211 Risk Analytics Jobs - Page 7

About this role Team 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 in both Spanish and English. 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. change SQL to required skill, updated Aladdin Service to ACX #EarlyCareers Our benefits . Our hybrid work model . About BlackRock . 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: www.linkedin.com / 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.

Key Responsibilities This position is for an Associate Director (WRB) with experience in areas of Credit Risk Scorecards and Credit Risk Strategy (cut-off analysis, line assignment et. al) for retail banking / small business lending businesses. The individual will drive delivery (2-3 engagements at any given time) of both Credit Risk Scorecards and associated Credit Risk Strategies (as well as other risk analytics) for all Retail and SME portfolios of Standard Chartered Bank. The individual is expected to be hands-on at all times. Responsibilities include understanding Standard Chartered Group requirements and working with the team in developing statistically derived predictive models, performing decision tree-based customer segmentation and profiling analyses, assisting business implementation of sophisticated risk models and providing analytic support to Standard Chartered Businesses across the globe. The individual is expected to drive timely delivery with assigned resources on an engagement, while ensuring compliance to prevailing / applicable standards / legislation / policies Strategy Strategic mindset Business Retail Business Understanding Processes Process improvement People Talent People manager Lead through example. Set clear expectations from the teams and work in collaboration with all relevant partners. Set and monitor objectives for team members and provide feedback Risk Management Manages risk Governance Adhere to governance Key stakeholders Unsecured and Secured Risk and Business Heads of Countries Head of Scorecards Group Model Validation Model Risk Policy and Governance Model Delivery Management Skills and Experience Leading and owning 1-2 engagements at any given time Ability to explain modelling outputs and inferences to Senior Stakeholder in non-technical manner Need of getting involved in on-the-ground and data activities Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering, MBA or other quantitative discipline At least 4 years of total experience in a retail banking / small business lending analytical function. Hands-on experience of 4 - 6 years, in the past in statistical modeling, mining data and understanding data patterns is an absolute necessary to lead engagements. Past exposure to statistical programming skills in SAS (preferred) or similar tools Experience in directly interacting with Business and exposure to international markets will be a plus Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. 29834

Develop deep knowledge Structured Products (RMBS, CMBS, CLO) & Vichara's platform scope out improvements, mitigate risk, troubleshooting. Create/Monitor Daily Monitoring Dashboards on Power BI and in SQL. Required Candidate profile 5+ years of work exp in investment systems and fixed income asset class & analytics and experience working with loan systems (e.g. WSO, Virtus, iLevel) and or Broadridge Sentry OMS & Geneva

Job Summary As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a member of the Wholesale Portfolio Analytics team, you will be actively engaged in the implementation of extensive industry research and analytics initiatives tailored specifically for the Wholesale Credit Risk organization. Your role will involve conducting in-depth analyses of various industries to provide valuable insights and data-driven recommendations that will enhance our understanding of credit risk within the wholesale sector. By leveraging your expertise, you will contribute to the development of robust analytical frameworks and methodologies that will support informed decision-making and strategic planning within the organization. Job Responsibilities Industry Research Perform industry research using a combination of external and internal data sources. This research is designed to provide a credit perspective on various industries, supporting the organization in making informed credit risk evaluations and strategic decisions. Thematic and Portfolio Research Manage initiatives focused on identifying and analyzing emerging risk trends. This involves synthesizing data and insights to understand the impact of these trends on industry dynamics and credit risk. Develop Industry Models Create and refine models that project financial outcomes based on macroeconomic indicators. These models assist in forecasting industry performance and assessing potential credit risks, allowing for more accurate credit evaluations. Report Writing and Presentation Compile research findings into clear, detailed reports and presentations. Communicate analytical insights to senior management and other stakeholders, ensuring that the implications for credit risk are understood and actionable. Collaborate with Cross-Functional Teams Work with various teams to integrate industry research findings into broader credit risk management processes. This includes collaborating with stakeholders to develop tools and frameworks to manage credit risk. Monitor Industry and Economic Trends Track and evaluate industry developments and macroeconomic trends, updating models and research outputs as necessary to maintain the relevance and accuracy of credit risk assessments. Technical Skills (Optional) Use Python and SQL skills to manage and manipulate large datasets. Additionally, apply Large Language Model (LLM) skills to synthesize information from multiple sources. Required qualifications, capabilities, and skills You have a bachelors or masters degree in Economics, Mathematics, Statistics, Finance, or related fields. You have a proactive approach to identifying opportunities for improvement and innovation in research processes and methodologies. You have 2+ years of relevant work experience in Financial Risk Analytics, Industry Research, or Wholesale Credit Risk Management. You have strong problem-solving abilities with a focus on conducting thorough industry research and analysis. You have attention to detail and the ability to synthesize complex information into clear insights. You have excellent communication skills, both written and verbal, with the ability to present research findings effectively. Preferred qualifications, capabilities, and skills Proficiency in crafting we'll-structured research reports, thought pieces, and trend analyses. This includes the ability to convey complex ideas clearly and concisely, tailoring content to different audiences. Understanding of relevant regulatory and compliance frameworks that impact industry dynamics and credit risk Technical Skills (Optional) - Experience with analytics and data tools such as Python, R, SQL, and other relevant technologies. A desire to leverage modern technologies as a disruptive influence within banking.

