604 Risk Analytics Jobs - Page 5

What Will Your Day Look Like Risk Strategy & Leadership Lead a dynamic team in delivering high-impact risk solutions across credit risk domains including underwriting, exposure controls, and line management Collaborate with cross-functional stakeholders across product, data science, and engineering to drive implementation of risk strategies Build and maintain strong relationships with internal and partner teams for smooth execution of risk initiatives Data-Driven Decisioning Analyze credit loss trends, simulate risk strategies, and recommend improvements to optimize revenue and approval rates Recommend and support deployment of credit risk decisioning and scoring models in collaboration with data science teams Build risk scorecards leveraging both internal and external data for use in underwriting and account reviews Execution & Communication Manage timelines and ensure on-time project delivery under tight deadlines Identify and evaluate new data sources for improved credit risk differentiation Develop presentations and reports to communicate strategy and outcomes to leadership and senior stakeholders To Help Us Level Up, You Will Ideally Have Quantitative degree in Engineering, Statistics, Mathematics, Economics, Business, or related fields 5+ years of experience analyzing data using SQL and tools like Python, R, or Databricks in a finance or analytics role 2+ years of experience leading high-performing analytics teams Strong analytical mindset with excellent problem-solving capabilities Experience working with non-traditional data sources (e.g., social media) is a plus Prior credit risk model building experience is beneficial but not mandatory Exceptional attention to detail and ability to multitask in a fast-paced, ambiguous environment Excellent communication and stakeholder management skills Proactive communicator with strong awareness of risk and fraud

The Associate Director in the Corporate ERC Data Analytics and Insights team will partner with ERC process owners and colleagues across countries to enhance operational oversight and strategic decision-making through data and insights. You will play a crucial role in formulating an integrated analytical approach by engaging in data discovery, building data pipelines, connecting databases, and uncovering actionable insights through descriptive and advanced analytics methods, including statistical analysis, AI, machine learning models, and GenAI solutions. In this role, you will collaborate closely with process owners and ERC analytical product users to comprehend their complex compliance priorities, enabling them to make informed decisions based on data-driven insights. Working alongside data engineers, data scientists, business analysts, UX designers, and developers, you will contribute to creating actionable insights published on products like Control Room and Control Tower for various ERC personas. Additionally, you will conceptualize, design, and develop data science projects and proof of concepts that address prioritized ERC use cases. As the Associate Director, you will drive data-driven innovation within the team and support operational excellence through simplification and automation initiatives. Furthermore, you will be instrumental in fostering a data-driven decision-making culture by providing coaching, mentoring, and introducing industry best practices and external perspectives to the team. To be successful in this role, you must possess a Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering, with a preference for an MBA from a reputed institute. You should have at least 15 years of experience in Data Analytics or related fields, with a strong background in generating insights for senior management and developing statistical models to address business challenges. Experience in Risk or Compliance Analytics within the Pharma or Life Sciences industry would be advantageous. Demonstrated proficiency in designing and delivering insights using tools such as AWS, Snowflake, Databricks, and Python libraries for industrialized analytics solutions is essential, along with experience in leveraging statistical models, AI/ML techniques, and GenAI. You should also have a proven track record of utilizing web analytics tools like Google Analytics to derive user insights for identifying improvement opportunities. In addition, you should be adept at collaborating with a multi-functional and multi-national team within a matrix environment. Your ability to identify trends, patterns, and anomalies in data to inform strategic decisions and enhance user experience will be critical. Strong analytical skills, proficiency in data visualization tools such as Power BI and Web-mashup, and excellent communication skills to present data insights to non-technical stakeholders are also essential for this role. Novartis offers a collaborative environment where smart, passionate individuals like you can make a meaningful impact on patients" lives. By joining Novartis, you will have the opportunity to collaborate, support, and inspire each other to achieve breakthroughs that positively impact patients. If you are ready to contribute to creating a brighter future together, we invite you to explore career opportunities at Novartis. If this role does not align with your career aspirations, you can join our Novartis Network by signing up for our talent community. By doing so, you will stay connected and be informed about suitable career opportunities as soon as they arise. To learn more about the benefits and rewards of working at Novartis, you can refer to our handbook, which outlines the various ways in which we support your personal and professional growth: [Novartis Benefits and Rewards Handbook](https://www.novartis.com/careers/benefits-rewards),

