6 Risk Scoring Jobs

Experian is looking for a strategic and execution-focused Head of Product to drive the product vision, roadmap, and go-to-market strategy for Experian's Fraud&ID and SaaS business. In this role, you will also be responsible for expanding the ecosystem of strategic partnerships to enhance the business. As the Head of Product, your responsibilities will include defining and owning the product vision, strategy, and roadmap for Fraud&ID and SaaS products. You will lead cross-functional teams to deliver impactful products, prioritize features based on customer needs and market trends, and ensure regulatory compliance and security standards are met. Additionally, you will oversee the product lifecycle management from ideation to launch and collaborate closely with the GTM Head to drive GTM activities. In terms of partnerships and ecosystem development, you will identify, negotiate, and manage strategic partnerships with various stakeholders such as data providers, technology platforms, and regulatory bodies. You will also work on building API integrations and co-branded solutions with partners, and develop joint go-to-market strategies in collaboration with sales and marketing teams. As a leader, you will build and mentor a high-performing product and partnerships team. You will collaborate with executive leadership on company strategy, growth planning, and innovation. Moreover, you will monitor the competitive landscape and emerging technologies to stay ahead in the market. The ideal candidate should have over 12 years of experience with a minimum of 5 years in product management and 3 years in a leadership role. Experience in fintech, fraud prevention, identity verification, and cybersecurity domains is essential. In-depth knowledge of digital lending platforms, onboarding workflows, B2B SaaS products, and regulatory frameworks is required. Strong communication, negotiation, and stakeholder management skills are also key qualifications. Preferred qualifications include experience working with financial institutions, familiarity with machine learning, biometrics, or blockchain technologies, and an MBA or advanced degree in a relevant field. At Experian, we offer a high-performance and driven work environment with opportunities for career growth and international exposure. We believe in investing in our products, people, and continuous learning and development. If you are passionate about solving complex business problems, enjoy working with senior management, and excel in defining objectives and approaches for critical assignments, we invite you to join our team at Experian.,

We are looking for a skilled and experienced L2 Insider Threat- IRM Analyst to join our Cyber Security team at WTW. In this role, you will be investigating Insider Risk Management (IRM) cases escalated by the L1 Insider Threat team, with guidance from the Insider Threat - IRM Operations Manager. Your primary responsibilities will include performing advanced analysis of Insider Threat and IRM cases across various egress channels, interpreting and prioritizing threats using IRM and DLP tools, collaborating with stakeholders during investigations, preparing detailed reports on security incidents, and contributing to the enhancement of detection policies and operational documents. You should have in-depth experience in an L2 IRM/ DLP or Insider Threat Analyst role within a global enterprise organization, along with relevant Microsoft Qualifications for Purview IRM, Defender, and DLP. Proficiency in Purview IRM, Defender, and DLP tools, strong analytical and investigative skills, effective communication abilities, self-motivation, stakeholder management skills, reliability, and proficiency in security tools like Microsoft Sentinel SIEM, EDR, and forensic analysis tools are essential for this role. Additionally, familiarity with Kusto Query Language (KQL) and understanding of data protection laws and industry certifications such as CISSP or CIPP would be beneficial. As an L2 Insider Threat- IRM Analyst, you will play a crucial role in enhancing Insider Risk and IRM policies and standards, coaching and mentoring L1 IRM Analysts, and supporting projects that contribute to the overall security posture of the organization. Your ability to identify trends, patterns, and complex security issues, make informed decisions, and work effectively in a diverse environment will be key to succeeding in this position.,