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

Job Title: RSKRisk Methodology Group Job Code: 9842 Country: IN City: Mumbai Skill Category: Risk Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Division Overview: The Risk Management Division encompasses the firms comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firms riskreturn profile which ensures the efficient deployment of the firms capital. It is one of the firms core competencies and is independent of the trading areas and operational areas. Business Unit Overview: Credit Risk Analytics (CRA) develops the quantitative methodologies used to measure counterparty credit risk; provides analyses and consultation on credit risk quantification, participates in global efforts on modelling credit risk exposure. This team is responsible for enhancement and methodological support of PRISM, the global counterparty credit exposure measurement system, to accommodate new business needs and maintain compliance with major regulatory standards, including SEC/NFA, PRA and JFSA. To support business/risk managers for live complex structured derivatives transactions. To work on various regulatory requirements including Back testing, Stress Testing, Model reviews, Calibration, User Acceptance Testing, Documentation of models Position Specifications: Corporate Title Associate Functional Title Associate/Senior Associate Experience 4 6 years Qualification Masters in Quantitative discipline (B.E / B. Tech+, M. Tech, MSc (Maths / Stats), Econometrics) Role & Responsibilities: This associate role within CRA Powai will be focusing on carrying out counterparty risk model development and performance review tasks for various Nomura group legal entities including US and EMEA regions. Provide analysis and consultation on credit risk quantification. Work closely with global development teams on implementation of models and systems Work on various regulatory requirements including Back testing, Model Performance reviews, Calibration, User Acceptance Testing, Documentation of models, etc. Implement risk models into strategic risk system (this includes developing methodology, building prototype, writing technical business requirement document, performing model testing, ensure compliance with regulatory requirements and liaising with model validation group). Collaborate with Risk IT in the strategic implementation of various initiatives Participate in periodic model performance review and calibration of model parameters. To aid regulatory reviews and inspections by providing necessary analysis. Mind Set: Domain Sufficient exposure to quantification of counterparty risk and regulatory landscape. Basic understanding of stochastic calculus, Derivative pricing, Monte Carlo Simulation. Proficiency in ExcelVBA/Python Strong verbal and written communication skills Organisational skills, multitasking and detail oriented Delivery focussed with the ability to work well under pressure and meet deadlines under compressed timescales The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.

