1172 Probability Jobs - Page 30

As part of game development team, you will be translating game logic into math models, documenting game logic and rules, as well as working with prototypers and/or engineers in resolving analytics discrepancies. your primary responsibility will be creating and validating math models and simulations for Aristocrat slot games delivered on multiple channels (Android, IOS, Facebook) As a core member of the team, you are expected to help the team clear the roadblocks and develop in-depth understanding of game math and design. Roles and Responsibilities: Ability to document the math models well so that game designers can further tune them. A strong attention to detail and a great written communicator is the key The successful candidate will contribute towards high-quality and timely delivery of games, providing solutions to math problems, knowledge sharing, and documentation. Solid expertise with Excel Proficiency with C / C++ /C# or similar object-oriented programming language Strong knowledge in Combinatorics, Probability Theory, and Statistics Ability to create well-documented Excel math models and maintainable programs in C/C++/C+ or comparable language Ability to communicate effectively with game designers and engineers. Experience in creating technical documents and flow charts What We're Looking For 5-7 years of experience required, Strong mathematician with a programming background to create math models and game simulations Work experience with slot game math will be a huge plus Prior experience in the mobile/web gaming industry a plus. Experience of working with product-based companies with Agile Scrum methodologies a plus Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Show more Show less

As part of game development team, you will be translating game logic into math models, documenting game logic and rules, as well as working with prototypers and/or engineers in resolving analytics discrepancies. your primary responsibility will be creating and validating math models and simulations for Aristocrat slot games delivered on multiple channels (Android, IOS, Facebook) As a core member of the team, you are expected to help the team clear the roadblocks and develop in-depth understanding of game math and design. Roles and Responsibilities: Ability to document the math models well so that game designers can further tune them. A strong attention to detail and a great written communicator is the key The successful candidate will contribute towards high-quality and timely delivery of games, providing solutions to math problems, knowledge sharing, and documentation. Solid expertise with Excel Proficiency with C / C++ /C# or similar object-oriented programming language Strong knowledge in Combinatorics, Probability Theory, and Statistics Ability to create well-documented Excel math models and maintainable programs in C/C++/C+ or comparable language Ability to communicate effectively with game designers and engineers. Experience in creating technical documents and flow charts What We're Looking For 2-6 years of experience required, Strong mathematician with a programming background to create math models and game simulations Work experience with slot game math will be a huge plus Prior experience in the mobile/web gaming industry a plus. Experience of working with product-based companies with Agile Scrum methodologies a plus Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Show more Show less

About the Company Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern for Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence. About the Internship: As a debt investment banking intern, you will work on cutting-edge projects involving Debt Investment Banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas. It is a high-impact, portfolio-building opportunity that provides valuable industry experience. Key Responsibilities Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Debt Investment Strategies: Compare different investment options, including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds. Risk & Portfolio Management Macaulay & Effective Duration: Assess interest rate risks in structured finance instruments, considering prepayment risk. Interest Rate Risk & Convexity: Quantify bond price sensitivity to market changes. Value at Risk (VaR): Develop machine learning models to estimate portfolio risk. Virtual Risk Analyser: Evaluate AI-driven risk profiling tools for investors. Credit Research & Risk Analysis Credit Research on Sovereign Bonds: Clean and economic data to assess Sovereign risk profile. Probability of Default Modelling: Build AI-driven models to predict corporate bond defaults. Quantitative Finance & AI in Debt Markets Zero-Coupon Yield Curve: Construct and analyse yield curves from market data. AI in Microsoft Excel: Understand tools to enhance financial modelling. Investment Banking & Structured Finance Credit Spread Analysis: Examine spreads between investment-grade and high-yield corporate bonds. Asset-Backed Securities (ABS): Evaluate risks and returns of different ABS types (credit cards, auto loans, etc.). Project Finance Modeling: Determine optimal bond issuance for a solar power project. What You Will Learn: Practical exposure to debt investment banking with multi-functional area experience. Strong analytical and financial modelling skills through simulations. Enhanced presentation and communication skills. Knowledge of AI applications in finance. Who Should Apply? Student of fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, option for 1 month or 2 month (within a period of 4 months provided). Type: Unpaid Show more Show less

About the Company Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model. Responsibilities Conduct data cleaning, wrangling, and pre-processing for financial datasets. Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis. Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation. Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data. Use either one – Python, Excel or R to analyse, visualize, and model financial data. Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization. Who Should Apply? Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions. Strong problem-solving and analytical skills. Able to self-learn and work independently in a remote, flexible environment. Internship Details Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months Timing: Self-paced. Type: Unpaid Show more Show less