As an Analyst Fraud Risk at Visa, you will be part of the VCA Risk Advisory Practice team responsible for delivering Risk advisory services to Visas clients across Credit Risk and Fraud Risk. Reporting to the Senior Manager Fraud Risk, India Hub, you will contribute to the delivery of Fraud Risk advisory engagements. Your expertise in Fraud Risk functional domain and risk analytics gained as a Risk practitioner and/or data scientist will be utilized to unlock business value. Your key responsibilities will include contributing to Fraud Risk Managed Services and advisory engagements across Asia Pacific, collaborating with clients to understand business problems and outcomes, delivering multiple projects within timelines and budget requirements, maintaining project documentation, and supporting the development of Fraud Risk data-driven solutions. This is a hybrid position, requiring you to work from the office two days a week and accommodate flexible working hours to cater to client and country time zones within the Asia Pacific region. You will play a key role in projects such as Fraud Rule Optimization, Fraud Authentication Rule Optimization, Authorization Optimization, STIP Optimization, and Fraud Risk Prediction/Scoring. To qualify for this role, you should have 5 or more years of work experience with a Bachelors Degree or an Advanced Degree. Preferred qualifications include technical skills such as analytical experience, proficiency in statistical techniques, and experience with data analytics tools. Business skills required include being results-oriented, analytical, a team player, and having strong communication and presentation skills. Visa has adopted a COVID-19 vaccination policy, requiring all employees based in the country where this job is located to be fully vaccinated, unless a reasonable accommodation is approved or as otherwise required by law.,

Sales Operations Monitor pipeline health, reporting, and performance tracking across APAC. Manage licenses and cost-associated tools, ensuring optimal utilization. Support D365 data management and cleansing for accurate performance reporting. Project & Campaign Support Partner with Sales Engagement Leads to drive account planning and campaign success tracking in Dynamics 365. Leverage LinkedIn Sales Navigator to build marketable databases and qualify leads. Manage and distribute leads to ensure timely follow-up and conversion tracking. Contribute to special projects such as APAC newsletters, SOP creation, and investment or market landscape research. Collaboration & Reporting Support stakeholders on strategic research requests and ad-hoc assignments. Provide regular progress updates to the APAC Sales Engagement Leader. Actively support the Client Satisfaction process including NPS survey distribution and data analysis Qualifications Qualifications, Skills, Knowledge & Competencies Qualifications: Must have a Batchelor s degree or sufficient local level qualifications to support suitability for the role Skills: Ability to prioritize tasks and meet deadlines in a fast-paced, multi-project environment. Strong communication skills in English (verbal and written). High attention to detail and accuracy. Capability to work independently and collaboratively across time zones. Tools: CRM Systems: Microsoft Dynamics 365 or Salesforce (mandatory) Prospecting Tools: LinkedIn Sales Navigator (mandatory) Microsoft Office Suite (Excel, PowerPoint, Word) Market & news intelligence tools such as Factiva (advantageous) Competencies: Proactive problem solver with a growth mindset. Team-oriented with strong interpersonal skills. Excellent time management and organizational abilities. Knowledge of data management best practices.