We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Back testing, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist, Analytic Foundations Enabler stream In this role, you will: Leading and supporting your technology teams to design, develop and manage data engineering pipelines, CI / CD pipelines and infrastructure. Acting as a Infra / DevOps SME on the design and implementation of technology solutions around transformation of systems involved in risk analytics function on a tactical and strategic basis covering number of significant Regulatory and business transformation initiatives in the bank. Closely working with rest of the technology team members, supporting IT teams and architects to drive improvements in product. Leading and supporting day to day interactions with other IT teams / central teams for DevOps and infrastructure support. Growing the technical expertise of engineering community. Helping with designing, maintaining, and improving all aspects of the software delivery lifecycle. Enforcing process discipline and improvements in areas of expertise, such as disciplined agile software delivery, production support processes, or continuous DevOps pipelines development Requirements To be successful in this role, you should meet the following requirements: Over 5 years of experience in platform engineering, SRE responsibilities, and managing distributed/big data infrastructures. Strong hands-on experience with the Hadoop ecosystem, big data pipelines, and Delta Lake. Proven expertise in managing and optimizing Hadoop clusters (Cloudera distribution), including HDFS, YARN, and Spark, as well as working with big data processing tools and frameworks. Solid experience with HDFS, networking, Linux, and DevSecOps tools, including Docker, Kubernetes, and Jenkins. Proficiency in using Docker for containerization and Kubernetes for orchestration to manage large-scale, distributed applications. Hands-on experience in designing and managing large-scale technology projects with exposure to REST API standards and implementation. Expertise in setting up and managing monitoring and logging solutions using tools like Prometheus, Grafana, or Splunk to ensure system reliability and performance. Experience working with multiple IT teams and support teams in various geographical locations globally. Proficient coding skills in Spark (PySpark) and Python, with around 3 years of hands-on experience preferred. Strong knowledge of Infrastructure as Code (IaC) tools such as Terraform, Ansible for automating infrastructure provisioning and management. Experience with GCP or any other cloud platform and data engineering product offering is preferred. Familiarity with agile development methodologies Strong problem-solving skills and attention to detail. Excellent communication and team collaboration skills.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Below are the roles and associated skills we are looking for: Risk Data Analyst Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Knowledge of Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Job Summary: Team: Model Development Associate Consultant/Consultant, is a key member of the Risk Analytics and Data Service Team and Responsible for acting as an individual contributor in the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will act as an owner of the AML transaction monitoring framework and will use data-driven approaches to optimize model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties Responsible to manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic; Perform quantitative analysis, statistical modelling, and machine learning techniques to identify suspicious activity and reduce false positives. Collaborate with model validation and governance teams to ensure compliance with regulatory requirements Work with IT and data teams to ensure the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. Support internal and external audits, regulatory reviews, and model validation documentation. Responsible for interaction with different committees and/or senior management. Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech / M.tech from tier 1 college with MBA in related field Skills Required Strong understanding Data Science and machine learning models. 3+ years of experience in banking and AML/Financial Crime Compliance, with direct experience with Actimize SAM. Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques - experience in model validation a plus Experience in R, Python, SAS. Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment

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

Overall purpose of role The role holder will work both independently and as part of a team to provide expert analysis and commentary on the bank s wholesale credit and counterparty credit risk profile and internal capital assessment. This is an exciting opportunity for someone who wants to work with, Treasury and Capital Management, Trading and Banking teams to understand the risk on wholesale credit risk (WCR), derivative and financing transactions. The areas of focus are: Defining the future state vision for Risk processes and strategic transformation within Risk. Team lead and accountable for the capital adequacy assessments carried out for WCR ICAAPs including the execution, model ownership, outcome analysis and presentation. Making sound risk assessment decisions and comfortably conveying technical analysis to senior stakeholders. Create a control exemplary process and drive improvements and innovation. Transformation of risk analytics processes Team will comprise of capital assessment and stress testing SMEs across Mumbai and London. Key Accountabilities Own and manage end-to-end process to deliver internal capital assessment results for WCR trading book (CCR or Counterparty Credit Risk) and banking book, including computation, review, challenge of results and explanation of movements. Lead the enhancement of analysis generated to support the output of economic capital and Pillar 2 Add-on results. Prepare papers required to support the approvals and governance, including materials for Risk and Treasury Committees. Responsible for independently obtaining approval from Internal model Validation Unit (IVU) for generated results. Identify and/or quantify limitations of existing model suite and propose mitigation, improvements or new model development requirements including model documentation and annual model reviews. Stakeholder Management and Leadership Engage and escalate appropriate issues to local Senior Risk Management. Engage with key stakeholders across Risk, Finance, Treasury and Tech to manage and maintain relationships Share cross-functional experience with a wider variety of stakeholders to achieve better execution of results and improve strategic business decision Be the point of contact as the SME in capital assessments Person Specification Self-motivated, strong team player and experienced team leader Able to priorities and adapt to changing short term requirements, without impacting long term commitments Strong appreciation of the control environment Effective, clear communication skills and a highly analytical mind with a strong attention to detail Essential Skills/Basic Qualifications: Strong track record in risk management (10 years +) Detailed understanding of CCR and WCR models (EEPE, PFE, RWA, LGD, EAD and Economic Capital) and capital calculations; Detailed knowledge of Financial Markets, Wholesale Credit and Derivative Products and strong analytical skills with a high attention to detail Experience in dealing with large and complex data structures and stress testing methodologies Desirable skills/Preferred Qualifications: Related professional qualifications (e.g. FRM, CFA, CQF) Bachelor s degree in Finance, Engineering or a Mathematical or Quantitative related field Regulatory knowledge (CRR, PRA, EBA) Knowledge of econometrics methods used in risk modelling Purpose of the role To support the Risk Function in delivering it s objective of safeguarding the banks financial and operational stability by proactively identifying, assessing, mitigating, and monitoring risks across various business units and activities. Accountabilities Development of strategic direction for risk, including the implementation of up-to-date methodologies and processes. Management of the risk department, including oversight of risk colleagues and their performance, implementation of risk priorities and objectives, oversight of department efficiency and effectiveness. Relationship management of risk stakeholders, including identifying relevant stakeholders, and maintenance of the quality of external third-party services. Adherence to the Risk policy, standards and frameworks, and maintaining a robust control environment. Director Expectations To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide.. They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives. Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function. Escalates breaches of policies / procedure appropriately. Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence. Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate. Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives. Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives. Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations. Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area. Negotiate with and influence stakeholders at a senior level both internally and externally. Act as principal contact point for key clients and counterparts in other functions/ businesses divisions. Mandated as a spokesperson for the function and business division. All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

RRSD Unit faces the Group Risk Function which handles wide spectrum of activities to support the Enterprise Risk Analytics, Traded Risk Management, Risk Compliance Reporting teams of the Group Risk. Group Risk Information (GRI) GRI is primarily responsible to provide a consolidated view across Risk Types, prepare packs for the various committees and timely submissions. To maintain oversight of the Group / Regional risk exposures and for the respective Risk Framework owners (RFOs) / Report owners to highlight material exposure changes to the Risk Committee To produce PowerPoint packs to these Risk Committees with a consolidated overview covering multiple risk verticals based on committee meeting dates. Report Group / Regional Risk Appetite metrics and breaches for all risk verticals. Collation of packs from different Risk units, query management, review challenge the data where required. Key Responsibilities Strategy * Help to ensure appropriate BAU controls being established and deployed effectively in GBS. Help to support new Business requests through Product programmes and Country addendums Help to look for possibilities of leveraging on synergy within the various processes through automation thereby bringing in improvements. Skills and Experience Participate in at least 2 days of volunteering per year Participate in engagement activities Be motivated and actively engage in activities like innovation and automation initiatives To hold assigned roles of First Aider / Fire Warden / ADCC as appropriate and discharge the expected responsibilities. Qualifications Post-Graduation in Finance with relevant 5+ years experience. Risk Certifications from established institutions is preferred. General Skill Set: Strong knowledge in banking products across asset classes (FX/Rates/ Equity/ Credit and Commodities) Strong knowledge in Data Analytics (including ML capabilities) Working knowledge in MS Excel, PowerPoint. Knowledge about Market and Credit Risk. About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 24884