About Apziva: Apziva is the leading edtech startup working with professionals from 65+ countries. We help career transitioners break into machine learning and data science roles through our AI Residency program. Our 6-month program offers expert mentoring, career coaching, and job placement support. The Opportunity: Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva’s industry-leading partners. Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we’d love to hear from you. The Apziva AI Residency Program: A remote, flexible opportunity that takes around 6 months. Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience. Participants learn by doing as they work on real projects with a personal mentor. They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice. You: Have at least 4 years of experience solving real-life problems using ML. Have excellent communication skills, especially when providing constructive feedback. Have deep expertise and real-world experience in a wide range of Machine Learning problems. Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning. Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling. Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging. Benefits: Community: Membership in our rich global community of mentors working with top companies. Work: Working with professionals who are eager to learn by doing. Compensation: Receive a monthly per-mentee honorarium. Work-Life Balance: Flexible work schedule and no commute means more time for personal life, reducing stress and improving overall well-being. Location Independence: You have the freedom to live wherever you choose, leading to a higher quality of life and lower living costs. Reduced Expenses: Remote work saves on commuting, work attire, and dining out, positively impacting personal finances. Professional Development: We prioritize growth by providing access to training resources and opportunities to learn new tools and technologies regularly, fostering innovation within the organization. Show more Show less

About the Company Zetheta Algorithms Private Limited is a FinTech start-up in India which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role We are seeking a talented and motivated student intern for Fixed Income Analyst Role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for banking. Responsibilities Practical assignments associated to fixed income investment and analysis with simulations in: Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Compare investment options such as corporate bonds, fixed deposits, and mutual funds. Quantitative & AI-based Financial Modelling: Develop financial models in Excel, Python, or R to assess risk and return metrics. Implement AI-driven approaches for analyzing credit risk and probability of default. Work on Value at Risk (VaR) simulations and machine learning models for risk assessment. Debt Market & Credit Research: Analyze corporate bond spreads, relative valuations, and structured finance instruments. Conduct data cleaning and visualization for sovereign credit research and CDS time series data. Assist in the structuring and evaluation of project finance and asset-backed securities. Technology & Automation in Finance: Understand Microsoft Excel AI tools for financial modelling. Develop and test AI models for credit derivatives and portfolio risk assessment. Work on FinTech tools like Virtual Risk Analyser and Virtual Portfolio Analyser. Qualifications A student from any academic discipline. Internship Details • Duration: Self paced with option of 1, 2, 3 or 4 months) • Type: Unpaid Show more Show less

As Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred. Job Types: Full-time, Permanent Pay: ₹668,717.16 - ₹1,944,863.46 per year Benefits: Flexible schedule Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Naranpura, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI/ML: 3 years (Required) Work Location: In person

