81 Falcon Jobs - Page 4

Role & responsibilities: Key highlights of the role are listed below (purely indicative and not limiting): Reviewing alerts in Falcon to proactively identify and mitigate risks associated with credit and fraud by continuously monitoring customer behavior and transactions Previous working Knowledge of Fraud trends & experience would be added advantage Identifying application inconsistencies and detecting suspicious applications across multiple channels. Job specific skills: Applicants should possess the following attributes: Filter suspicious applications basis rules defined in Tool (Falcon) Identify Inconsistencies at the application level for applicants Knowledge and understanding of Bureau and CIBIL report. Ability to resolve complex problems with minimal guidance Excellent writing, interpersonal, and communication skills. Ability to excel in a fast-paced environment with multiple priorities. Proficient in Microsoft Excel, PowerPoint, and Word Ability to communicate with internal and external management in all levels and in all aspects of acquiring. Knowledge of KYC understanding and identification would be an added advantage Should be well-versed with RBI guidelines. Should be having good knowledge on market fraud cases.

As a Fresher Python Developer, you will be involved in the design, development, and maintenance of Python-based applications and services. You will work closely with experienced developers and contribute to all phases of the software development.

Fraud Analytics Expertise Ability to find fraud patterns in digital transactions and understand fraud modus operandi. Fraud Control Creation & Implementation – Skilled at designing, testing, and deploying fraud prevention controls. FRM Tool Experience – Hands-on with tools like Clari5 or Falcon . Advanced Data Skills – Strong in Excel (macros, data analysis) and preferably SAS/Python. RBI Guidelines Knowledge – Clear understanding of fraud risk regulatory requirements. Leadership & Team Management – Leading teams, creating SOPs, and ensuring governance. Cross-functional Collaboration – Working with IT, business teams, and senior management to implement strategies.

Role & responsibilities 1. Analysing data and implementing fraud FALCON rules based on data observations/Mapping/Requirement (Expertise in FALCON Expert and Falcon Case manager) 2. Development and deployment of rules across all channels as per the business requirement. 3. Improve detection rate by creating strong rules around the fraud modules. 4. Communication with various stakeholders regarding the rule requirement and suggesting proper solutions which aligns with business expectation. 5. Creating test plan, test cases and UAT testing as per the format. 6. Monthly review and update to management on status of implementation. 7. Handling post production issue within TAT 8. Coding evaluation and vendor management 9. To track timelines of project and system implementation 10. To understand the business requirement for data integration as per the BRD 11. To understand the flow of transaction. 12. Understanding data elements (ISO8583) to prepare BRD Location: Jaipur Experience: 2-5 Years

We are seeking a skilled professional with hands-on experience in FICO Fraud Monitoring (FFM 6.4.X & 6.5.X) systems and infrastructure support in Linux environments. If you have experience working with FICOs PMAX, MUX, Couchbase, and integrations with digital banking channels, this could be the perfect opportunity for you. Role & responsibilities We are looking for a skilled Linux System Administrator to manage, maintain, and support our Linux-based infrastructure. You will be responsible for ensuring the smooth operation of Linux systems, servers, and networks to support business operations and development teams. -install, configure, and maintain Linux servers (Red Hat, CentOS, Ubuntu, etc.) -Perform system monitoring, performance tuning, and regular health checks -Manage user accounts, permissions, and security policies -Patch and upgrade operating systems and software packages -Maintain system backups and recovery processes -Troubleshoot hardware, software, and networking issues -Automate tasks using shell scripting or tools like Ansible -Monitor server logs and respond to alerts in a timely manner -Work with development and IT teams to support application deployment Install and configure FICO FFM 6.4.X & 6.5.X for Credit, Debit, and DDA RETAIL on Linux OS. Set up FICOs PMAX, MUX, and Couchbase servers; apply hot/service packs. Configure PMAX based on client transaction volume requirements. Test transaction flow and validate cases in database systems. Apply patches and manage upgrades for FICO applications including Case Manager. Install/uninstall latest Credit/Debit Models as per FICO recommendations. Create Couchbase buckets and enable XDCR replication between Production and DR. Configure MUX and establish isolated connections to Falcon scoring servers. Install and configure FAI (Falcon Application Interface) for integration with switch/digital channels. Install FPI (Falcon Programming Interface) for alert notifications via IVR, SMS, Email, WhatsApp. Modify UDP/UDV counts in Falcon application as needed. Manage GUTs, hncRule, hncRuleController, hncBatchController, and DBFE rule engines manually. Location: Jaipur Preferred Experience: 2-6 Years

About The Role This is a Public document. About The Role for a Credit Card Transaction Monitoring Manager Reports toCREDIT CARD POLICY HEAD LocationMUMBAI Job Summary: We are seeking an experienced Credit Card Transaction Monitoring individual (M5-AVP) to join our Credit Risk Management team. The successful candidate will be responsible for monitoring credit card transactions data, identifying potential fraud or high risk transactions with higher bad rates, and implementing rules to prevent such transactions and reduce future financial losses coming from them. This role requires a blend of analytical skills, attention to detail, and knowledge of fraud detection technologies and methodologies. The ideal candidate will have experience in data analysis, risk analytics, and fraud prevention. They should be proficient in SAS, SQL, and Python for data querying and analysis, and have a strong understanding of fraud risk management in the financial services industry Key Responsibilities: Monitoring TransactionsResponsible for overseeing credit card transactions to detect and prevent fraudulent activities, high risk transactions on various MCC"™s such as rental, wallets, fuels etc. this includes analysing transaction patterns and identifying any suspicious behaviour. Rule CreationPart of the job would involve creating and implementing rules within the FALCON system to help identify and stop such transactions. Test and refine rules to ensure accuracy and effectiveness. This requires a deep understanding of fraud trends and the ability to translate this knowledge into effective fraud prevention strategies. Identifying customers who are making non retail transactions and using credit card funds for other than specified retail purposes and building rules to stop or reduce transactions on them by blocking those MID"™s, initiating blocking of credit card accounts and credit limit reduction. Using FICO® Falcon® Fraud ManagerYou would likely be using FICO"™s Falcon Fraud Manager, which is a leading solution for real-time transaction protection across various channels. CollaborationThe role may require collaboration with business and financial users to define, test, and deploy these rules based on the organization"™s requirements and strategies Creating and maintaining reports for tracking fraud trends and the performance of fraud prevention strategies. Querying operational databases and data warehouses using SQL and other tools to extract data for analysis. Staying up-to-date on current fraud best practices and emerging threats. This is a Public document. Requirements: 5+ years of experience in credit card transaction monitoring or related field 2+ years of experience in a mid-leadership role. Strong knowledge of Falcon or similar fraud detection systems Excellent analytical and problem-solving skills Effective communication and leadership skills Ability to work in a fast-paced environment Experience with machine learning or data science Certification in fraud prevention or related field will be an added advantage