About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

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: Experience in Loss Forecasting , CCAR Reporting, Stress testing or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Expertise in few programming and statistical packages - SAS , SQL Advanced expertise in MS office tools including Excel and Powerpoint Strong analytical and problem-solving skills with keen attention to detail Model review and ability to analyze and challenge model parameters and assumptions Understand business objectives and provide challenge to requirements. Knowledge and understanding of credit risk, loss forecasting, and related governance policies. Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve accuracy. Ensure comprehensive documentation exists supporting the end-to-end data reporting and analysis approach and execution. Understanding of complex databases and ability to navigate and query data effectively. Apply critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality results. Ensure adherence to data management/ model governance regulations and policies. Ensure adherence to compliance and legal regulations and policies on all projects managed Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals. Understanding in Python, Tableau, PowerBI will be an added advantage.

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: Knowledge and understanding of Commercial Banking practices, policies, and procedures. Management experience leading teams of analysts / risk professionals Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Excellent verbal, written, and interpersonal communication skills. Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Ability to develop partnerships and collaborate with other business and functional areas. Understanding of risk management practices, extensive knowledge of financial data Strong communication, interpersonal and leadership abilities. Lead projects individually and come up with solutions with little to no support from anyone. Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in BFSI domain. 2+ years of experience in SQL and big data platforms and one of the visualization tools like Power BI or Tableau. 2+ years of Credit Risk experience. Strong Credit Risk analytics skills and comprehensive understanding of commercial products and risk drivers Ability to design and structure complex data & modeling framework for monitoring and analytical reporting. Ability to lead project teams and coordinate with multiple stakeholders.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. 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, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; 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.

Regulatory Reporting / Credit Risk SAS 3+ years Summary We are seeking a detail-oriented and technically skilled Regulatory Reporting Analyst with strong expertise in SAS, Excel, and VBA. This role involves managing credit risk reporting processes, conducting impairment and stress testing analyses, and ensuring compliance with regulatory standards. Ideal candidates will have experience in the credit risk domain and the ability to optimize and automate large-scale reporting solutions. Location Pune, Bangalore, Gurgaon Your Future Employer A leading global financial institution offering excellent career growth opportunities and a collaborative work environment that values innovation, compliance, and operational excellence. Responsibilities Manage ledger entries and ensure accurate financial data for regulatory submissions. Conduct impairment analysis and provide insights on credit risk exposure. Perform stress testing and forecasting to evaluate risk under various economic scenarios. Optimize, automate, and maintain regulatory reports using SAS and Excel (VBA). Collaborate with internal stakeholders to gather requirements and deliver insightful, compliant reporting solutions. Requirements Minimum 3 years of experience in regulatory reporting, credit risk, or a related analytical domain. Strong hands-on expertise in SAS, Excel, and VBA for data analysis and automation. Sound understanding of credit risk concepts including impairment, forecasting, and stress testing. Excellent analytical thinking and attention to detail in working with large datasets. Bachelor's degree in Finance, Economics, Statistics, or a related field; advanced certifications are a plus. What is in it for you Competitive compensation package up to INR 30 LPA Work on strategic regulatory initiatives within a global setup Exposure to complex datasets and cross-functional collaboration Opportunity to develop domain expertise in credit risk and compliance reporting Fast-paced, performance-driven work culture with global learning opportunities Reach us – If you feel this opportunity is well aligned with your career progression plans, please feel free to reach out to me with your updated profile at radhika.agrawal@crescendogroup.in Disclaimer – Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note – We receive a lot of applications on a daily basis, so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Global’s name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert! Profile Keywords Crescendo Global, Jobs in Mumbai, Jobs for Regulatory Reporting Analyst, Credit Risk Jobs, SAS Reporting Jobs, Financial Analyst Roles, Excel VBA Jobs, Risk Reporting Careers, BFSI Reporting Jobs, Regulatory Compliance Jobs, Analyst Jobs in India, Credit Risk Reporting Jobs