Join us as a " Quant Analytics Wholesale Credit Risk Modeller “ at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets. To be successful as a Quant Analytics Wholesale Credit Risk Modeller you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc.) Preferable language is Python, C/C++. You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), Experience in IFRS9/CECL/ CCAR can also be considered You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book). This role is based out of Mumbai. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People 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. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Position Overview Job Title: ITAO – Associate Location: Pune, India Role Description ITAO is the custodian of the application and is responsible to apply and enable during Life-Cycle of the application the IT policies and procedures with specific consideration to IT management and Information Security. The ITAO ensures a clear separation of the responsibility within the project, aimed at achieving a safe and secure running of the application and compliance to regulations, policies and standards. ITAO is responsible for application documentation, application infrastructure reliability and compliance, and is usually the IT SPOC for audit initiatives. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Strategy & Architecture Enterprise IT governance: Reviews current and proposed information systems for compliance with the organisation's obligations (including legislation, regulatory, contractual and agreed standards/policies) and adherence to overall strategy. Provides specialist advice to those accountable for governance to correct compliance issues. Cloud Security & Governance : Migration on Cloud from on-prem setup end to end with ensuring application/infrastructure and Data Security Information security: Communicates information security risks and issues to business managers and others. Performs basic risk assessments for small information systems. Contributes to vulnerability assessments. Applies and maintains specific security controls as required by organisational policy and local risk assessments. Investigates suspected attacks. Responds to security breaches in line with security policy and records the incidents and action taken. Information content publishing: Understands technical publication concepts, tools and methods and the way in which these are used. Uses agreed procedures to publish content. Obtains and analyses usage data and presents it effectively. Understands, and applies principles of usability and accessibility to published information. Specialist advice: Actively maintains knowledge in one or more identifiable specialisms. Provides detailed and specific advice regarding the application of their specialism(s) to the organisation's planning and operations. Recognises and identifies the boundaries of their own specialist knowledge. Collaborates with other specialists, where appropriate, to ensure advice given is appropriate to the needs of the organisation. Knowledge management: Maintains knowledge management systems and content to meet business needs. Supports others to enable them to complete knowledge management activities and form knowledge management habits. Reports on progress of knowledge management activities. Configures and develops knowledge management systems and standards. Supports changes to work practices to support capture and use of knowledge. Business risk management: Investigates and reports on hazards and potential risk events within a specific function or business area. Continuity management: Implements and contributes to the development of a continuity management plan. Coordinates the assessment of risks to the availability, integrity and confidentiality of systems that support critical business processes. Coordinates the planning, designing, and testing of maintenance procedures and contingency plans. Data management: Assists in providing accessibility, retrievability, security and protection of data in an ethical manner. Methods and tools: Provides support on the use of existing method and tools. Configures methods and tools within a known context. Creates and updates the documentation of methods and tools. Change and Transformation Requirements definition and management: Assists in the definition and management of requirements. Uses standard techniques to elicit, specify, and document requirements for simple subject areas with clearly-defined boundaries. Assists in the creation of a requirements baseline and in investigating and applying authorised requests for changes to base-lined requirements, in line with change management policy. Delivery and operation Availability management: Contributes to the availability management process and its operation and performs defined availability management tasks. Analyses service and component availability, reliability, maintainability and serviceability. Ensures that services and components meet and continue to meet all of their agreed performance targets and service levels. Implements arrangements for disaster recovery and documents recovery procedures. Conducts testing of recovery procedures. Service acceptance: Engages with project management to confirm that products developed meet the service acceptance criteria and are to the required standard. Feeds into change management processes. Configuration management: Applies tools, techniques and processes to track, log and correct information related to configuration items. Verifies and approves changes ensuring protection of assets and components from unauthorised change, diversion and inappropriate use. Ensures that users comply with identification standards for object types, environments, processes, lifecycles, documentation, versions, formats, baselines, releases and templates. Performs audits to check the accuracy of information and undertakes any necessary corrective action under direction. Asset management: Applies tools, techniques and processes to create and maintain an accurate asset register. Produces reports and analysis to support asset management activities and aid decision making. Change management: Develops implementation plans for complex requests for change. Evaluates risks to the integrity of service environment inherent in proposed implementations (including availability, performance, security and compliance of the business services impacted). Seeks authority for those activities, reviews the effectiveness of change implementation, and suggests improvement to organisational procedures governing change management. Leads the assessment, analysis, development, documentation and implementation of changes based on requests for change. Security administration: Investigates minor security breaches in accordance with established procedures. Assists users in defining their access rights and privileges. Performs non-standard security administration tasks and resolves security administration issues. Application support: Drafts and maintains procedures and documentation for applications support. Manages application enhancements to improve business performance. Advises on application security, licensing, upgrades, backups, and disaster recovery needs. Ensures that all requests for support are dealt with according to set standards and procedures. Problem management: Ensures that appropriate action is taken to anticipate, investigate and resolve problems in systems and services. Ensures that such problems are fully documented within the relevant reporting system(s). Enables development of problem solutions. Coordinates the implementation of agreed remedies and preventative measures. Analyses patterns and trends. Incident management: Ensures that incidents are handled according to agreed procedures. Investigates escalated incidents to responsible service owners and seeks resolution. Facilitates recovery, following resolution of incidents. Ensures that resolved incidents are properly documented and closed. Analyses causes of incidents, and informs service owners in order to minimise probability of recurrence, and contribute to service improvement. Analyses metrics and reports on performance of incident management process. Skills And Quality Quality assurance: Contributes to the collection of evidence and the conduct of formal audits or reviews of activities, processes, data, products or services. Examines records for evidence that appropriate testing and other quality control activities have taken place and determines compliance with organisational directives, standards and procedures. Identifies non-compliances, non-conformances and abnormal occurrences. Conformance review: Collects and collates evidence as part of a formally conducted and planned review of activities, processes, products or services. Examines records as part of specified testing strategies for evidence of compliance with management directives, or the identification of abnormal occurrences. Digital forensics: Contributes to digital forensic investigations. Processes and analyses evidence in line with policy, standards and guidelines and supports production of forensics findings and reports. Relationships and engagement Relationship management: Identifies the communications and relationship needs of stakeholder groups. Translates communications/stakeholder engagement strategies into specific activities and deliverables. Facilitates open communication and discussion between stakeholders, acting as a single point of contact by developing, maintaining and working to stakeholder engagement strategies and plans. Provides informed feedback to assess and promote understanding. Facilitates business decision-making processes. Captures and disseminates technical and business information. Experience/Exposure Autonomy: Works under general direction. Uses discretion in identifying and responding to complex issues and assignments. Receives specific direction, accepts guidance and has work reviewed at agreed milestones. Determines when issues should be escalated to a higher level. Influence : Interacts with and influences colleagues. Has working level contact with customers, suppliers and partners. May supervise others or make decisions which impact the work assigned to individuals or phases of projects. Understands and collaborates on the analysis of user/customer needs and represents this in their work. Complexity: Performs a range of work, sometimes complex and non-routine, in a variety of environments. Applies methodical approach to issue definition and resolution. Knowledge: Has a sound generic, domain and specialist knowledge necessary to perform effectively in the organization typically gained from recognized bodies of knowledge and organizational information. Demonstrates effective application of knowledge. Has an appreciation of the wider business context. Takes action to develop own knowledge. Business skills: Demonstrates effective communication skills. Plans, schedules and monitors own work (and that of others where applicable) competently within limited deadlines and according to relevant legislation, standards and procedures. Contributes fully to the work of teams. Appreciates how own role relates to other roles and to the business of the employer or client. Demonstrates an analytical and systematic approach to issue resolution. Takes the initiative in identifying and negotiating appropriate personal development opportunities. Understands how own role impacts security and demonstrates routine security practice and knowledge required for own work. Cloud Migration and Understanding: Basic Knowledge on IaaS/PaaS/SaaS and migration from different environments to Cloud Your Skills And Experience Experience – 6 to 9 years IT Service Management, IT Governance or IT Project Management background. Excellent communication and presentation skills, highly organized and disciplined. Experienced in working with multiple stakeholders. Ability to create and naturally maintain good business relationships with all stakeholders. Comfortable working in VUCA (Volatility Uncertainty Complexity Ambiguity) and highly dynamic environments. ITAO will typically have a rather limited technical hands on involvement. A high-level understanding on the products/technologies below is welcomed: Databases: mainly Oracle Application/web servers (like J2EE based, especially JBoss, Tomcat, WebLogic Server, Apache) Management of security certificates. Unix servers very basic administration Microservices and SOA Communication and encryption protocols (mainly HTTP(S), SSL) Networking (firewalls, load balancers, etc) High Availability Architecture. Reasonable understanding and relevant experience in Agile-Scrum delivery and main tools (Jira & Confluence); 4-5 years of work experience in IT; 2-3 years project management or application owner experience. Preferable skills: Experience working with distributed development teams; Experience in finance products Experience on Google Cloud Security and Management How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Who we are: Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence. Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital. Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers. If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless. Note: Preferred candidates to be located in Noida, India. You will be required to schedule a portion of your working hours to coincide with our New York-based team, specifically from 9:00 AM to 12:00 PM Eastern Standard Time. Who you are: Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people. Responsibilities : Designing and developing machine learning and deep learning systems Building RAG pipelines with LLMs Building Agentic AI applications Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback Implementing appropriate ML algorithms Orchestration of long running jobs for data extraction Building UIs to test & evaluate results of ML experiments Translate research papers into high-quality, production-ready code Ship code to production frequently Coach and mentor more junior engineers What Success Looks like in 12 months: Built multiple use-cases that are powered by Agentic AI Built models that implement pattern recognition and data extraction Design and implemented a framework for back testing the results of ML experiments You are part of Archipelago’s India based AI team Qualifications: 4+ years experience as a Machine Learning Engineer or similar role Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex) Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost) Knowledge of how to deploy and maintain ML services in a production environment Experience in designing and deploying feature engineering pipelines in production Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Bonus Points: Experience building data ingestion pipelines Experience with vector databases (e.g. qdrant, Pinecone) Familiarity with orchestration frameworks like Luigi or Flyte Familiarity with gradio, streamlit or Dash GOlang and JavaScript is a plus Experience building applications for the insurance industry Benefits: We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance. *All benefits are subject to change at management’s discretion. Show more Show less

