15 Risk Strategy Jobs

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Home EXL Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others

About the Role: Senior Data Analyst Core Responsibilities: The successful candidate will be responsible for supporting business function teams to analyze and execute ideas and drive initiatives designed to achieve business growth, along with loss mitigation goals. The core responsibilities will include. Orchestrate end-to-end credit-risk analytics: extract bureau + alt-data features, run feature-selection, train models, and then translate those into limit, tenor and approval rules recommendations. Managing Credit risk framework by creating probabilistic loss forecasts using vintagecurve time series progressions, survival-hazard models and Markov chain / Vasicek ECL models. Identification of business opportunities by decomposing acquisition funnels, isolating the reasons for true causal lift through frameworks like T-learner, tree-based segmentation etc. Shape next-gen underwriting stack by crafting strategies for -- score cut-offs, tenor reshaping, limit-increase logic, use of alternate credit data points -- and quantify their P&L impact before rollout Simulate what-if” scenarios and recommend cohort-specific pricing/risk shifts own the data-science storyline in CXOs and board forums, securing green-lights (or kill calls) for high-stakes experiments. Preference and Experience: Working experience as a Data Analyst or Business Data Analyst. Fluency in bureau datapoints, functional knowledge of consumer lending processes (risk/profit economics, RBI digital-lending rules, alternate credit datapoints) Strong command of Python and SQL for large-scale data analysis, plus hands-on experience with any BI dashboards. Knowledge of statistics and experience of using statistical models for analyzing datasets. Able to design experiments, interpret results, and prepare recommendations for C-suite, credit risk teams. Educational Requirements: MBA and a Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline.

About Us. Standard. At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.. About The Role. At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Sr. Risk Analyst to join our GCC Retail Risk Australia team, wwithin our GCC Group Risk division.. Risk is a critical function, with highly valued and innovative teams that enable ANZ to deliver its purpose.. The Retail Credit Risk Department is responsible for the management of credit risk policy, strategy, governance and oversight across the credit lifecycle, balancing customer, shareholder, and regulatory objectives. You will support strategic direction by translating insights into practical business recommendations, communicating team objectives, and presenting data in digestible, logical, and compelling ways.. Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.. Role Type: Permanet. Role Location: Manyata Tech Park, Bengaluru. Work Hours: 7 am to 4 pm. What will your day look like?. As a Senior Risk Analyst, you will:. Deliver on actionable/value-add insights and analyses in support of the decision automation and optimisation journey of Retail Risk. Streamline credit risk strategy, policy, and process for ANZ’s Retail Credit Portfolios. Deliver improved decision automation, low friction and fast outcomes for customers whilst managing ANZ risk appropriately. Utilise analytical techniques, leveraging existing data and system infrastructure, to create more tailored decisions and offers that improve customer and business outcome. End to end delivery of changes from ideation to rollout, coordinating with stakeholders across the business. Engage with Sr. stakeholders across teams and locations in Australia, Manilla and Bengaluru. What will you bring?. To grow and be successful in this role, you will ideally bring the following:. At least five years of technical experience using data tools that require coding skills (such as SAS, SQL, Python, R, etc.). Relevant prior experience working within industries including (but not limited to): financial, professional, or consulting services, utilities, engineering, information/data providers (such as credit bureaux). Collections and Hardship risk prior experience preferred. Excellent attention to detail, operating in a thorough and well-ordered way to produce accurate, complete, consistent, and compliant work. Effective communication skills both written and verbal, with a strong capability to articulate complex analytical information clearly and simply. Can appreciate difficult problems and enjoy getting stuck into the detail, but able to keep an eye on the big picture to keep moving forward. Comfortable being uncomfortable – You are comfortable with uncertainty and can effectively manage yourself through ambiguity and change. Stakeholder management experience, as necessary to enable work to be delivered. Adjust working with Australia time (early start 7AM IST). A critical thinker, with prior experience solving business problems using data, analytics, and technology (systems), combined with complex and analytical thinking skills. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.. So why join us?. From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.. But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.. We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.. At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 97940. Job Posting End Date. 13/06/2025 , 11.59pm, (Indian Standard Time). Show more Show less

Role & responsibilities Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of EPM, Treasury & Tax for Accentures clients. Advise clients on various EPM, Treasury & Tax initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes. Develop and present Proof of Concept for key clients, where applicable. Preferred candidate profile Perks and benefits

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

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.

