3,011 Risk Professionals jobs in India

About Credit Saison India

Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.
Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.
Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people.
Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact.
Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.
Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil.
Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment.

Key Responsibilities:

 • Collaborate and coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. 

• Execute deep & complex quantitative analyses that translate data into actionable insights 

• Should have a good understanding of various unsecured credit products 

• The ability to clearly and effectively articulate and communicate the results of complex analyses 

• Create a deep-level understanding of the various data sources (Traditional as well as alternative) and optimum use of the same in underwriting. 

• Work with the Data Science team to effectively provide inputs on the key model variables and optimize the cut-off for various risk models 

• Helps to develop credit strategies/monitoring framework across the customer lifecycle (acquisitions, management, fraud, collections, etc.) 

• Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles that are delinquent or working well. 

Basic Qualifications:  

• Bachelors or Master’s degree in, Statistics, Economics, Computer Science, or other Engineering disciplines. 

• 2+ years of experience working in Data science/Risk Analytics/Risk Management with experience in building models/Risk strategies or generating risk insights 

• Proficiency in SQL and other analytical tools/scripting languages such as Python or R is a must

• Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions

• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. Good to have: 

• Exposure to the Fintech industry, preferably digital lending background 

• Exposure to visualization techniques & tools

Key Deliverables :

1. Facilitate workshops for the development of risk appetite statements and metrics.
2. Support the 1st and 2nd line in enhancing the definition, escalation, and reporting of risk appetites and metrics.
3. Collaborate with Data and Technology teams for the calibration of thresholds/limits.
4. Assist in the regular refresh of risk appetites and metrics in line with industry best practices and evolving regulatory requirements.

Role Responsibilities :

1. Drive awareness and management of risk appetite and tolerances across the organization.
2. Provide guidance on the linkage between stress testing results and risk management processes.
3. Support the Risk Appetite and Measurement Director in risk appetite development and implementation.
4. Interact with multiple stakeholders to ensure proper reporting and risk appetite metrics integration.

Roles and Responsibilities:

• Develop credit risk models using SAS, SQL, and statistical techniques to predict defaults, losses, and credit metrics.
• Collaborate with cross-functional teams to implement effective credit risk strategies.
• Conduct stress testing and scenario analysis to identify risks and growth opportunities.
• Provide data insights and recommendations 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, Basel III, CECL, and CCAR within the IFRS9 framework.
• Proficiency in Python, R, or SAS, with an understanding of machine learning algorithms.

Roles and Responsibilities

• Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes.
• Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior.
• Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions.

Desired Candidate Profile

• 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk .
• Strong proficiency in tools like SQL, Advance SQL knowledge preferred.
• Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Job Responsibilities

• Own, maintain and lead the improvement of the stress testing framework, which includes defining shocks across asset classes and risk factors, defining macro scenarios, and analyzing the results of the analysis versus imposed limits.
• Respond to regulatory requests from Federal Reserve Bank (FRB), Office of the Comptroller of the Currency (OCC), Prudential Regulation Authority (PRA) and other Agencies. We are the point of contact for the Market Risk contribution to the Comprehensive Capital Analysis and Review (CCAR) and Risk Appetite of the Firm.
• Understand the assumptions made and the limitations of the methodology and improving the process, documentation and controls.
• Manage the technology that serves as a central repository for stress testing that communicates with systems in each Line of Business. There is a continuous need to improve the infrastructure as stress testing evolves.
• Own, develop and maintain firmwide Market Risk stress testing methodology, including but not limited to shock design, documentation, governance and review.
• Own the asset class FSI shock Qualitative Model (QM) and relevant governance, partnering with asset class experts and Model Risk Governance and Review (MRGR)
• Develop, implement and oversee stress related technology process and controls, including both BAU enhancement and strategic infrastructure.
• Drive the Market Risk stress testing data science and strategic infrastructure initiatives to modernize stress calculation - partnering across teams in Market Risk Management, Quantitative Research, Technology, Product Management and Data Science groups - leveraging the firm s robotics, machine learning and AI programs.
• Manage Trading Issuer Default Loss (IDL) submission for quarterly internal Risk Appetite and external regulatory exercises such as CCAR. Verify, analyze, and interpret Trading IDL calculation inputs and outputs, and perform impact analysis based on methodology and regulatory rules.
• Identify and mitigate operational risks and work towards streamlining and optimizing process efficiency, explain capabilities, and controls
• Collaborate closely with Internal / external control and audit teams to ensure effective risk management practices and support audit processes.