At Medtronic, you can embark on a life-long career focused on exploration and innovation, all while advocating for healthcare access and equity for everyone. You will play a vital role in fostering a more connected and compassionate world through purpose-driven leadership. As a key member and technical leader in the field of medical device cybersecurity, you will be at the forefront of creating, deploying, and monitoring cybersecurity and information security solutions for Medtronic's medical devices and supporting IT infrastructure. Your responsibilities will include collaborating with external and internal cybersecurity researchers to identify and address vulnerabilities in Medtronic products and systems. Additionally, you will work closely with R&D teams to ensure comprehensive security risk assessments are conducted and appropriate solutions are implemented. You will also be responsible for developing project security management deliverables to comply with regulatory standards and effectively communicate cybersecurity technology to various stakeholders. Your duties may involve, but are not limited to: - Leading and executing cybersecurity-related activities related to products and devices, such as incident response, vulnerability assessments, and mitigation implementation. - Conducting product-level intrusion detection activities. - Performing product risk assessments in coordination with R&D teams and recommending specific security controls. - Participating in the development and testing of product security-related requirements and processes. - Managing security-related deliverables for regulatory bodies to ensure compliance with standards. - Evaluating and testing security risks throughout the development lifecycle. - Supporting emerging cybersecurity certification initiatives. - Maintaining and updating security documentation. - Creating and managing threat models using STRIDE. Requirements: - Bachelor's or graduate degree in computer science, computer engineering, electrical engineering, or a related field. - CISSP or similar certification, or equivalent demonstrated experience. - Experience in embedded devices vulnerability assessment, threat modeling, and risk scoring. - Formal education in cybersecurity and information assurance. - Minimum of 12 years of experience with at least 4 years in technical, cybersecurity-related roles. - Proficiency in security posture analysis, vulnerability assessment, penetration testing, and static code analysis. - Software product development experience and programming skills in languages such as C, C++, Python, Java, .NET, Go, Ruby, or Scala. - Understanding of national and international laws, regulations, and policies related to regulated medical device cybersecurity. - Familiarity with information security practices, risk management processes, cybersecurity principles, and incident response methodologies. In addition to a competitive salary, Medtronic offers a flexible benefits package that supports employees at every stage of their career and life. The company is committed to recognizing and rewarding employee contributions while providing a wide range of resources and compensation plans. Medtronic is a global leader in healthcare technology dedicated to addressing the most pressing health challenges worldwide. The company's mission of alleviating pain, restoring health, and extending life unites a diverse team of over 90,000 passionate individuals. Medtronic's commitment to diversity and innovation drives the team to engineer real solutions for real people, from the R&D lab to the factory floor and beyond.,

Role & responsibilities : Internal rating validation for Corporate, SME, Business Banking, NBFC, MFI, Broker, Bank clients across the bank. Key activities include. Detailed assessment and understanding of credit risk (industry, business, financials, management), credit ratings. Preparation of rating rationale along with rationale for any changes in risk scores Review deviations to the credit policy of the Bank. Recommendations/comments on all proposals placed to Board level credit committee with respect to policy compliance/ portfolio risk/ industry prospects, etc. Decision making along with the stakeholders (Credit/ Business) Effective interaction with business/credit groups across Large Corporates/ Emerging Local Corporates/ NBFCs/ Brokers/ MFIs/ Projects/ Small, Micro Enterprises/ Business Banking Effective resolution of internal audit/ external audit/ RBI queries Periodic review and updating of industry risk scores including assessment for new industries as deemed appropriate. Track latest industry developments by participation in seminars, conferences and client site visits, interactions with clients, rating agencies, industry database providers, Benchmarking of companies within sectors Stakeholder management: Candidate should be able to efficiently manage various stakeholders including senior management from both Credit and Business functions. Define and facilitate the achievement of goals and key performance indicators for direct reports and ensures effective implementation of the performance management process in the division. Nurture talent within the team by providing guidance, ongoing feedback, coaching and development opportunities to individuals to enable achievement of the defined goals. Develop and nurture a continuous talent pipeline for key roles in the division and provides mentoring for high potential talent in the organization. Ensure adherence to process and ability to work within pre-decided TAT Preferred candidate profile : Post qualification experience preferably in business, credit function in Wholesale/Mid Markets segments of a Bank or in Corporate ratings of Credit Rating agency . Strong understanding of finance and accounting concept Ability to identify key characteristics and drivers of diverse sectors/ businesses. Knowledge of risk assessment and control

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

Credit Risk Analyst Digital Lending Job Title : Credit Risk Analyst Digital Lending Location : Chennai, Hyderabad, Bangalore Experience : 1-4 Role Summary: Assess and manage credit risk for digital lending products using data-driven models and financial analysis to ensure portfolio health and regulatory compliance. Key Responsibilities: Analyze borrower profiles, repayment behavior, and creditworthiness. Develop risk scoring models and lending criteria. Monitor loan performance and identify early warning signals. Collaborate with underwriting, product, and compliance teams. Prepare risk reports and support regulatory audits. Qualifications: 35 years in credit risk analysis or financial modelling. Strong analytical skills and proficiency in Excel, SQL, and statistical tools. Experience with digital lending platforms and credit bureau data. Understanding of RBI lending norms and risk management framewor