302 Operations Research Jobs - Page 5

Since our launch in 2015, we ve lent over 10bn to ambitious entrepreneurs up and down the UK. That s led to the creation of over 40,000 new jobs and over 29,000 new homes - and we re not about to stop there. We re dedicated to helping trailblazing businesses thrive and our strong analytics capabilities help us build trust and secure our digital assets and customer data. This is a fantastic opportunity to join a fast-paced, growing bank with a reputation for doing things differently. We don t want another cog in the machine, we re looking for self-starters and bold thinkers who want to pave their own career. In a nutshell this exciting and high-performing role, in the risk analytics team, you will be responsible for statistical model validation and regular monitoring for the credit risk models - PD/LGD/EAD and ICAAP models. You will also be involved in provisioning and stress testing exercise for the bank. Are you ready to step up to the challenge? Responsibilities Ability to independently develop and lead the entire model validation framework at Oaknorth bank Validating and documenting internal credit risk models of ON - PD/LGD/EAD/IFRS9 - one time and quarterly validation both qualitative and quantitative Validating vendor models of the bank, if any Building model validation governance framework as per regulatory requirements Working closely with model development team to understand model build and other business reporting Reporting the findings and suggesting quantitative and qualitative techniques for model enhancement Working with Risk and compliance team within the bank for model validation, working closely with external auditors and third parties to get the validation done Liaising with multiple teams and various business units across the firm for different risk management and stress testing initiatives. Coding in SAS/R/Python to enhance the current models and automating the processes. Analyzing, explaining and documenting the models and their results. Assisting in research, modelling and development for refinement of the current credit risk framework Communicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis. Required Experience: 2 -5 years of relevant experience at a financial institution or a consulting firm, preferably on a Quant/Data Science role in a data-rich environment Preferably Master s degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or Finance, or equivalent Experienced in developing/validating credit risk - PD/LGD/EAD/Stress testing models Experienced in provisioning as per IFRS9 implementation for banks Proficiency in programming and Advanced Statistical Techniques- R/SAS/Python/Advanced excel Analytical thinking, quantitative abilities and problem-solving skills Understanding of risk management concepts like Stress-Testing, regulatory frameworks for Risk Management Attention to detail and ability to prioritize projects and workload Self-motivated team player who brings a can-do approach Ability to work well under pressure in a fast-paced team-oriented environment Strong communication skills; ability to present complex and technical issues clearly, both verbally and in writing FRM/CFA certification or equivalent is a plus About Us We re OakNorth Bank and we embolden entrepreneurs to realise their ambitions, understand their markets, and apply data intelligence to everyday decisions to scale successfully at pace. Banking should be barrier-free. It s a belief at our very core, inspired by our entrepreneurial spirit, driven by the unmet financial needs of millions, and delivered by our data-driven tools. And for those who love helping businesses thrive? Our savings accounts help diversify the high street and create new jobs, all while earning savers some of the highest interest on the market. But we go beyond finance, to empower our people, encourage professional growth and create an environment where everyone can thrive. We strive to create an inclusive and diverse workplace where people can be themselves and succeed. Our story OakNorth Bank was built on the foundations of frustrations with old-school banking. In 2005, when our founders tried to get capital for their data analytics company, the computer said no . Unfortunately, all major banks in the UK were using the same computer - and it was broken. Why was it so difficult for a profitable business with impressive cashflow, retained clients, and clear commercial success to get a loan? The industry was backward-looking and too focused on historic financials, rather than future potential. So, what if there was a bank, founded by entrepreneurs, for entrepreneurs? One that offered a dramatically better borrowing experience for businesses? No more what ifs, OakNorth Bank exists. For more information regarding our Privacy Policy and practices, please visit: https: / / oaknorth.co.uk / legal / privacy-notice / employees-and-visitors /