Company Description FK - Growth from Knowledge. For over 89 years, we have earned the trust of our clients around the world by solving critical questions in their decision-making process. We fuel their growth by providing a complete understanding of their consumers’ buying behavior, and the dynamics impacting their markets, brands and media trends. In 2023, GfK combined with NIQ, bringing together two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - GfK drives “Growth from Knowledge”. Gfk is seeking a Machine Learning Engineer with hands-on Python experience and proven analytical and problem solving skills. You will be involved with various data engineering aspects - data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will possess strong technical and interpersonal skills, along with certain ML skills. In addition, the candidate will collaborate across multi-functional teams to achieve product milestones as agreed with stakeholders. Job Description Position Description Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality and ensuring it via data cleaning Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Finding available datasets that could be used for training Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Work independently and collaboratively on a multi-disciplined project team in an Agile development environment Be actively involved in the design, development and testing activities for Big data product Provide feedback to development teams on code/architecture optimization Qualifications Required Skills and Experience 5+ years of experience in Machine learning with Devops 5+ years of hands-on experience developing Python ,PySpark Experience with Spark is preferred Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights Familiarity with Azure Databricks or similar Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets 5+ years of experience - Ability to select hardware to run an ML model with the required latency Familiarity with Azure services Proven experience with CI/CD Proven experience with version control ( Github, Bitbucket) Familiarity with Linux OS/concepts Strong written and verbal communication skills Self-motivated and ability to work well in a team Education Bachelor of Science degree from an accredited university Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms Recharge and revitalize with help of wellness plans made for you and your family Plan your future with financial wellness tools Stay relevant and upskill yourself with career development opportunities Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Management Level G Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide. EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Core Duties/Responsibilities: The successful candidate will be responsible for the following: Responsible for risk identification, assessment, control evaluation/testing, reporting and communicating findings across multiple stakeholders. Conduct comprehensive risk assessments based upon reviews of internal processes, systems, and controls. Analyze various sources of information, identify trends and determine the potential impact and probability of risks to the business. Articulating risk severity and working with the business to determine prioritized mitigating strategies to mitigate risk. Determine the design and performance effectiveness of existing controls and identify control opportunities through monitoring and testing. Work with the business to seek tactical and/or strategic solutions to improve control design and performance effectiveness and to reduce risk exposure. Have an understanding of regulatory and compliance requirements for the business. Monitor and analyze reported events and determine how they impact the risk environment within the business. Uphold the Risk Management Policy, Handbook, and related procedures ensuring Group and BRC requirements are being met. Preparing or producing reporting focussed on communicating risk and control performance, policy adherence, making recommendations to various levels of management, and presenting findings in a clear and concise manner. Establishing and strengthening relationships in the business and acting as a trusted point of contact within the BRC team. Grow knowledge of the business and product offering across Shareholder Services. Question the status quo in order to identify issues and improvements Lead/undertake “read-across analysis” taken from internal and external audits or exams and relevant risk related findings across the business. Lead/undertake reviews for existing and potentially new risks, and if deemed necessary, thematic deep dives of risk coverage and effectiveness across the division. Support activity and engage across the 3 Lines of Defense. Govern actions to ensure progression to plan and take suitable action to escalate where actions are not progressing, or activity is not sufficiently demonstrative as effective risk remediation. Assesses evidence and challenge risk remediating actions to ensure risk mitigation activity completed as expected prior to closure. Govern the risk system of record to ensure records meet business requirements. Work closely with the broader BRC team. Foster a positive risk and control culture and contribute to the growth of the business. Skills, Capabilities And Attributes The successful candidate will demonstrate the following experience, skills and behaviours: 5-10 years in the Finance industry and risk management, and an understanding of Shareholder Services preferred. Risk Management experience is a must. Experience in specific risk types is a plus. E.g., Fraud, Data Protection, BCP, etc.) Understanding of risk frameworks, including key concepts (RCSA, Risk Identification, Risk Appetite & Profiling, Risk Metrics/KRIs, etc). Understanding of control frameworks, including control design, standards, testing and performance. Strong analytical and problem-solving skills, including capability to interpret data from various sources. Excellent verbal and written communication skills, with the ability to effectively communicate to diverse recipients. Strong stakeholder development and management skills Ability to interact across the 3 Lines of Defense and other business functions. Ability to manage multiple priorities and deliver risk management activities to established timeframes and at a high standard. Astute problem solver who can identify tactical or strategic solutions. Proven ability to lead and facilitate risk review meetings while setting the benchmark of what “good looks like.” Proficient in Microsoft Office applications (Excel, Word, PPT, etc) and familiar with Risk Management Information Systems. Benefits: Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer: 3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives Business related certification expense reimbursement Comprehensive Medical Assurance coverage for dependents & Parents Cab transport for staff working in UK & US shift Accidental & Life cover 3 times of concerned CTC We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. Show more Show less