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: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 2-5 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

Basic Qualifications : - Bachelors or Masters degree in, Statistics, Economics, Computer Science, or other Engineering disciplines -3+ 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/Retail lending experience is preferred Key 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 for various co-lending partnerships - Form, manage and execute the policies around risk management for all Co-lending partnerships across products - In conjunction with business team, conduct thorough risk assessments to ensure we onboard the right partners that meet our strategic goals and objectives. - 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 portfolios of different co-lending partners - Work with Product team and engineering team to help implement the Risk strategies - Work with Data science team to effectively provide inputs on the key model variables and optimize 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 help convert them into the analytical solutions

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: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 4-6 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 consumer lending experience is preferred

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: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 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

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 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

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.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting 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.

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.

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

We are seeking a highly analytical and detail-oriented professional to join our unsecured lending strategy and analytics team. The Specialist will be responsible for developing data-driven strategies to optimize product performance,and improve profitability. This role requires strong analytical skills, proficiency in data tools, and a deep understanding of consumer banking products and credit risk. A successful candidate would work as an EXL consultant with a leading US Financial Services Organization on an unsecured lending portfolio. The job will require the consultant to work on: . Support tactical & strategic risk analytics initiatives for US based banks Risk team . Develop risk policy for Point of Sale (POS) lending, Buy-now-pay-later (BNPL), and Credit Card solutions . Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs . Policy analytics to make sure correct customer segments are targeted and acquired . Recommend changes to business strategy and risk management policies . Build reporting/BI frameworks for Risk teams within the organization . Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance . Clearly communicate analysis as presentations to technical & non-technical groups . Develop and maintain effective working relationships with colleagues in other areas of Risk Management. . Summarize analytical findings into presentations and share analysis & reports with senior leadership. . Maintain a high degree of technical and policy understanding with respect to credit risk. . Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met. . Train, coach and develop team members Qualifications: . 4-8 years of experience in Analytics and Decision Science. . Risk Analytics experience: Portfolio analytics, Acquisition and Line Management, Policy audit and analytics, Reporting/Dash-boarding, Performance tracking (should have a knowledge of risk concepts like delinquencies, pre-payments, loss curves etc.) . Past experience in problem solving roles, strategic initiatives etc. . Knowledge in Banking Domain . Hands on work experience in Python, SQL, SAS

Job Title - S&C Global Network - AI - CFO & EV - Treasury & EPM Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Treasury Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Whats In It for You Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What You Would Do in This Role Engagement Execution 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. Practice Enablement Mentor, coach, and guide analysts and consultants. Drive innovations and initiatives to enhance the Practice. Develop thought leadership and disseminate information on emerging trends in EPM, Treasury & Tax. Support sales team efforts by assisting with RFPs, RFI, designing POVs, and GTM collateral. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Good experience with data, analytics, and AI technologies & tools, with a data-native mindset and a deep understanding of statistics for business applications. Must have functional expertise in treasury management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have functional expertise in Enterprise Performance Management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have led teams, driven interactions with senior stakeholders, designed AI-led transformation solutions, overseen program delivery, and value realization. Must be part of prior solutioning and proposal deals. Good to have hands-on experience in building and deployment of AI/ML/Statistical Models -- Statistical Algorithms, Segmentation and Predictive Modeling, ML algorithms, CV / NLP algorithms, Decision Trees, LLM based solutions etc. Good to have experience in multiple industries. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Act as an owner of analytics solutions supported by the Aladdin Data platform Aspire to grow & improve the analytics estate and increase its commercial value Understanding of single security risk models and portfolio risk & return methodologies with a particular focus on Private Markets and alignment with Publics for Whole Portfolio Analysis Be at the forefront of defining the future of Whole Portfolio analytics within Aladdin and through the integration of eFront and Preqin capabilities Be the custodian of analytics (by ensuring completeness, accuracy, and proper governance) Work with analytics & modeling teams to ensure new models meets business requirements and in compliant with our data quality policy Design data quality checks and performance metrics to evaluate data integrity, identify deficiencies, and pinpoint opportunities for analytics model and platform improvements Conduct large scale testing and provide essential results and insights to support the implementation and adoption of Aladdin s quantitative financial models and analytics by users and businesses Provide analytical data and platform expertise to address dynamic business requirements, market developments, regulatory modifications, and newly introduced financial products Collaborate with cross-functional teams to implement new analytics and business solutions, such as private credit analytics and whole portfolio performance and SAA Address complex analytical questions with expertise in models and analytics Establish GOLD standards for Instruction Data, manage client change requests, and update scorecards and reports Mentor and train junior analysts as they build expertise and gain exposure