This position will support the Anomaly Detection Platforms (ADP) team and help drive several of Visa s most important and high-visibility fraud deterrence and compliance enablement projects within Global Risk team at Visa. This fast-paced team of technology experts identifies, investigates, disrupts and prevents compliance breaches and fraud attacks targeting the global payment ecosystem. This data and analytics team is working closely with the Visa Direct team to identify non-compliance across money-movement merchants and their acquiring banks leveraging advanced analytics and data science techniques. Key measures of success for this position include the ability to develop and automate key data intelligence capabilities that optimize detection of Visa Direct acquirer & merchant non-compliance activities, the development of advanced metrics that evaluate the non-compliance risk of key clients, and automated reporting at scale for business enforcement. The solutions developed under this role will lead to measurable improvement in Visa Direct s transactional data integrity and streamlined operations of Visa Direct business. The primary responsibilities for this role will include: Lead the design and production deployment of new and advanced techniques to recognize non-compliance in Visa Direct AFT and OCT transactions - including peer-to-peer transfers, wallet loads, account funding, money transfers, etc. Manage non-compliance detection taxonomies and thresholds that optimize true positive detections. Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and non-compliance identification. Collaborate closely with issuing and acquiring clients to understand their specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs. Provide data analysis to provide evidence against non-compliance in merchant registration and operations. Continuously question and consider new techniques to stay ahead of key money movement trends. Assist in the coordinated compilation and delivery of reporting, briefings, and other related communication products to Visa management. Collaborate with Technology partners to enhance detection capabilities for improved insights and pattern detection. SECONDARY RESPONSIBILITIES: Develop customized monitoring solutions to enable clients to take proactive action during merchant registration to avoid non-compliance at source. Support the development of data-led cybercrime and fraud prevention initiatives - including point-of-sale (card present/card not present) terminal fraud, anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM Cashouts. Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem. Create detailed documentation for all the Visa Direct analytics solutions. Communicate openly with the Visa Direct team and act as an SME and point of escalation. Develop a plan to partner and gather intelligence details from acquirers for all source analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. REQUIRED: 3 years of work experience (preferably in payments industry) with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, or PhD) Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitat

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: Global Services Group (GSG) brings together the company s external and internal servicing functions, and includes the below world-class organizations: Global Servicing Network, which provides exceptional care to our external customers, and Global Business Services, which provides many of the vital internal services that make American Express run efficiently. Sales and Business Enablement (SABE) is an internal servicing team providing sale performance reporting and business enablement support to the enterprise. The objective of the SABE Performance Reporting and Insights team is to ensure that Commercial and Merchant businesses have timely and accurate reporting, insights, and forward-looking actions to help drive business performance. Responsibilities: The position will have responsibility to lead development & ongoing delivery of Performance Reporting & Incentive Calculation for GMNS US and LACC markets. This role places a focus on ability to think strategically, to synthesize complex data & deliver relevant & insightful reporting to the Business users Deliver comprehensive performance reporting and Insights to help the leadership team and individuals evaluate and drive business performance. Partner with functional leaders, Strategic Business Partners and senior leaders to remove friction points, ensure data integrity for reporting and insights to fulfill business requirements and enable actions. Understand complex operational systems and business intelligence tools, sales platforms for developing efficient, insightful products and offerings for customers Devise process improvement tools and methodologies that will ensure detailed delivery exceeding customer expectations. Evolve reporting to meet key business priorities, engage early on with customers, gain agreement for implementing proposed solutions. Leverage standard processes internally and bring outside-in perspective to deliver best of breed reporting and insights Critical Factors to Success (Outcome Driven): Business Outcomes: Strong analytical skills and an innovative approach to solving both practical and theoretical problems and a tremendous will to win Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities Ability to interpret insights to derive strong requirements and prioritization based on data. Strong people relationship building, management and influencing skills Exceptional verbal, written, and interpersonal communication skills Engage with key customers to drive initiatives to enhance sales experience. Automate and standardize reporting processes Leadership Outcomes: Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital approach and deliver the world s best customer experiences every day Past Experience 8-10 years relevant experience with excellent knowledge Reporting and Visualization tools Preferred: Experience in Python and Hive & Tableau. Academic Background Master s degree in economics/ Statistics / Operations research Skills/Capabilities Functional Understanding of merchant business process Analytics & reporting domain experience Technical Analytics & Insights Python, Lumi Big Query, R, SQL Basic Statistical Knowledge: Hive/ML techniques Advanced data manipulation & automation skills Data visualization Exposure to Big data environment & tools Preferred: Data Analytics , Automation experience Platforms Big Data Platforms: Cornerstone/Lumi Visualization Platforms: VBA, Tableau Advanced MS Office Suites (Word, Excel, Powerpoint, Access) Amex Platform Knowledge: CS/ CODL Preferred: Dashboard Creation Sales Platforms: SFDC Behavioral Enterprise Leadership Behaviors Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