It's about Being What's next. What's in it for you? A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain" At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Team Making an impact. What will you do? You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your tasks Your role includes strong support on replication of existing products and pipelines to other systems and geographies In addition to that you will support in architectural design and defining data requirements for new developments It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts Further, you gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role In addition you have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation Very good English language skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Salesforce Professionals in the following areas : Experience 13-16 Years Job Description Develop and maintain project plans, including schedules, budget, and resource allocation. Identify, manage and mitigate project risks, issues, and dependencies. Manage complex projects, including project planning, execution, and closure. Provide mentorship and guidance to junior and mid-level project managers. Collaborate with cross-functional teams to ensure project success. Ensure project delivery within defined timelines and scope. Establish project management best practices and standards. Identify and implement process improvements to optimize project delivery. Lead project status meetings and provide regular updates to stakeholders. Customer Management Required Technical/ Functional Competencies Specialized knowledge of customers' business domain and technology suite. Use latest technology, communicate effectively, demonstrate leadership, present technical offerings, and proactively suggest solutions. Delivery Management Specialized knowledge of deal modeling, commercial and pricing models. Create an integrated pricing model across service lines. Guide team members to apply pricing techniques. Grow the account, forecast revenues and analyze complex internal reports. Manage at least 1 complex account (>10m) or multiple small account independently. Domain/ Industry Knowledge Specialized knowledge of customers' business processes and relevant technology platform or product. Able to forecast business requirements and market trends, manage project issues, and validate customer strategy roadmap. Change Management Specialized in overcoming resistance to change and helping organizations achieve their Agile goals. Able to guide teams in driving the change management projects or requirements. Product/Technology Knowledge In-depth knowledge of platform/product and associated technologies. Review various product-specific solutions for a specific project/client/organization and conduct product demos, walkthroughs and presentations to prospects if required. Profitability Management In-depth proficiency in profitability and cost management. Can analyze project financial data, identify trends, and proactively address budgetary issues. Have deep understanding of cost drivers and can provide accurate cost forecasts. Look for opportunities to optimize costs and enhance profitability. Project Management Extensive experience in managing projects and can handle complex projects with minimal supervision. Deep understanding of project management concepts and methodologies and can apply them effectively to achieve project goals. Scheduling And Resource Planning Prepare independent global delivery models covering skill levels, skill mix and onsite/offshore work allocation. Create an accurate resource plan for people, space and infrastructure for the given requirements. Forecast people and skill requirements to align with plans. Optimize the schedule for complex projects. Service Support And Maintenance Plan and execute transition for large/ complex activities. Define standards in transition management based on industry trends and contribute to building tools and accelerators for KT process. Optimize resource utilization based on demand from customers. Select and define SLAs; track service levels and analyze impact of SLA on complex processes and deliverables. Risk Management Specialized level of expertise in risk management. Proactively identify risks, assess their probability and impact, and develop comprehensive risk management plans. Effectively communicate risk-related information to stakeholders, recommend appropriate risk response strategies, and monitor risk throughout the project lifecycle to maximize results and meet deadlines. Accountability Required Behavioral Competencies Being a role model for taking initiative and ensuring others take initiative, removing obstacles for others, taking ownership for results and deadlines for self and others, and acting as a role model for being responsible. Collaboration Leads team activities that support collaboration. Determines common goals and shares responsibilities for results; begins to build partnerships across groups. Customer Focus Understands the client, market and economic trends to establish ways of creating value of existing and new customer aligned to organizational imperatives. Vision Alignment Leadership Competencies as Applicable: Create action plan based on Business objectives. Manages all the internal and external issues that may affect the organization's vision, mission and objectives. Leads & directs a strategic planning team to address & outline the future direction of Department. Prioritize the work based on Department’s priority. Demonstrates a "can do" attitude and is willing to stretch self to achieve and exceed defined goals/targets. Decision Making Considers impact on the directly involved parties while making decisions. Knows how to analyze difficulties down to their root. Demonstrated ability to take timely decisions when clear guidelines & process are defined. Takes ownership for and ensures accuracy of own work, meets deadlines, and asks questions about possible gaps to ensure clarity of ownership. Coaching Mindset Actively seeks inputs/feedback from his superior and peers, to identify opportunities for improving his own performance and capability. Works with team to implement the learnings. Change Advocate Considers innovative ideas provided by others. Adapts the change effectively using quality control systems & methods. Implements cutting edge ideas to develop business unit services. Demonstrates the willingness to work through the change transition. Effectively communicates the plan of Change. Certifications At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Show more Show less

