8 Risk Models Jobs

About BNP Paribas India Solutions: Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Unions leading bank with an international reach. With delivery centers located in Bengaluru, Chennai, and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions, and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10,000 employees to provide support and develop best-in-class solutions. About BNP Paribas Group: BNP Paribas is the European Unions leading bank and a key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Groups commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates, and institutional clients) to realize their projects through solutions spanning financing, investment, savings, and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future while ensuring the Group's performance and stability. Commitment to Diversity and Inclusion About Business line/Function: Prime Services leverages the banks experienced global team with in-depth market knowledge to provide execution, clearing, and financing solutions across asset classes to both Institutional and Hedge fund clients. Job Title: Associate Level-1/Senior Associate Department: Global Markets Quantitative Research Location: Mumbai Business Line / Function: GMQR Prime Services Position: Purpose Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York, and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Prime Services is in charge of providing expert solutions to the Equity Prime Services suite of businesses for both trading / client-facing activities and internal cost optimization. It covers modeling of rates, client analytics, stock loan automation/optimization, funding/resource optimization, inventory management, and Delta One basket pricing. The teams develop sophisticated models and put in place the infrastructure and the technology to develop, support, and optimize the activity and facilitate trading. Responsibilities: Within GMQR Prime Services, the role focuses on all areas of the Prime Service business ranging from client pricing, stock loan automation/pricing, funding & resource optimization, inventory management, and Delta One pricing. This is a front office Associate quantitative research role. - Participate in global research on various aspects of pricing of Cash PB, Synthetic TRS, and Baskets - Contribute to the design and development of Inventory Management tools. - Development of a variety of models to estimate factors such as inventory depletion, short interest, etc. - Support the legacy suite of applications (primarily Python) and contribute to the design and build of both tactical and strategic future solutions. - Understand legacy processes written in C# - Ability to understand technologies used for real-time solutions: messaging queues etc and also the ability to build robust solutions that can communicate/interact with critical IT processes. - Support the Stock Loan and Funding desks by performing advanced analysis on a daily basis. - Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT, and Market Risk) and Research globally and also develop relations with various stakeholders. Technical & Behavioral Competencies: 1. Graduate degree in mathematics or engineering with strong analytical skills. Knowledge of finance is a bonus. 2. Strong analytical skills and technical background in mathematics, computer science, or finance. 3. Strong and demonstrable prior programming experience in Python. 4. Basic knowledge of C# 5. Basic of CI/CD pipelines, Kubernetes, Docker 6. Knowledge of statistics as well as optimization algorithms. 7. Effective communication skills, ability, and willingness to engage the business 8. Delivery focused and willingness to collaborate with other teams. 9. Familiarity with Financing business (Stock Loan, Funding, Delta One) is not necessary but a huge plus Education Level: Bachelor's Degree or equivalent Experience: At least 2 years,

In this role, you will have the opportunity to develop underwriting strategies for merchant lending based on existing data within the organization's ecosystem and explore alternate data sources. Your responsibilities will include: - Demonstrating functional expertise with hands-on experience in secured lending. - Assessing balance sheets and commercial underwriting. - Early assessment of segment-level loss rates and taking quick action. - Having a detailed understanding of in-house systems and being agile in changing legacy systems when necessary. - Collaborating with teams such as Data Science, Product, Business to establish and monitor underwriting strategies. - Taking portfolio actions based on offus behavior triggers from bureau or alternate data sources. - Monitoring implemented strategies to continuously assess business and risk impact. Your interaction will involve collaborating with teams such as Data Science, Product, Technology, and Business. You should have a hands-on approach to risk segmentation and proactively assess risks in the portfolio to make a positive impact. A curious mind and the ability to evaluate acquisition and portfolio level risks are essential. Some challenges and decisions you will face include constant identification of changes that need to be initiated and assessing their impact on business and risk. Qualifications and Experience: - 4+ years of Risk Analytics or Portfolio Management experience in Financial Services/Secured lending. Skills required for this role include hands-on experience in defining risk strategies, managing portfolios, building risk models and policies, as well as problem-solving and analytical thinking abilities.,