Req ID: 329385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bengaluru, Karn taka (IN-KA), India (IN). Title: Business Consulting Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will:Hold a Bachelor s or Master s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with Optilogic, LLamasoft Supply Chain Guru, ToolsGroup SO99+, AIIMS, River logic, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges

Senior Data Engineer ? Overview Technical Implementation team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Teams provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. The Technical Implementation team is a core component to consulting services, managing the data acquisition, integration and transformation of client provided data within the Test & Learn platform for global engagements. Role The Senior Data Engineer will lead and participate on data management aspects of client engagements to deliver Test & Learn solutions, as well as contribute to and foster a high performance collaborative workplace. A Senior Data Engineer will: Independently lead projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base Act as an expert technical resource within the team and region Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors Build trust-based working relationships with peers and clients across local and global teams Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing Plays a lead role where he/she oversees the activities of the data engineers and ensures the efficient execution of their duties Act as an advisor/mentor and helps in managing careers for junior team members Comply and uphold all MasterCard internal policies and external regulations All about you: BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : MySQL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical specifications. Your role will be pivotal in fostering a collaborative environment that encourages innovation and problem-solving among team members. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in MySQL.- Strong understanding of database design and optimization techniques.- Experience with data modeling and schema design.- Familiarity with performance tuning and query optimization.- Ability to troubleshoot and resolve database-related issues. Additional Information:- The candidate should have minimum 5 years of experience in MySQL.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a highly skilled and experienced Legal Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 3 years of experience in the BFSI industry. Roles and Responsibility Handle legal matters related to banking operations and transactions. Draft, review, and negotiate contracts and agreements with clients and vendors. Provide legal advice on regulatory compliance and risk management. Conduct legal research and analysis to support business decisions. Collaborate with internal stakeholders to resolve legal issues and disputes. Develop and implement legal strategies to mitigate risks and protect the bank's interests. Job Requirements Strong knowledge of banking laws and regulations. Excellent drafting and negotiation skills. Ability to analyze complex legal issues and provide sound advice. Good communication and interpersonal skills. Experience working in the BFSI industry is preferred. Strong attention to detail and organizational skills.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Analyst Decision Sciences Principal responsibilities The job holder is required to ensure the provision of complete, true, and accurate analysis and report to functional management and senior executives under minimum supervision of his / her line manager, to facilitate effective decision making. The nature of work will require the role holder to take quick decisions in situations where complete information/data might not exist, and he/she would need to apply business knowledge & intuition to make best case recommendations. The role holder shall also be expected to guide and Analysts from a functional perspective and help them gain business understanding. In this role, the job holder will be under partial supervision and will undergo on the job training, however it is vital that the person in this role is able to learn new tasks very quickly. The role holder will be expected to execute on tasks/projects, once provided initial directional guidance. The role holder shall be expected to solve complex technical/business problems on his/her own without involving his/her line manager. The role holder will be expected to be responsible for thorough quality check (QC) of their own deliverables and follow the departmental QC procedures as laid down by their line managers. They will also be expected to create departmental QC guidelines & ensure their adherence by his/her functional reports. The role holder shall also be expected to be the primary SPOC for their assigned projects, for the business partner. In this role, they are supposed to set the correct expectations with respect to deliverables, TAT, follow ups etc. They are expected to actively manage the projects and bring to light potential roadblocks. Be able to execute/deliver against defined tasks. Develop new solutions/framework for the business problems. To be able to work independently on medium complexity tasks that would involve frequent changes to the process. Develop business domain knowledge and good working knowledge of tools [SAS, VBA, Qlik, R, Python, and any other BI tools & Data technologies. ] Interfaces with business/functions to translate business requirements into executable instructions/technical. Requirements Minimum 2+ years relevant experience. Bachelor s/master s degree in any of the discipline like Computer Science, IT, Operations Research, Mathematics from a reputed university or MCA from a reputed university Experience on Vendor Decisioning or Analytics product(s) is preferred. E. g. , TRIAD , Experian Power Curve, SMg3, SAS Decision Manager, SAS Intelligent Decisioning, Viya, RTDM, Pega etc. Knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SQL, VBA, Unix, Qlik sense, R, Python, and any other BI tools & Data technologies across any of the platform s UNIX, mainframe, or Windows. Experience on Cloud, Digital Technology and Cognitive/AI platforms will be an added advantage. Investigative and consultancy mind with penchant for the latest technologies and continuous learn and adapt capability. Strong communication, stakeholder management, presentation, and interpersonal skills Strong problem-solving skills, adaptability to change and changing work priorities and ability to drive results. Ability to work under pressure and achieve agreed deadlines; work on multiple items concurrently where required. Ability to operate well across cultures and in multi-culturally diverse work environments. Knowledge of Code development, SDLC, Programming is a must and exposure to managing change is good to have. Exposure to Banking Analytics or equivalent experience in Business, Finance, or related field You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