Use Your Power for Purpose Pfizer’s Environmental Health and Safety team is essential in upholding the highest safety standards for both patients and colleagues. As a member of this innovative community, you will contribute to delivering excellence, ensuring that Pfizer's medicines reach those who need them most with greater efficiency and safety than ever before. This dedicated team is committed to maintaining superior safety protocols, enabling the swift and secure distribution of our products. By joining us, you become part of a forward-thinking group focused on excellence and innovation, driving the mission to provide safe and effective medicines to patients worldwide. What You Will Achieve In this role, you will: Lead and co-lead high-level projects independently, identifying situations and implementing results. Effectively manage time to meet objectives, forecast, and plan resource requirements for divisional projects. Monitor compliance and Environment, Health & Safety performance, report key metrics, and recommend corrective actions. Assess risks, including their probability, magnitude, and financial impact, and develop cost-effective control alternatives. Provide technical support for site safety and industrial hygiene programs, especially on special capital projects. Interact with Pfizer Legal Groups, including Global Environment, Health & Safety legal, and liaise with regulatory compliance organizations. Offer advice on implementing Pfizer Health & Safety standards, site safety policies, and regulations governing biological safety. Conduct workplace condition assessments to ensure compliance with federal and state occupational safety and health standards. Evaluate the effectiveness of actions taken to prevent personal injuries and provide updates to the site Emergency Plan. Partner with site business functions and external sources to implement improvements, apply skills and discipline knowledge, and make decisions to resolve moderately complex problems. Here Is What You Need (Minimum Requirements) BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high School Diploma (or Equivalent) with at least 10 years of relevant experience Demonstrated working knowledge of local, state, and federal regulatory requirements and guidelines associated with biosafety Prior experience in the biopharmaceutical industry is essential A good understanding of safety and environmental programs and key processes is required Excellent leadership, analysis, judgment, commensurate with position responsibilities, and levels of Pfizer and agency interaction Exceptional interpersonal and negotiation skills Excellent written and communication skills Proficiency in MS Office, including Project Management and Visio Bonus Points If You Have (Preferred Requirements): A Master's degree combined with substantial project management experience Experience managing facility and/or contractor safety programs in a pharmaceutical research or related industry Ability to work effectively in a team environment and independently Strong problem-solving skills and the ability to make decisions in ambiguous situations Experience with regulatory compliance and liaising with regulatory organizations Strong technical support skills for site safety and industrial hygiene programs Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Environmental, Health & Safety #LI-PFE