Kshema General Insurance Limited (Kshema) was established in 2018 and is India's only Digital Agri Insurance Company catering to farmers/cultivators in the Agriculture Sectors. Kshema enables cultivators with resilience from financial distress due to extreme climate events and perils through localised insurance products. Kshema is leveraging Technology to provide cutting edge insurance solutions to farmers. Kshema has a pan India presence with more than 500+ employees on roles along with 500+ employees as contractors. Required Knowledge & Experience: Looking for a Minimum of 12 years of relevant experience. Understanding of financial risk management, hedging strategies and knowledge of ALM. To develop a financial risk management framework/strategy as per company's business objectives and risk appetite. To develop, improve, and update financial risk appetite, policies, and tolerances as per changing business/market dynamics. To work collaboratively with the senior management team and credibly challenge strategies/policies based on independent risk assessments/inputs to facilitate risk-based decision-making. To conduct research/statistical analysis to assess the frequency and severity of risk events through stress testing, sensitivity analysis, etc. To develop, calibrate, and run high-quality risk models for quantification and assessment of risk. To identify material changes in risk profile proactively and emerging risks. To perform financial risk reviews for Market and Credit risk. To ensure ALM risk management - liquidity risk and interest rate risk. To ensure the execution of hedging strategies and monitoring their effectiveness continuously. To use a sound understanding of derivative instruments for the creation of hedging strategies. To monitor/analyze key financial matrices and assess the potential impact of changes in them on the company's financial strength. To develop and document the risk methodology and policies/procedures. To ensure continuous improvement in risk management framework and monitoring tools. Requirements: Educational Qualification: Preferred MBA with engineering background/CA. Certifications: FRM/IRM.,

As a Quant Analyst at AVP level in Mumbai, India, you will be a part of the Strategic Analytics team at Deutsche Bank. The team plays a crucial role in developing quantitative analytics, modelling, pricing, and risk management solutions for various units of the bank, including Investment Bank, Corporate Bank, and Risk and Control functions. Your primary responsibility will be to develop complex processes, frameworks, and risk analysis models, as well as enhance existing frameworks to measure market risks across the bank. You will work on converting business problems into manageable statements, gather information from stakeholders, design automated solutions, and develop databases and applications for implementation. Your key skills should include at least 4 years of experience in Python/C++ programming, a good understanding of OOPs programming concepts, experience in pulling data from various market sources, and strong communication and analytical skills. A strong educational background in Engineering/Science, Economics, Statistics, or related discipline is preferred, along with knowledge of financial instruments, pricing models, and risk models. Deutsche Bank offers a range of benefits including a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit, sponsorship for industry certifications, employee assistance program, comprehensive insurance coverage, and health screenings. You will also receive training, coaching, and support to excel in your career within a culture of continuous learning and collaboration. As part of the Strategic Analytics team, you will ensure the consistency in analytics and technology platforms to prevent arbitrage within the bank and optimize resource allocation. Your role will involve constant awareness of key market risks, communication with senior management and stakeholders, and remediation of regulatory findings. If you are someone who can work independently, handle pressure, and continuously advance your skills, this role offers a rewarding opportunity to contribute to the growth and success of Deutsche Bank. Apply now and be a part of a culture that values responsibility, commercial thinking, initiative, and collaboration.,