The candidate should have expertise in Hands-on experience in developing and deploying machine learning models into production, ensuring scalability and reliability, handling data, financial/risk modeling, anomaly detection, and cloud environments (preferably Azure). Strong programming skills in Python, and experience with SQL for data manipulation. Excellent oral and written communication skills to effectively engage with team members, stakeholders, and end-users. Roles and Responsibilities: Develop, enhance, and support assigned applications, ensuring seamless functionality and high performance. Take full ownership of assigned projects or modules, providing end-to-end solutions from development to deployment. Participate in client engagements to enhance existing ML models, develop advanced models for business needs, and design experiments for test/control analysis and business process trials. Collaborate with cross-functional teams on AI/ML, knowledge discovery, data modeling, and analytics to address business challenges. Build, deploy, and maintain predictive ML models, ensuring production readiness and optimal performance. Expertise in building multi class classification models, handling high dimensional data. Skilled in working within big data environments utilizing the capabilities of PySpark. Expertise in leveraging frameworks such as OpenAI, LLama, Langchain, and Langraph to develop robust, scalable AI solutions. Proficient in text embeddings, document parsing, and advanced natural language processing (NLP) techniques. Experience in designing and implementing agent-based systems for workflow automation. Well-versed in autonomous agents and orchestration frameworks. Design and execute experiments such as A/B testing or DOE (Design of Experiments) to validate models and hypotheses. Write and execute data extraction algorithms to collect data from primary or secondary sources and define data requirements for analysis. Troubleshoot issues, monitor performance, and optimize deployed models and processes for continuous improvement. Gain expertise in the organizations data framework and its alignment with business processes. Recommend any additional data needs and coordinate with data engineers to ensure data suitability. Apply advanced data analytics and strategies to optimize statistical efficiency and model quality. Interpret data and analyze results using analytical techniques, providing actionable insights and regular reports to stakeholders. Identify, analyze, and interpret trends or patterns in complex data sets to uncover actionable insights. Train and develop machine learning models, run evaluation experiments, refine/test/validate models, and ensure robust deployment in production environments using FasAPI framework. Work with management and stakeholders to prioritize business and informational needs for data-driven solutions. Stay current with industry trends, share best practices, and provide subject matter expertise within the team. Identify new opportunities for process improvement using statistical testing, predictive modeling, and data-driven methodologies. Adhere to company policies, procedures, and security requirements while maintaining compliance standards. Qualifications Required / Desired Skills: Degree in one or more quantitative discipline Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar 6-9 years of experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact. Proficient with PySpark, NoSQL and Python and distributed programming Expertise working in MongoDB, Databricks and cloud computing platforms (Azure), or equivalent on-premise platform and deployment provide hands-on technical guidance; conduct code reviews. Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas. Experience in client engagements, interpreting client s business challenges, and recommendations for statistical analysis solutions (i.e. analytical consulting and solution design) Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. Experience in Gen AI, LLM Workflow, Graph RAG etc. is an added advantage. Familiarity with visualization tools like PowerBI and Tableau is an added advantage. Flexible to work from office 3 days(in a week) from 12:30pm to 9:30pm Location: IND:KA:Banglaore / Intl Tech Park, Whitefield Rd - Storage: Innovator Building, Itpb, Whitefield Rd Job ID R-66891 Date posted 05/14/2025