Support the management and enhancement of analytics data assets within the Aladdin Data platform Assist in building data and analytics solutions tailored to client needs Collaborate with analytics experts to contribute to delivery pipelines, including change management and pattern recognition Conduct technical analyses to understand client usage patterns and identify opportunities for improvement Help develop and maintain analytics governance workflows and change management processes Build understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes Understand evolving model, tools, configurations to contribute to build out of scalable analytics solutions for governance suiting different client needs Understand the analytics derivations & chain end-to-end data/analytics production to pinpoint the governance gap & understand the change Resolve complex analytical enquiries with a keen understanding of analytics and models

Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded in Aladdin Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database WExhibit attention to detail when quality checking Green Package analytics and be accountable for the timely delivery of reports to our clients in accordance with Service Level Agreements Engage in meetings with end-users of Aladdin from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients Support client/user requests related to the Aladdin analytics Be a Student of the Markets by following the global markets daily to understand how macro-economic factors can affect the analytics and portfolios management s risk and investment decisions Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our sophisticated client demands Show desire to work in a constantly evolving, changing and challenging environment Experience 5+ years in financial or technology industry Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spread, Beta and VaR would be an advantage Excellent communication and presentation skills Must possess strong verbal and written communication skills and be able to develop good working relationships with partners Good understanding of SQL to help dive into Aladdin Database for investigations Technical skills (UNIX, Python and PERL) are preferred but not necessary Must be detail orientated, possess initiative and work well under pressure Degree in Finance, Engineering or Technology would be preferred Given that the nature of this role is Finance and Technology (FinTech) centric, we would like candidates who demonstrate an interest in learning these aspects of the job

Act as an owner of analytics data supported by Aladdin Data platform Aspire to grow & improve the analytics data assets and increase their commercial value Lead the build-out of end-to-end data & analytics solutions for client needs Work with analytics experts and researchers to help craft the delivery pipeline including change management, attribution & pattern recognition Build and deliver technical analyses to help better understand the client usages patterns and how our offering can be applied to their business problems Build end-to-end pipelines/PoC s for analytics governance & the change management across analytics estate partnering with various analytics stakeholders to ensure analytics integrity Building GenAI-powered agents and workflows using state-of-the-art LLMs and orchestration frameworks Understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes Develop analytics attribution framework by utilizing data science & AI/ML techniques advancing analytics governance practices Mentor and train junior analysts as they build expertise and gain exposure Experience : Candidates must have a proven history of addressing challenging real-world issues in investment and risk management sectors The individual will be required to utilize their advanced technical and quantitative abilities to build tech & AI based solution aimed at enhancing the analytics estate, scale & client experience 8+ years of experience in the financial services industry in a Data Analytics/Data Science oriented role with knowledge of risk & investment workflows & products Proven track record of working with financial markets, investment and risk analytics, quant/data engineering & technology functions Proven track record to build GenAI powered Agents to solve financial domain problems, and strong expertise in customizing and fine-tuning large language models (LLMs) for domain-specific tasks and performance optimization Proven track to use Agentic-AI & AI tools in technology build process & solution build process for faster iterations & productivity gains Experience in leading cross-functional initiatives, with strong communication skills and project management ability Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment Excellent interpersonal, oral, and written communication skills