Job Title: Risk and Compliance Manager Management Level: Manager / Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Experience: 5–12 Years Education: MBA (Finance) from a Tier-1 B-school, or CA/CMA, CFA Certifications (Preferred): FRM, PRM, CFA About the Role Join a Top-Tier Strategy & Consulting Practice , where you will support global clients in building innovative, forward-looking risk management strategies as a Risk and Compliance Manager , where you will support global clients in building innovative, forward-looking risk management strategies. In this role, you will drive consulting projects, partner with deal teams, and help shape the future of risk and compliance across diverse sectors. Key Responsibilities Lead the design and delivery of risk strategy, transformation programs, business cases, and technology solutions in areas such as: Enterprise risk management Portfolio and liquidity risk Market and credit risk modeling Fraud and financial crime risk compliance Advise clients across geographies on risk maturity assessments and regulatory frameworks. Build and manage a pipeline of consulting engagements and business development opportunities. Author thought leadership and whitepapers on emerging risk trends. Collaborate closely with global teams to ensure consistent, high-quality delivery across markets. Contribute to practice development through mentorship, capability building, and knowledge sharing. Must-Have Skills Deep expertise in risk modeling , with hands-on experience in PD, LGD, EAD methodologies. Demonstrated experience in designing and executing credit, market, or liquidity risk frameworks. Proven ability to lead consulting projects or internal risk transformation programs. Strong business acumen with a consultative mindset. Excellent written, verbal, and presentation skills. Familiarity with risk technologies and platforms like Murex, Calypso, SAP HANA, PEGA, JIRA, Bloomberg, etc. Good-to-Have Skills Exposure to areas such as: Credit underwriting frameworks, collections, and counterparty risk FRTB, IBOR transition, stress testing, and capital calculations Risk register development, RCSA, KRI/KCI, fraud analytics Third-party risk consulting and operational risk management Knowledge of regulatory environments in key global markets Experience working with global clients in distributed delivery models Why Join Us Work with G2000 clients on strategic, high-impact projects Collaborate globally with leaders across strategy, tech, and industry Access world-class learning and development opportunities Champion responsible business , inclusion, and equality in everything you do Be part of a culture that supports growth, innovation, and purpose-driven work

About PhonePe Group PhonePe is India s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! What to expect from this role We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog . Life at PhonePe PhonePe in the news

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Role & responsibilities Analyze data and identify trends to develop effective debt management strategies Collaborate with cross-functional teams to implement strategies and monitor their effectiveness Conduct regular reviews of debt collection processes and make recommendations for improvement Monitor and analyze delinquency rates and develop action plans to reduce them Develop and maintain relationships with external agencies and vendors for debt collection Stay updated on industry trends and best practices in debt management and collections Prepare and present reports to senior management on debt management strategies and results Preferred candidate profile Minimum 5 years of experience in debt management or related field Strong understanding of debt collection processes and strategies Excellent analytical and problem-solving skills Ability to work independently and in a team environment Strong communication and interpersonal skills Proficient in Microsoft Office and data analysis tools

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.

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

Roles and Responsibilities Develop credit risk or fraud risk models using Python, 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 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

**** CANDIDATES FROM TIER-1 INSITITUES(IIT, IIIT, NIT/BITS) ONLY MAY APPLY**** Role - Risk Analyst/Sr.Risk Analyst Location- Bengaluru Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications : Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 1-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred Interested, share your CVs on nahida.banu@neweraindia.com