At Hike, we re building the Rush Gaming Universe To know more, check out work.hike.in . Hike Code ( Our core cultural values ) The Hike Code is our value system. We aim to live and breathe by these every single day. They inspire us to be the best we can be and they are weaved into every part of our decision making, how we review performance and much more. We have 9 core values: Top Talent in Every Role Both a quest for greatness & shared values are important to us Owner not a Renter Proactive & radically responsible. Everyone is an owner Pro-Sports Team Strength-based, results driven with a "team-first" attitude Customer Obsession We exist to delight our customers Think Deeply & Exercise Good Judgement Clear mind, obsession to simplify & data-informed Build & Make Magic Courage to walk into the unknown and pioneer new fronts Be Insatiably curious & keep Improving Curiosity to acquire new perspectives, quickly Move Fast & Be Dynamic Ruthless prioritization & move fast Dream Big, Be Bold & Think Long Term Courage to climb big mountains Skills & experience were looking for 2-3 years of experience in application security with a strong focus on web and mobile application security. | Top talent in every role Managing and triaging bug bounty submissions, evaluating impact, and prioritizing fixes based on risk assessment. | Think Deeply & Exercise Good Judgement Hands-on experience in penetration testing, including API intercepting, and reverse engineering of APKs. | Top talent in every role Deep understanding of OWASP Top 10 vulnerabilities and mitigation techniques. | Think Deeply & Exercise Good Judgement Experience with SAST, DAST, and other application security tools. | Be Insatiably Curious & Keep Improving Awareness of cybersecurity trends, attack vectors, and best practices. | Top talent in every role Cloud security and network security knowledge, along with proficiency in scripting languages like Python, would be an added advantage | Top talent in every role You will be responsible for Strategy Design and implement secure application architectures aligned with business and security requirements. Strategy Develop and enforce secure coding standards across engineering teams. Strategy Automate security testing in CI/CD pipelines, including SAST, DAST, and dependency scanning. Strategy Perform threat modeling and risk assessments for applications and services. Operations Conduct regular security code reviews and vulnerability assessments. Operations Monitor and respond to application security incidents, working closely with engineering and DevOps teams. Operations Research and recommend new security technologies and best practices to improve application security. Operations Maintain security documentation and ensure compliance with internal policies and industry standards. Collaboration Partner with engineering teams to prioritize security fixes and integrate security best practices into the SDLC. Collaboration Communicate security risks and solutions effectively to both technical and non-technical stakeholders. Benefits We have tremendous benefits & perks. Check out work.hike.in to know more

Senior Product Specialist Job Details | Bentley Systems Search by Postal Code Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Position Summary: Bentley is looking for a Senior Product Specialist to join our Mobility team within Solution Engineering. In this role, you will champion and communicate the effective use of OpenPaths software. Your responsibilities will include developing, supporting and communicating best practice transport forecasting applications using OpenPaths tools, ensuring that both current and future users have access to the best and most suitable technologies to excel and innovate in their projects. Your Day-to-Day: Provide face-to-face and virtual training on OpenPaths applications Create and deliver proof-of-concepts and demonstrations to users globally Work on a range of projects and tender for opportunities in the field of Mobility Travel to events worldwide to promote the powerful and successful use of OpenPaths software Collaborate with an international team of like-minded peers Leadership and further career opportunities are possible in the future. This is a full-time role expected to work 40 hours per week, office-based, hybrid, or home-based in the US. The ability to travel globally up to 20%. What You Bring to The Team: Graduate or post-graduate qualifications in transportation science, operations research, related technical, or analytical field is preferred or relevant training and experience At least 3+ years experience in the transportation industry Expert-level hands-on experience using OpenPaths EMME Experience in OpenPaths AGENT will be highly favorable but not required Experience in OpenPaths DYNAMEQ and CUBE will be beneficial but not required Fluent in English. Other languages preferable but not required Enjoy working in a team but able to work independently to deadlines Enjoy working directly with users Comfortable speaking to live audiences An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction. Competitive Salary and benefits. The opportunity to work within a global and diversely international team.

Amazon has come a long way since opening on the World Wide Web in July 1995. Today, we operate retail websites in multiple countries across geographies, offering products in many categories (books, media, digital, electronics etc.) worldwide, and we still like to work hard, have fun and make history! The Amazon.com brand has become synonymous with a superior level of convenience, selection, low prices, and customer service. The Last Mile Planning team, within the LMT organization, is at the heart of our growing logistics network at Amazon. We build all the software that creates efficient route, station and capacity plans that operations uses to deliver billions of packages that Amazon customers order worldwide, right up to their doorsteps. We re challenged to constantly improve and innovate on our vehicle routing/planning software and tools to better support fast delivery to customers. The technology innovations that are developed by the Last Mile Technology team scale our growing network and include a wide breadth of solutions from ML and operations research-based routing and planning algorithms, our own in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together. The Pre Station Planning Technology team is one of the critical teams supporting and enabling Last Mile operations for Amazon Worldwide. We build software for demand forecasting, capacity planning, jurisdiction and topology management and fleet planning among other areas. All of these services help estimate the precise number of stations, vehicles, drivers and routes to deliver billions of packages to customers worldwide and have a high impact on cost as well as deliver efficiency. We are looking for a SDE with exceptional technical skills and a passion for delivering great software to join our team. As a member of this team, you will be responsible to own and deliver highly visible, innovative projects that directly impact the customer experience. You will be involved in driving the technical and architectural vision for a planning team that touches every Amazon package, as well as all the aspects of the software development cycle including scoping, design, implementation, testing & delivery of our product. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