Required qualifications, capabilities, and skills

• Bachelor's degree with Minimum 4 years work experience in the financial industry
• Strong quantitative and analytical background with existing knowledge of financial markets and complex financial product valuation along with a deep understanding of trading strategies / exposures for one asset class; experience across various asset classes.
• Knowledge of risk sensitivities on financial products including Option Greeks and an understanding of financial product valuation and explanation
• Advanced skills in analyzing large datasets using Excel, Tableau or other software
• Prior experience of working with technology teams on risk system enhancements / infrastructure projects and performing user acceptance testing; experience with JPM risk systems.
• Strong control and risk management mindset while still driving process enhancement and improvements
• Proven strong project leadership skills, business writing skills and communication skills to drive initiatives to completion and lead discussions across multiple stakeholder teams

Key Accountabilities and Main Responsibilities

Strategic Focus

• Implement risk management frameworks, policies, standards, and procedures tailored to the business in alignment with Group-level policies.
• Work collaboratively with the business to build and embed a strong risk culture, promoting the Risk as a Mindset approach.
• Identify, assess, and monitor key operational, financial, and compliance risks within the first line of defence.
• Conduct risk assessments to evaluate the impact and likelihood of identified risks.
• Support the business in understanding and adhering to divisional risk appetite and tolerance, enhancing operational resilience across all functions.
• Provide support and challenge to ensure effective risk controls and frameworks are embedded in the business operations as per Risk and Control Self-Assessment (RSCA).
• Collaborate with Line 2 Risk & Compliance, ensuring clear ownership of Line 1 responsibilities while maintaining open communication.

Operational Management

• Day-to-day coordination of risk management across the business, ensuring adherence to the three lines of defence model.
• Lead the incident tracking and management process, ensuring timely escalation and resolution of issues.
• Ensure compliance with AML/KYC and other regulatory obligations, providing clear reporting and oversight
• Track and manage risk mitigation efforts, ensuring alignment with business objectives and deadlines.
• Collaborate with departmental / functional heads on the adequacy of actions to address risks highlighted in internal audit reports and ensure timely completion of risk registers.
• Identify training needs related to risk management and oversee the development of risk competence and awareness across the division.
• Participate in project meetings and provide feedback on business requirement documents and other relevant project documentation.
• Develop and maintain Key Risk Indicators (KRI s) to monitor and report risk exposure.
• Prepare risk reports and dashboards for senior management, highlighting key risk trends and issues.
• Support incident management processes, including root cause analysis and lessons learned.

People Leadership

• Work collaboratively with the wide business to uplift risk capabilities across the organization, ensuring that employees at all levels understand their role in risk management.
• Provide training, coaching, and support to build a proactive risk culture and strengthen the organization s ability to identify, manage, and mitigate risks effectively.
• Foster a culture of accountability where all employees are encouraged to take ownership of risk management activities.
• Manage a team of four risk specialists and guide them with risk assessment process and follow MUFG risk framework
• Participate in a monthly forum to highlight recommendations and implement improvements
• Drive a coaching culture within the team to identify potential risks and build capability.

Experience & Personal Attributes

Educational and Professional Qualifications:

• Bachelor s degree in Business, Finance, Risk Management, or related field. A master s degree is preferred.
• Relevant certifications such as FRM, PRM, or equivalent.
• Minimum of 8 years of experience in risk management or operational risk ideally within a line 1 function primarily from GCC.
• A minimum of three years in Operational/Information/ Technology Risk. Second Line of Defence (SLoD) Risk experience is desirable.
• In-depth understanding of risk management frameworks, policies, and processes.
• Proficiency in risk management tools and techniques.
• Manage a team of four risk specialists and guide them with risk assessment process and follow MUFG risk framework

Personal Attributes:

• Strong analytical, problem-solving and decision-making skills and ability to lead a medium-sized team
• Ability to analyse, resolve and document problems and resolutions. High attention to detail and ability to manage multiple tasks and priorities.
• Ability to work as part of a cross-cultural team.
• Strong organization and time management skills
• Continuous improvement focus, with the ability to identify risks, cost efficiencies, and operational improvements.
• Excellent presentation, communication and interpersonal skills to influence stakeholders and drive risk awareness
• Ability to work independently and take ownership of risk management activities.
• Strong stakeholder management and ability to build effective relationships across business lines.
• Self-driven and motivated with a focus on operational efficiency and continuous improvement
• Experience and ability to effectively communicate and interact with colleagues at all levels in the company, Internal Audit as well as regulators.
• Must be a self-starter, detail-oriented and extremely organized.

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