Job Responsibilities Develop teaching materials including exercises & assignments Conduct classroom training / virtual training Design assessments for various proficiency levels in a given competency Enhance course material & course delivery based on feedback to improve training effectiveness Gather feedback from stakeholders, identify actions based on feedback and implement changes Location: Mysore, Mangalore, Bangalore, Chennai, Pune, Hyderabad, Chandigarh Description of the Profile We are looking for trainers with 7 to 12 years of teaching experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Angular / React, Bootstrap Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, MS Power platforms, MS Dynamics 365 CRM, MS Dynamics 365 ERP, SharePoint Testing – Selenium, Microfocus UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation PEGA, Appian, Camunda, Unqork, UIPath MEAN / MERN stacks Business Intelligence – SQL Server, ETL using SQL Server, Analysis using SQL Server, Enterprise reporting using SQL, Visualization Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization Cybersecurity Infra Security / Identity & Access Management / Application Security / Governance & Risk Compliance / Network Security Mainframe – COBOL, DB2, CICS, JCL Open source – Python, PHP, Unix / Linux, MySQL, Apache, HTML5, CSS3, JavaScript Show more Show less

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some other highly valued skills may include: The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People 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. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies!

About the Role A Senior Machine Learning Engineer is an accomplished expert in designing and deploying advanced machine learning solutions. They possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing performance models, and collaborating with interdisciplinary teams. Senior Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications. Responsibilities Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science. Provide mentorship and guidance to junior machine learning engineers, to review and improve their code, ensuring adherence to coding standards, performance optimization, and maintainability. Helping junior team members enhance their technical skills and overall professional development. Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields. Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes. Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes. Requirements B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world data. Strong programming background, and knowledge of software engineering concepts (OOP, design patterns). Knowledge of machine learning libraries TensorFlow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems is a big plus. Show more Show less

Job Title: Market Maker – Algorithmic Trading Location: Gurgaon Company: 39k Group – India’s Largest Crypto Trading Firm About 39k 39k Group is India’s largest crypto trading firm, running high-frequency strategies across centralized and OTC venues globally. We combine deep market knowledge with low-latency infrastructure to provide continuous liquidity in digital assets — 24/7, around the world. Role Overview We’re hiring a Market Maker to join our algorithmic trading team. This is a hands-on role for someone who is fluent in code, comfortable with risk, and deeply curious about how markets move. You’ll be responsible for managing automated quoting strategies, optimizing inventory and risk, and directly contributing to PnL. What You’ll Do Manage live market making strategies across one or more crypto venues Tune pricing, quoting frequency, and skew parameters based on market conditions Collaborate with quant and infra teams to improve latency, signal quality, and edge Monitor risk metrics in real time — inventory, exposure, volatility, and slippage Use Python, C++, or Rust to write and modify production trading logic Analyze post-trade data to refine strategy performance and execution behavior Think clearly under pressure — especially during volatile or stressed market conditions What We’re Looking For 2–3 years of experience in algo trading, HFT, or systematic market making Strong programming ability in Python and/or C++/Rust Solid grasp of market microstructure , bid-offer dynamics, and execution strategies Understanding of risk-adjusted returns, portfolio exposure, and hedging Clear logical thinking, strong quantitative skills, and good intuition for probability Comfortable working in a 24/7 market environment — with shared ownership and on-call rotation Bonus: Experience with crypto markets, DeFi protocols, or cross-exchange arbitrage Why Join 39k? Run real strategies with live PnL ownership from Day 1 Work with a collaborative team of traders, quants, and engineers — no silos Operate across the global crypto ecosystem: CEXs, RFQs, and OTC Contribute to the firm’s core performance — and grow as a decision-maker, not just a coder Hybrid work setup with performance-linked compensation and rapid decision cycles If you’re an independent thinker who thrives in code, risk, and real-time markets — and you want to make every trade count — we’d love to talk. Show more Show less