About PhonePe Group: PhonePe is Indias 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! Risk Analyst Roles and Responsibilities:- You will work with data to understand patterns and anti-patterns to determine risk activity ranging from fraud, AML, identity theft, KYC and non-compliant activity per RBI, company policies. You are responsible for defining, developing and communicating key metrics that need to be monitored, to infer risky activity with respect to businesses, category, products, merchants etc. You model data and quantitatively analyze that translates data into actionable insights and can contribute to decision making with your stakeholders, keeping PhonePe principles and customer interest as sacrosanct. Analyze data to recommend anti-fraud processes for changing transaction patterns and trends. Provide support to cross functional teams in their ad-hoc risk analytics requests. Work closely with Engineering, Product, Operations & Business teams to develop fraud risk solutions. Skills and Qualifications:- Bachelors in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 1-2 years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like SAS, Python, R. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. 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 .

Develop deep knowledge Structured Products (RMBS, CMBS, CLO) & Vichara's platform scope out improvements, mitigate risk, troubleshooting. Create/Monitor Daily Monitoring Dashboards on Power BI and in SQL. Required Candidate profile 5+ years of work exp in financial services with a strong understanding of fixed income asset class & analytics. Good experience working with Business & technology team. Strong in SQL, Advanced Excel.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, we"™ve got quite a lot to offer. How about you? We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow"™s idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! We"™ve got quite a lot to offer. How about you? Required Experience: We seek a graduate with at least 2 years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #LI-EDA #LI-Hybrid

Basic Section No. Of Openings 1 External Title Field Risk Officer Employment Type Permanent Employment Category Field Closing Date 08 Jun 2025 Organisational Entity Equitas Small Finance Bank Business Unit Assets Division/Function (SBU) Risk Containment Unit Department RCU - EEB Sub-Department RCU - EEB Generic Role Field Risk Officer External Title (Job Role) Field Risk Officer Division Risk Containment Unit Zone West State Maharashtra Region Maharashtra Area Mumbai Cluster Mumbai PT Location Maharashtra Branch Code 9140 Branch Name Kalyan Skills Skill Risk & Quality Risk Analytics Highest Education B.Sc Working Language Marathi Hindi English About The Role Ensure regular filed visit to customer sourced by the branches Raise incident reports on the field visit done Ensure member Audit ,Center audit & Center meeting audit. Retail customer audit & risk property assessment Regular Branch visit to be done Resolution of gaps discrepancies identified as part of risk activity (Policy & process deviations) Identify the process & policy Gaps and ensure the same are plugged to avoid such incident dont repeat in future. Loan disbursement audit & cash audit FRO activity sheet to be followed regularly Regularly field visit to be done for risk identification.

Join us as a Risk Analytics Lead Analyst If you have an analytical mindset and a keen eye for detail, this could be the ideal role for you You ll follow structured processes in order to analyse business risk profiles and decisions with reference to regulatory and risk policy requirements Hone your analytical skills and take on this collaborative role which offers excellent opportunities for progression Were offering this role at associate level What youll do As a Lead Analyst, you ll prepare written communications that share an understanding of the regulatory and risk policy requirements for a given business activity. You ll conduct quantitative analysis using authorised tools and includes the preparation of quantitative information for inclusion in management, regulatory and other external reporting. Additionally, you ll be: Supporting governance and control activities including deliverables tracking for meeting minutes and maintaining MI for incident management Supporting the delivery of change initiatives that enhance the efficiency or effectiveness of analytical output Providing clear and well presented analysis Supporting the delivery of all milestones to within agreed dates, budget and quality standards The skills youll need To be successful in this role, you ll need banking or financial services experience along with knowledge of risk systems, methodologies and processes in a retail or wholesale banking environment. We expect you to be qualified to degree level in a numerate discipline and bring experience in data driven analysis. You ll also need: Broad analytical skills Good interpersonal skills The ability to work as part of a team, share ideas and learn from others