Reviewing documents from Carrier (Insurance Companies), post which anticipate revenue Will be interacting with client managers daily to ensure WTW maintains exceptional data integrity within our systems and processes. To work with assigned offices to ensure the data integrity of the documents supplied by the client managers. Policy setup/renew/management in multiple systems basis carrier/third party documents or instructions from client managers/local office. Support the assigned offices by implementing standard guidelines to be followed when requesting SOX documents and information related to policy renewal. Need to maintain expected level of quality. Ensure adherence to compliance & standard procedures

Sound understanding of the business model, the full transactional process, and role interfaces / dependencies within the own business unit and related functions. Ensure adherence to Group policies and procedures. Adherence and manage assigned team fundamental activities in accordance with compliance requirements. Operate within the guidelines of internal and external regulators. Manage critical activities with high levels of accuracy Responsible for Legacy Clearance and achieving results as per business target model. Delivery of the A&S financial targets (Client/Carrier Debt, Cash, Funding, Unsettled Payables, Claims and other deliverables) on the assigned portfolio. Deliverables on the SLA as per the agreed timelines for each process. Ensure adherence to the Willis service standard (Willis Excellence Model). Ensure ongoing, sustainable and dynamic relationships with stakeholders (Internal/external) whilst managing their expectations. Effective management of processes and timescales in accordance with agreed procedures. Prompt and effective escalation of fiduciary issues in accordance with A&S protocols. Understand individual portfolio requirement (KYC) and proactively service a portfolio of accounts in line with existing service model. Qualifications Top 5 Competencies Planning and Organizing Action Oriented Cognitive Ability (Problem solving, Attention to detail) Client Focus (for External stakeholders) and Collaboration (for Internal stakeholders) Adaptability

eam Overview The role sits in Aladdin Client Experience (ACX) within Aladdin Client Business (ACB), which is a centralized group who are responsible for supporting Aladdin clients and BlackRock Internal user services that covers Aladdin data of fixed income, equity, and alternatives products The chapter helps our clients and portfolio managers better understand their portfolio exposures, strategy, and risk & returns Every day, the ACX team tackles the hardest, most sophisticated analytical problems in FinTech We utilize our in-depth understanding of Aladdin, our clients businesses, and the investment management process to provide exceptional client service to our rapidly growing, global client base We all come from varied educational backgrounds, bring unique skills and experiences to the table, but share a serious passion for solving tough problems for our clients, adding value to their business and keeping our clients happy In addition, the team works with Business, Technology and Aladdin Data partners to extend and evolve the data platform This team is a fast paced and exciting environment with team members who all share a curiosity about Finance and Technology Role Responsibility Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded in Aladdin Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database WExhibit attention to detail when quality checking Green Package analytics and be accountable for the timely delivery of reports to our clients in accordance with Service Level Agreements Engage in meetings with end-users of Aladdin from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients Support client/user requests related to the Aladdin analytics Be a Student of the Markets by following the global markets daily to understand how macro-economic factors can affect the analytics and portfolios management s risk and investment decisions Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our sophisticated client demands Show desire to work in a constantly evolving, changing and challenging environment Experience 1-3 years in financial or technology industry Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spread, Beta and VaR would be an advantage Excellent communication and presentation skills Must possess strong verbal and written communication skills and be able to develop good working relationships with partners Good understanding of SQL to help dive into Aladdin Database for investigations Technical skills (UNIX, Python and PERL) are preferred but not necessary Must be detail orientated, possess initiative and work well under pressure Degree in Finance, Engineering or Technology would be preferred Given that the nature of this role is Finance and Technology (FinTech) centric, we would like candidates who demonstrate an interest in learning these aspects of the job This mission would not be possible without our smartest investment the one we make in our employees It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: wwwlinkedincom / company / blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law