Job Description As part of game development team, you will be translating game logic into math models, documenting game logic and rules, as well as working with prototypers and/or engineers in resolving analytics discrepancies. Your primary responsibility will be creating and validating math models and simulations for Aristocrat slot games delivered on multiple channels (Android, IOS, Facebook). As a core member of the team, you are expected to help the team clear the roadblocks and develop in-depth understanding of game math and design. Responsibilities Ability to document the math models well so that game designers can further tune them. A strong attention to detail and a great written communicator is the key. The successful candidate will contribute towards high-quality and timely delivery of games, providing solutions to math problems, knowledge sharing, and documentation. Solid expertise with Excel. Proficiency with C / C++ / C# or similar object-oriented programming language. Strong knowledge in Combinatorics, Probability Theory, and Statistics. Ability to create well-documented Excel math models and maintainable programs in C/C++/C# or comparable language. Ability to communicate effectively with game designers and engineers. Experience in creating technical documents and flow charts. Qualifications 1-5 years of experience required. Strong mathematician with a programming background to create math models and game simulations. Work experience with slot game math will be a huge plus. Prior experience in the mobile/web gaming industry a plus. Experience of working with product-based companies with Agile Scrum methodologies a plus. Required Skills Strong mathematician with programming background. Expertise in Excel. Proficiency in C / C++ / C# or similar languages. Knowledge in Combinatorics, Probability Theory, and Statistics. Effective communication skills. Preferred Skills Experience with slot game math. Prior experience in mobile/web gaming industry. Experience with Agile Scrum methodologies. Show more Show less

Job Title: Subject Matter Expert (SME) Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-Time, Work from OfficeIndustry Type: Education/Training/KPO. Location: Sahastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us:ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Ø Civil Eng. Ø Finance Ø Operations Management Ø Mechanical Eng. Ø Statistics and Probability Ø Electrical Eng. Ø Chemistry Key Responsibilities:· Develop high-quality academic content and solutions.· Solve subject-specific queries and provide detailed explanations.· Review and proofread content for accuracy, Clarity, etc.· Create structured and plagiarism-free solutions.· Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation).· Strong knowledge and expertise in the chosen subject.· Excellent written and verbal communication skills.· Ability to research and provide detailed, step-by-step solutions.· Proficiency in MS Office, MS word & MS Excel.· Prior experience in academic content creation or teaching is a plus. Why Join Us?· Competitive salary and growth opportunities.· Exposure to global academic content development.· A collaborative and learning-driven work environment.· Work with a team of experts in various disciplines. How to Apply:Interested candidates can share their updated resumes at Ayushi@acstechnologies.net Join us and be a part of an innovative and knowledge-driven team at ACS Networks & Technologies Pvt. Ltd. Job Types: Full-time, Permanent Pay: ₹23,500.00 per month Benefits: Health insurance Schedule: Morning shift Night shift Supplemental Pay: Performance bonus Work Location: In person

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some Other Highly Valued Skills May Include The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People 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. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies! Show more Show less

Join us as a " Wholesale Credit Risk/ Counterparty Credit Risk OR Market Risk Assistant Vice President “ at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets. To be successful as a Quant Analytics Wholesale Credit Risk Assistant Vice President you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc.) Preferable language is Python, C/C++. You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), Experience in IFRS9/CECL/ CCAR can also be considered You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book). To be successful as a Quant Analytics Counterparty Credit Risk (CCR) Assistant Vice President you should have experience with: You must have knowledge of the following in CCR – IMM Models, SA-CCR, CVA, BASEL Framework, Monte Carlo Simulation, Exposure / Collateral Modelling, PFE (Potential Future exposure), EPE , EPPE, Derivatives Pricing, Greeks, Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23. SS12/13 etc Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++ etc) Hand on experience in Model Development and/or Model Validation (core development experience preferred) Experience in Stress Testing/Scenarios Modelling), Statistical Modelling (preferably for Wholesale credit book), Regulators and regulatory frameworks, Stakeholders – Model Owners, Audit, Validation To be successful as a Quant Analytics Market Risk Assistant Vice President you should have experience with: You must have knowledge of the following in Market Risk – FRTB – IMA and/or SA, VAR, Expected Shortfall (ES), BASEL Framework, Monte Carlo Simulation, Stress Testing, Exposure Modelling, CVA, Pricing Models, Desk Quants and Strategists, Black-Scholes, Economic Risk Capital, Incremental Risk Charge (IRC), Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/123, SS13/13 etc Experience in Model Development and/or Model Validation (core development experience). Experience in Stress Testing/Scenarios Modelling Statistical Modelling (preferably for Market Risk), Regulators and regulatory frameworks, Stakeholders – Model Owners, Audit, Validation Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++ , R etc This role is based out of Mumbai. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People 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. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less