confident writing complex queries involving joins, subqueries, CTEs, and aggregate functions. Experience working with large datasets in an enterprise data warehouse environment (e.g., Oracle, Goggle Cloud Platform). Strong analytical mindset with the ability to translate business problems into data-driven solutions. Comfortable designing and testing fraud detection logic based on behavioral and transactional data. Highly numerate, ideally with experience in a data analysis or fraud analytics role. Previous fraud experience is advantageous but not essential technical and analytical capability is key. Demonstrates resilience and adaptability when faced with competing priorities. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Hiring AML with Transaction Monitoring requires excellent English with a minimum of 1 year of experience in the AML process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Chennai Candidates * Required Candidate profile Should have AML with Transaction Monitoring Process experience Call us to line up your interview Sukriti -8176976655 Palak-8115955507 Riya-8176074455 Arjuna-9810615875 *

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!

Hiring KYC Profile, required excellent English with a minimum exp of 1 Year in the International KYC process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Online interview only * Required Candidate profile Should have International KYC Process experience / FATCA Graduation is Must Salary up to 5.5 LPA call Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Riya-8176074455 Arjuna-9810615875 *

Role & responsibilities Managing fraud management OPS partner 24*7 ( 3 shifts) Detect possible frauds through FMS alerts Analyze cases of suspicious fraud in complete domain Build research & analytical capabilities for effective and preventive Airtel Money & Fraud Management practices Motoring true/false positive ratio (TPR & FPR) and ensuring reduction in false positives alerts percentage & making FMS more accurate in terms of fraud detection. Building auto actioning capabilities to be more proactive Implementation of risk mitigation controls to strengthen the control environment Identify abnormal trends, pattern & gaps. investigate, recommend and implement resolutions Manage FM analyst on floor during shift timings Predictive and descriptive modelling using automated tool preferably in SAS environment Preferred candidate profile Knowledge of Revenue Assurance & Fraud Management , Mobile Money Systems, Mobile Financial Service Ability to do data analysis and formulate the business processes Strong problem solving skills Environmental awareness of economic and financial risks impacting in digital payment processes High level of integrity

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.

Qualification: Graduate Experience: Minimum 6 months in banking (AML/KYC) Salary: Up to 35,000 in-hand + Incentives Shift: Rotational Working Days: 5 days (any 2 weekly offs) Requirement: Immediate joiners HR Kanchan 9691001643 Required Candidate profile Excellent Communication skills 6 months experience is manadate in banking

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. Were already trusted by millions in the US and were quickly catching up in the UK but how we do things here is a little different. Were building the bank of the future from scratch, channeling our start-up mentality every step of the way meaning youll have the opportunity to make a real impact. As a Data Scientist Senior Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. Were looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects and depending on your strengths and interests, youll have the opportunity to move between them. Job spec requirements The Fraud & Financial crime Product function leads the 1st line of defense business for fraud & financial crime risk, including ownership of the fraud & financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud & financial crime risk whilst ensuring 1 st class client experience you will be supporting the product from an Analytics perspective. Job responsibilities Develop and implement fraud strategies/rules to effectively detect fraudulent activities. Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank. Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact. Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective. Ensure all compliance, audit, and control frameworks are followed using data to confirm these processes adhere to regulation standards. Share best practices across JP Morgan Chase & Co. Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners Required qualifications, capabilities and skills Master s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc Knowledge of Fraud / Financial crime processes and products Team development and management experience required. #ICBCareer

Key Responsibilities Monitor transactions, user accounts, and behavioral patterns to detect anomalies and potential fraud. Investigate alerts and escalations, analyze evidence, and take appropriate actions to mitigate fraud risk. Develop and optimize fraud detection rules, thresholds, and monitoring systems. Prepare detailed reports and case documentation for internal teams, compliance, and external authorities if required. Collaborate with product, data science, and engineering teams to enhance fraud detection capabilities. Stay updated on emerging fraud trends, tools, and best practices in financial crime prevention. Support regulatory and compliance requirements such as KYC, AML, and suspicious activity reporting. Must-Have Qualifications Bachelors degree in Finance, Business, Statistics, Computer Science, or a related field. 1–3 years of experience in fraud detection, transaction monitoring, risk analysis, or a related field (Banking, FinTech, Payments, or E-commerce preferred). Strong analytical and problem-solving skills with attention to detail. Proficiency in SQL, Excel, and fraud/risk monitoring tools. Ability to identify patterns, anomalies, and trends in large datasets. Strong communication skills for drafting reports and collaborating with cross-functional teams.

As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities within the organization. You will be responsible for developing and maintaining fraud detection models, setting up rules, and supporting control-related initiatives. Collaboration with Risk ops, Product, and Engineering teams is essential to ensure effective and scalable risk controls. Your key responsibilities will include: - Developing and enhancing fraud detection models using rule-based and data-driven approaches. - Monitoring real-time transaction data for suspicious activity, highlighting concerns, and suggesting corrective actions. - Configuring fraud detection rules within the transaction monitoring system to ensure accuracy and reduce false positives. - Analyzing fraud trends and transaction patterns to proactively address vulnerabilities and emerging fraud schemes. - Coordinating with cross-functional teams to align fraud risk mitigation strategies with business goals. - Supporting fraud-related control projects, ensuring compliance with regulatory standards and internal risk frameworks. - Preparing fraud risk reports for senior management, providing insights, trends, and actionable recommendations. - Working closely with the Senior Manager to meet regulatory requirements and improve fraud monitoring tools and techniques. - Participating in regulatory audits and assisting with responses to fraud-related queries from authorities. Qualifications: - Bachelor's degree in Data Analytics, Statistics, Risk Management, or related field preferred. - 4-8 years of experience in fraud analytics, risk management, or similar roles within the fintech industry. - Proficiency in 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 to identify trends and make data-driven decisions. - Excellent communication skills to convey insights clearly to technical and non-technical audiences. Preferred Skills: - Knowledge of machine learning models for fraud detection. - Experience with fraud detection systems in the fintech sector, especially in a licensed TPAP setup. - Familiarity with compliance and audit requirements in regulated financial environments. Join us in our mission to bring half a billion Indians into the mainstream economy. Our success is driven by the collective energy and customer focus of our team. We are committed to democratizing credit for deserving consumers and merchants. Embrace the opportunity to be part of India's largest digital lending story.,