About this role: Wells Fargo is seeking a Risk Analytics Consultant In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: CA/CFA/FRM degree or higher in Finance, Accounting, Economics or Business. Experience in one or a combination of the following: analytics, reporting, finance, or accounting. Experience with Product Control function at a large bank. Good understanding of Structured Products business with exposure to structured / exotic derivative products, corresponding risk measures for the purposes of analyzing changes to P&L and providing explanation to the senior management and the regulators Experience working in global teams. Proficient working with complex data, especially associated with trading activities. Advanced desktop skills in MS Office products, especially MS Excel and MS Access and tools like SQL, Tableau, Alteryx, Power BI Experience supporting Trading and Structured Products businesses. Experience researching and resolving P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies - using both Finance and Front Office systems. Job Expectations: Strong interpersonal skills to effectively build and maintain partnership with key stakeholders and partners. Outstanding problem-solving skills. Ability to be agile, flexible and adjust plans quickly to meet changing business needs Ability to perform well under pressure Timely and accurate daily P&L reporting and general ledger reconciliations, primarily for the firm's trading activities. P&L production will include both Comprehensive P&L and clean (risk-based) P&L Research and identify P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies. Month-end close for P&L, and substantiation of balance sheet at a detailed level. Must have strong attention to detail and ability to identify and escalate issues as needed. This role will require close and efficient communication with various groups, including Front Office, Middle Office, Market and Credit Risk, and Group Controllers. Utilize the firm's P&L attribution to validate the reported P&L Track daily asset usage by Legal Entity and LoB Produce and analyze Volcker metrics, where appropriate, to ensure accurate reporting and compliance with this rule. Prepare weekly/monthly management reports/financial highlights. Provide high quality commentary on P&L and balance sheet drivers. Develop a solid understanding of the legal entities on which trading activities are conducted, and ensure the P&L is reported accurately on each entity. Prepare material to support internal/external audit examinations/queries. Ensure compliance with internal guidelines (e.g. COSO controls), and internal and external audit recommendations. Develop and improve upon internal controls through critical evaluation of current environment, with the goal of implementing consistent, industry best practices across the enterprise. Maintain accurate policies and procedures that are up to date and can be easily followed by internal and external audit groups. Posting End Date: 27 Aug 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Integrate adaptation priorities into national climate frameworks, ensuring alignment with the Paris Agreement and national development goals. Conduct Climate Vulnerability and Risk Assessments (CVRAs) across sectors such as agriculture, water, health, biodiversity, and coastal ecosystems Apply climate models and risk analytics to inform strategic planning and prioritization of adaptation responses Identify and size adaptation measures with clear outcomes, implementation timelines, and cost estimates Evaluate techno-commercial feasibility of proposed interventions and map relevant financing sources Support the preparation of funding proposals for climate adaptation, including those targeting GCF, GEF, and other international mechanisms Facilitate inclusive stakeholder consultations, engaging government agencies, civil society, youth, women, and vulnerable groups. Align adaptation strategies with Sustainable Development Goals (SDGs) and national development plans Contribute to the design of Monitoring, Reporting, and Verification (MRV) systems in line with Enhanced Transparency Framework (ETF) requirements Draft technical content for reports, presentations, and policy briefs tailored to diverse audiences Provide policy recommendations that strengthen climate resilience and adaptation integration Collaborate with public and private sector stakeholders to support implementation and resource mobilization Required Qualifications Advanced degree in climate science, environmental studies, sustainable development, natural resource management, or related discipline 5+ years of experience in climate adaptation, resilience planning, or related fields Demonstrated involvement in developing or updating NDCs, LT-LEDS, or NAPs, particularly in developing country contexts Proficiency in conducting CVRAs and translating findings into actionable strategies Experience working with climate models and interpreting risk projections Strong grasp of techno-commercial analysis, cost estimation, and financing pathways Familiarity with climate finance mechanisms such as GCF, GEF, and bilateral donor programs Effective communication, analytical thinking, and facilitation skills. Exposure to UNFCCC reporting processes (BUR, TNC, BTR) is an advantage Add Your Details Were always looking for talented individuals to join our team. Please upload your resume and we ll get in touch if there s a fit.