Join us as an Assistant Vice President (AVP) - Trade Wind Down at Barclays, where you will lead the evolution of the digital landscape, driving innovation and excellence. You will utilize cutting-edge technology to transform our digital offerings, ensuring unparalleled customer experiences. In this role, you will support model owners in drafting and updating model documentation, monitoring models, executing controls, addressing queries from the model validation team, and ensuring compliance with standards related to model risk management and the Trading Wind Down programme. Additionally, you will oversee an effective review and challenge process for model methodologies and outputs. As an AVP - Trade Wind Down, you will coordinate TWD execution activities, interact with various Subject Matter Experts, and manage project aspects of TWD. The ideal candidate will possess a solid understanding of financial markets and instruments, experience in owning finance or risk models, and strong analytical and problem-solving skills. This position, based in Chennai, will involve working closely with stakeholders across Finance, Treasury, Risk, and other areas. You will be responsible for developing and evaluating resolution strategies for distressed entities, maintaining recovery and resolution plans, analyzing financial data, overseeing Barclays Financial Crisis Management Framework, and ensuring compliance with regulatory requirements. As an AVP, you are expected to advise and influence decision-making, contribute to policy development, lead a team, set objectives, coach employees, and collaborate with other functions. You will also consult on complex issues, identify ways to mitigate risk, communicate complex information, and influence stakeholders to achieve outcomes. All colleagues at Barclays are expected to demonstrate the values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

The responsibilities for this role will include: - Conducting early assessment of segment level loss rates and taking prompt action on the segments. - Launching challenger segments and quantifying the expected benefit and loss from the same. - Having exposure to unsecured and secured lending. - Maintaining close interaction with the Product team for recommending changes in policies or workflows. - Demonstrating a detailed understanding of in-house systems and the ability to adapt legacy systems as needed. - Collaborating with teams such as Data Science, Product, and Business to establish and monitor underwriting strategies. - Taking portfolio action through offus behavior from bureau/alternate data triggers. - Monitoring implemented strategies to continuously assess business and risk impact. - Promoting a self-service culture by understanding trends and behaviors in Risk reporting and driving appropriate enhancements to maximize the utilization of reporting and analytics toolsets. - Effectively navigating complex problems and ensuring systematic problem-solving where risk issues are analyzed, options evaluated, and decisions aligned with BharatPe Values. In terms of interaction, the role involves collaborating with teams like Data Science, Product, Technology, and Business. The position requires a hands-on approach to risk segmentation and proactive risk assessment in the portfolio. The ideal candidate should possess a curious mind and the ability to assess acquisition and portfolio level risks. They should be able to constantly identify changes to be initiated and evaluate their impact on business and risk. Qualifications and Experience: - Minimum of 7 years of Risk Analytics or Portfolio Management experience in Financial Services/Fintech, preferably in Credit Card/Unsecured Loan. Skills and Know-how: - Hands-on experience in defining risk strategies, managing portfolios, and building risk models and policies, with strong problem-solving and analytical thinking skills. Behaviors: - A Growth & Tech-first Mindset, demonstrating aggressiveness, a 10x approach, and a focus on building for scale. - Proficiency in quantitative analysis, data mining, trend analysis, and creating insights within large data ecosystems. Proficiency in data tools like SQL/Python. - Experience with Alternate data alongside Bureau Data Management and designing Risk Strategies using the same. - Effective communication and Stakeholder management skills, with the ability to present viewpoints cogently and engage effectively with stakeholders ranging from external partners to CXOs.,

You will be part of a mission-driven team in the finance industry, focused on driving financial inclusion for underserved individuals across credit, savings, and financial needs. Your role will involve leveraging cutting-edge credit/fraud strategy in a Big Data environment, delivering projects independently, and innovating digital lending products through new customer segments and data sources. Your responsibilities will include building credit strategies, tracking Portfolio MIS, maintaining collection MIS, and collaborating with product and customer success teams for testing and implementation. You should have a process-oriented mindset to maximize operational efficiency, stakeholder management skills, and a willingness to adapt to the dynamic needs of a startup environment. To succeed in this role, you should have 1-3 years of relevant experience, strong analytical skills, proficiency in SQL/Pyspark SQL, hands-on experience in data cleaning and feature creation using Python/Pyspark, and a strong entrepreneurial drive. If you are passionate about analytics, thrive in a fast-paced environment, and are eager to make a meaningful impact in financial inclusion, we welcome you to join our team.,

*Designing & developing a risk management framework. *Develop a risk management culture. *Develop various models & report matrices for tracking risk. *Co-ordination with various industry stakeholders, group companies & regulators Package: 55-65 LPA