Must have skills Past experience in investigating abuse / financial crimes Experience in fraud analytics Very strong written communication skills Proven track record or writing reports consumed at executive level (structured writing and report building) Good to have skills Data driven approach to answering questions Past experience conducting open source intelligence research Highly proficient in using tools commonly available online for research Skilled at synthesizing information from various sources and determining the key takeaways Past experience in OSINT / Abuse Investigative tools Past experience using corporate registries / reviewing public databases to identify individuals / companies behind an activity Past experience synthesizing open source intelligence research Location Only WFO and in line with the overall Service Delivery Strategy HYD

Qualification: Graduate Experience: Minimum 6 months in banking (AML/KYC) Salary: Up to 35,000 in-hand + Incentives Shift: Rotational Working Days: 5 days (any 2 weekly offs) Requirement: Immediate joiners HR Arti 9522754537 Required Candidate profile Excellent written and verbal communication is required Banking or Aml,KYC experience is mandate

Hiring KYC Profile, required excellent English with a minimum exp of 1 Year in the International KYC process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Online interview only * Required Candidate profile Should have International KYC Process experience / FATCA Graduation is Must Salary up to 5.5 LPA call Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Riya-8176074455 Arjuna-9810615875 *

Role & responsibilities As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies. Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities. • Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges. Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making. Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life. What do we expect? 1. 2 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. 2. Mandatory : Minimum 2+ years of experience in the Banking and Financial services industry 3. Good communication skills, both verbal and written. 4. Exhibit a fervour for crafting modular, scalable, and bug-free Python code. 5. Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. 6. Experience in production engineering best practices (e.g. Git versioning, Docker). 7. Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark) 8. Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP). 9. Excitement to collaborate with diverse stakeholders across the organisation. 10. In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. 11. Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations. 12. Must-Have Skills : Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this

Qualification: Graduate Experience: Minimum 6 months in banking (AML/KYC) Salary: Up to 35,000 in-hand + Incentives Shift: Rotational Working Days: 5 days (any 2 weekly offs) Requirement: Immediate joiners HR Arti 9522754537 Required Candidate profile Excellent written and verbal communication banking experience is required

Qualification: Graduate Experience: Minimum 6 months in banking (AML/KYC) Salary: Up to 35,000 in-hand + Incentives Shift: Rotational Working Days: 5 days (any 2 weekly offs) Requirement: Immediate joiners HR Kanchan 9691001643 Required Candidate profile Excellent Communication skills 6 months experience is manadate in banking

* Hiring for Banking Executive * aml, fraud or kyc experience is mandatory * 5 Days Working * Rotational shift * Graduate and UG both can apply *1 way drop cab facility * Immediate joiners HR Yojita 9713451996 Required Candidate profile Excellent Communication skills 6 months experience is manadate in banking

Qualification: Graduate Experience: Minimum 6 months in banking (AML/KYC) Salary: Up to 35,000 in-hand + Incentives Shift: Rotational Working Days: 5 days (any 2 weekly offs) Requirement: Immediate joiners HR Kanchan 9691001643 Required Candidate profile Excellent Communication skills 6 months experience is manadate in banking

Exp- 13- 17 years Skill - Analytics Manager Location - Bangalore Shift 1.30 pm -10.30 pm Work Model - Hybrid Mode Required Qualifications: • 14+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education • 2+ years of leadership experience • Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education • Leadership experience Desired Qualifications: • Financial Crimes, Operational Risk, Fraud, Sanctions, Anti-Bribery, Corruption experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. • Project Management, development, strategic planning, process management, change delivery, or equivalent experiences. • Outstanding verbal and written communication skills and the ability to communicate complex ideas to non- quantitative colleagues in a concise and clear fashion. • Ability to execute in a fast-paced, high-demand, environment while balancing multiple priorities. • Experience in managing reporting or analytics operations, preferably within financial crimes or risk management. • Management or leadership experience; Proven leadership success recruiting, inspiring, developing, coaching, and motivating team members through balanced leadership with a focus on team member engagement and retention and performance management. • Proficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications. • Familiarity with visualization and analytics tools (e.g., Alteryx, SQL, Tableau, Qlik Sense). • Experience building relationships across lines of businesses and geographies, influencing partners, as well as providing credible and effective challenge. • Preferred Financial Crimes Certifications Certified Anti-Money Laundering Specialist (ACAMS) or Certified BSA/AML Professional (CBAP)

Entity :- Accenture Strategy & Consulting Title :- Level 9 Ind & Func AI Decision Science Consultant Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills: Project DependentQualification Job Qualifications Who we are looking for 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail o Fraud, Anti Money Laundering, Financial Crime, Telecom o Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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.

Dear Applicant, Hiring for Fraud Investigation SME Location : Hyderabad Shift : Rotational Years of exp : 2.5 yrs - 5 yrs Package : 6.5lpa Notice Period : Immediate , Qualification : Any Graduate Good Knowledge on : SQL Interview Mode : Walkin (F2F) Skills : Fraud Investigation fraud analytics, investigating abuse, financial crimes, crime investigator, investigative analyst, Good Knowledge on SQL 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 Interested candidates contact HR Hema@9136535233/ hemavathi@careerguideline.com