About the job Operation Program Manager Job brief As a Program Manager, youll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. Its your job to coordinate the players and keep them up to date on progress and deadlines. As a Program Manager, you lead complex, multi-disciplinary projects. You will plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating goals to project stakeholders. Responsibilities Drive manufacturing operational readiness in the factory leveraging partner resources as well as ongoing efficiency and improvement across factories from ramp to end-of-line (EOL). Anticipate production and operational risk, communicate and mitigate work with original equipment manufacturers (OEMs) to manage line bring-ups, qualification, material availability, and quality issues. Secure right level of capacity based on forecast and horizons. Work with original equipment manufacturers (OEM) partners to ensure performance goals for Quality, Turn Around Time (TAT), and Throughput (I/O/S) are met or exceeded from ramp to EOL. Collaborate with cross-functional teams and with partners to prepare for production ramp and product transitions. Lead meetings to communicate plans with cross-functional operations and demand planning. Adapt plans based on changing customer requirements. Requirements Bachelors degree in Industrial Engineering or a related technical field, or equivalent practical experience. 5 years of experience in electronics or computer consumer hardware. Experience with manufacturing or operations in Original Equipment Manufacturer (OEM) management and Supply Chain Management. Preferred Masters degree in Industrial Engineering, Supply Chain, Operations Research, Operations Engineering, or other relevant field. Experience in the consumer technology market and facilitation with OEMs and third-party suppliers. Experience in working with global and cross-functional internal and external teams.

Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance. Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. Develop custom data models and algorithms to apply to data sets and run proof of concept studies. Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models. Develop processes and tools to monitor and analyze data accuracy and models? performance. Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software. Resolve customer complaints with software and respond to suggestions for improvements and enhancements. Required Qualifications Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. Proven ability to apply modeling and analytical skills to real-world problems. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++. Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast. Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models

Technical Implementation team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Teams provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. The Technical Implementation team is a core component to consulting services, managing the data acquisition, integration and transformation of client provided data within the Test & Learn platform for global engagements. Role The Senior Data Engineer will lead and participate on data management aspects of client engagements to deliver Test & Learn solutions, as we'll as contribute to and foster a high performance collaborative workplace. A Senior Data Engineer will: Independently lead projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base Act as an expert technical resource within the team and region Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors Build trust-based working relationships with peers and clients across local and global teams Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing Plays a lead role where he/she oversees the activities of the data engineers and ensures the efficient execution of their duties Act as an advisor/mentor and helps in managing careers for junior team members Comply and uphold all MasterCard internal policies and external regulations All about you: BE/BTech in a quantitative field (eg, Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred

We are looking for a Sr Analyst who is a proven highly analytical problem solver, has strong technical understanding of data/data systems and an exceptional team player to be part of our growing team. This role will primarily focus on ownership of end-to-end deliverables on content or interaction and related assets eg documents, tools, advisory conversations, proposal reviews etc, including business and operational insights. Initiatives/projects involve data definition, data pull, technical understanding of Gartner data, analyze for insights, build recommendations, visualize data, scale through automate visualizations and reporting. Example objectives are Build end-to-end dashboards that communicate the performance of our content/interactions including root causes and insights of upcoming trends, areas of bright spots and opportunity Standardize and automate the top reads for a document or ways we measure reach of a document or impact of interaction etc, across the entitled licensed user base considering target role / industry / geo, the priorities navigator, and other factors. Build mechanisms to measure current performance and improvement opportunities, of our research assets Improve content and interaction reporting (eg, scorecard, operation reviews, adhoc requests from product and R&A), dashboards, and automation This is an exciting opportunity to be hands-on in our efforts to fuel Gartner s revenue growth and retention through Gartner s world-class, must-have content and extraordinary and timely client interactions. What you'll do: Build expertise to be the center of excellence on Gartner research assets data, with deep knowledge of the data across source systems, the data warehouse, and dashboards / reports so analysis is unassailable, and other Gartner teams rely on the data we provide and guidance on how to use it. Partner with stakeholders (eg, IT, Research Strategy & Operations, Content Research Excellence, and Global Product Management) to understand business needs and capabilities that can help us analyze performance and return on content investments. Continuously and collaboratively prioritize efforts against areas of highest business impact. Ensure seamless communication and change management across relevant stakeholder orgs Develop and continuously improve a methodology to measure engagement and thereby impact of content/interactions for Gartner Execute on the approach to deliver functionality iteratively. Continuous improvement: Take initiative to identify and roll out improvement initiatives. Structure large data sets to find usable information, analyze and derive insights Communicate: Build effective outputs that convey the root cause/clear story of solving a business problem Seamless collaboration across team and knowledge sharing What you will need: Experience : 3-5 years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy. Education: Bachelor s Degree required. Degree with a concentration in statistics, data science, mathematics, engineering, computer science, or operations research preferred. Exceptional problem solving: Proven track record of solving complex problems, Critical thinking, Analytical reasoning, Innovation, and using data to influence senior level stakeholders. Demonstrated thought leadership with high business impact throughout career. Strong technical understanding of data and skills to analyze as we'll as visualize it Statistical analysis incl identify patterns and trends in the data, avoid bias and apply the right models / methodologies / calculations Programming languages eg python, R, SQL Data visualization tools eg Tableau, power BI Attention to detail eg data hygiene, quality checks, documentation etc Rigorous prioritization and working in fast-paced environments : Track record of success in environments with competing and continuously evolving priorities. Collaboration and Stakeholder management: Strong collaboration and influencing skills in a highly matrixed environment. Influencing stakeholders and team members based on a command of the facts, analysis, and implications Communication : Outstanding verbal and written communication structured, engaging and compelling.

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

Innovate the Future of Last-Mile Delivery at Amazon! Join our bar-raising team developing Last Mile delivery technologies that transform how packages reach millions of customers worldwide. Help shape the future of last-mile solutions by working with the latest in AI, autonomous systems, and smart logistics. Turn your innovative ideas into reality at the worlds most customer-obsessed company! Were seeking a talented Mobile Software Development Engineer to design and build high-performance, user-friendly Android and iOS apps for our delivery drivers. The ideal candidate will have deep technical expertise in mobile app development, including proficiency in programming languages, frameworks, and best practices for building robust, scalable mobile applications. At Amazon, SDEs can expect to design flexible, scalable solutions and tackle some of the most complex challenges in large-scale computing. Utilize your skills in data structures, algorithms, and object-oriented programming to drive innovation and transform the future of logistics. About Last Mile: Amazon s Last Mile delivery efforts help get customer packages from delivery stations to a customer s doorstep. Amazon has grown its last mile delivery efforts helping to speed up customer delivery times and provide new innovations to customers. Working on the front lines of our Last Mile tech team means that daily, you have a tangible impact on an Amazon customer s experience getting his or her package. Amazon s Last Mile teams deliver packages (and groceries, Prime Now, third party, and Restaurant orders) to homes, businesses, Amazon Lockers, and even cars all over the world! This network is powered by hundreds of small businesses and tens of thousands of drivers that leverage Amazons technology to deliver millions of smiles to customers each day. The technology innovations that are developed by the Last Mile tech team help scale this exponentially growing part of our network and include a wide breath of solutions from ML and operations research based routing and planning algorithms, our own in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist II should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world. Roles & Responsibilities: Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards. Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner. Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently. Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis. Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation. Provide training, guidance, and mentorship to junior analysts and team members when required. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies Strong analytical thinking and problem-solving skills with the ability to analyse complex data sets and draw meaningful conclusions. Agile problem-solving ability and desire to learn new things and continuously improve. Proficiency in statistical analysis techniques and methodologies. Strong project management skills and the ability to work independently or as part of a team. Solid understanding of digital analytics tools and platforms and version control. Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations. Experience Bachelor s degree in operations research / industrial engineering / supply chain/chemical engineering/bioengineering. Advanced degree (Masters/PHD is a plus). Proven experience (typically 3-5 years) in a hands-on working environment in operation research, supply chain, data analytics and data integration Knowledge and expertise of analytical models such as linear programming, network optimization, goal programming, multiple objective optimizations, decision analysis Markov decision processes Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau) Experience with simulation software (SIMIO, Arena, etc. ) or DES libraries (simmer, simpy) Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus. Experience in the biopharma industry a plus. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Scientist, Decision Sciences- Pune India Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactions? Do you want to work in a role that has a direct impact on our customer experience? Join Western Union as Scientist, Decision Sciences. Western Union powers your pursuit. The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud. Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor s degree in quantitative field required. 3+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value. Strong problem solving and analytical skills Strong communication skills to convey fraud insight Ability to analyze problems and produce justification to enhance fraud decisions. SQL and at-least one of the Python/R programming experience and aptitude to learn on the job. Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques Intermediate knowledge of Microsoft Excel/Power BI/PPT Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred We make financial services accessible to humans everywhere. Join us for what s next. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you re ready to help drive the future of financial services, it s time for Western Union. Learn more about our purpose and people at https: / / careers.westernunion.com / . Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few ( https: / / careers.westernunion.com / global-benefits/ ). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India specific benefits include: Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws. Estimated Job Posting End Date: 07-07-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

JOB SUMMARY Industrial Engineer III will be responsible for planning, designing, implementing, and managing; integrated, production and service delivery systems that assure performance, reliability, maintainability, schedule adherence and cost control within the production site. The Industrial Engineer III will adopt as its goals profitability, effectiveness, adaptability, responsiveness, quality, and the continuous improvement of products and services throughout their life cycles. ESSENTIAL DUTIES AND RESPONSIBILITIES Project leader - lead and implement projects that will eliminate waste, through the standard Industrial Engineering process o This will include but is not limited to: Complex Process Simulation, Operations Research and Business Model Cost Analysis Verify Time standards prepared within IE Team Update and report key Industrial Engineering metrics for assigned customer or area Drive key process mapping activities within the assigned customer or area Drive the standardization SAP and Manufacturing Execution System configurations Prepare quotes for proposed projects within the assigned customer or area Drive process related activities for New Product Introduction. Coach, mentor, and train engineers within the Industrial Engineering team Support and/or maintain all lower level Industrial Engineering essential duties and responsibilities Insure the standardization of Jabil processes throughout the site in accordance with the global, regional and site direction Support the Lean organization by developing a solid process foundation and data integrity in order to support process improvement through the organization Comply and follow all procedures within the company security policy. May perform other duties and responsibilities as assigned JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS Key Requirements: o Understanding and application of broad range of industrial engineering tools (ie. Work measurement, simulation, process mapping, facilities and workstation design, operations research, etc.) o Understanding of Jabil s global strategies and direction o Understanding of site s facilities, capabilities and how they tie back to the Jabil strategies and direction o Strong financial and analytical ability o Proven record of accomplishment of successful change management accomplishments, implementing and management continuous improvements and cost reduction programs o Strong communication skills Proficiency in use of personal computers, Microsoft Office products, Microsoft Visio, Microsoft Project, and AutoCAD skills required.

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chases operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required qualifications, capabilities and skills Master s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc. ). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred qualifications, capabilities and skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chases operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required qualifications, capabilities and skills Master s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc. ). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred qualifications, capabilities and skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

Experienced data scientist with extensive mathematical programming and theoretical foundation and advanced software development skills to support development of state-of-the-art homegrown analytic platforms. Requirements Master s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor s degree in a quantitative field with at least seven (7) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence. Advanced C++ programming skills, preferably in scientific computing applications. Experience designing and implementing advanced numerical algorithms. Experience with integrating popular machine learning frameworks (XGBoost, LightGBM, H2O). Proficiency with statistical languages such as R or machine learning packages for Python; experience with other programming languages (Scala, Java) and HPC environments (Slurm, Univa, SGE, Torque). Advanced SQL programming skills and experience with big data platforms (Hadoop, Spark, Hive); knowledge of Apache Arrow is a plus. Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau). Demonstrate interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment. Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Versatile interpersonal skills with the ability to effectively communicate at multiple levels within and outside the organization Proven ability to operate effectively in a complex and dynamic, matrixed environment. Good verbal and written communication skills. Proven ability to translate technical concepts into actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside the organization towards desired outcomes. Ability to travel 10-20% of the time. Impact Youll Make: You will partner with internal and external cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets. Tasks will include - among others - the development of effective data science workflows, the localization of global tools, and liaising with global SMEs in data science and technology. Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a lead representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing. Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion s analytic products and services. In this capacity, you will interact directly with TransUnion s matrix partners and provide an analytic perspective and general support as needed. Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed. Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand. has context menu This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Consultant, Data Science and Analytics

Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.