10 Optimization Algorithms Jobs

About BNP Paribas India Solutions: Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Unions leading bank with an international reach. With delivery centers located in Bengaluru, Chennai, and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions, and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10,000 employees to provide support and develop best-in-class solutions. About BNP Paribas Group: BNP Paribas is the European Unions leading bank and a key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Groups commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates, and institutional clients) to realize their projects through solutions spanning financing, investment, savings, and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future while ensuring the Group's performance and stability. Commitment to Diversity and Inclusion About Business line/Function: Prime Services leverages the banks experienced global team with in-depth market knowledge to provide execution, clearing, and financing solutions across asset classes to both Institutional and Hedge fund clients. Job Title: Associate Level-1/Senior Associate Department: Global Markets Quantitative Research Location: Mumbai Business Line / Function: GMQR Prime Services Position: Purpose Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York, and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Prime Services is in charge of providing expert solutions to the Equity Prime Services suite of businesses for both trading / client-facing activities and internal cost optimization. It covers modeling of rates, client analytics, stock loan automation/optimization, funding/resource optimization, inventory management, and Delta One basket pricing. The teams develop sophisticated models and put in place the infrastructure and the technology to develop, support, and optimize the activity and facilitate trading. Responsibilities: Within GMQR Prime Services, the role focuses on all areas of the Prime Service business ranging from client pricing, stock loan automation/pricing, funding & resource optimization, inventory management, and Delta One pricing. This is a front office Associate quantitative research role. - Participate in global research on various aspects of pricing of Cash PB, Synthetic TRS, and Baskets - Contribute to the design and development of Inventory Management tools. - Development of a variety of models to estimate factors such as inventory depletion, short interest, etc. - Support the legacy suite of applications (primarily Python) and contribute to the design and build of both tactical and strategic future solutions. - Understand legacy processes written in C# - Ability to understand technologies used for real-time solutions: messaging queues etc and also the ability to build robust solutions that can communicate/interact with critical IT processes. - Support the Stock Loan and Funding desks by performing advanced analysis on a daily basis. - Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT, and Market Risk) and Research globally and also develop relations with various stakeholders. Technical & Behavioral Competencies: 1. Graduate degree in mathematics or engineering with strong analytical skills. Knowledge of finance is a bonus. 2. Strong analytical skills and technical background in mathematics, computer science, or finance. 3. Strong and demonstrable prior programming experience in Python. 4. Basic knowledge of C# 5. Basic of CI/CD pipelines, Kubernetes, Docker 6. Knowledge of statistics as well as optimization algorithms. 7. Effective communication skills, ability, and willingness to engage the business 8. Delivery focused and willingness to collaborate with other teams. 9. Familiarity with Financing business (Stock Loan, Funding, Delta One) is not necessary but a huge plus Education Level: Bachelor's Degree or equivalent Experience: At least 2 years,

As a part of the Talent Acquisition team at Tesco, you will play a crucial role in representing Talent Acquisition in various forums and seminars related to process, compliance, and audit. Additionally, you will be responsible for driving a Continuous Improvement (CI) culture, implementing CI projects, and fostering innovation within the team. Your role will involve engaging with business and functional partners to gain a deep understanding of business priorities. You will be required to ask relevant questions and translate the insights into an analytical solution document. This document will highlight how the application of data science can enhance decision-making processes. To excel in this role, you must possess a strong understanding of techniques for preparing analytical data sets from multiple complex sources. You will be expected to develop statistical models and machine learning algorithms with a high level of competency. Furthermore, you will need to write structured, modularized, and codified algorithms using Continuous Improvement principles. In addition to building algorithms, you will create an easy-to-understand visualization layer on top of the analytical models. This visualization layer will empower end-users to make informed decisions. You will also be responsible for proactively promoting the adoption of solutions developed by the team and identifying areas for improvement within the larger Tesco business. Keeping abreast of the latest trends in data science and retail analytics is essential for this role. You will be expected to share your knowledge with colleagues and mentor a small team of Applied Data Scientists to deliver impactful analytics projects. Your responsibilities will include leading solution scoping and development to facilitate the collaboration between Enterprise Analytics teams and Business teams across Tesco. It is imperative to adhere to the Business Code of Conduct, act with integrity, and fulfill specific risk responsibilities related to Talent Acquisition, process compliance, and audit. To thrive in this role, you will need expertise in Applied Math, including Applied Statistics, Regression, Decision Trees, Forecasting, and Optimization algorithms. Proficiency in SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS PowerPoint, and GitHub is also required. Additionally, having a basic understanding of the Retail domain and soft skills such as Analytical Thinking, Problem-solving, Storyboarding, and Stakeholder engagement will be beneficial. Joining Tesco's team in Bengaluru offers you the opportunity to be part of a multi-disciplinary team that aims to serve customers, communities, and the planet better each day. By standardizing processes, delivering cost savings, leveraging technological solutions, and empowering colleagues, Tesco in Bengaluru strives to create a sustainable competitive advantage. With a focus on reducing complexity and offering high-quality services, you will contribute to Tesco's mission of providing exceptional experiences for customers worldwide. Tesco Technology is a diverse team of over 5,000 experts located in various countries, including India. The Technology division encompasses roles in Engineering, Product Development, Programme Management, Service Desk Operations, Systems Engineering, Security & Capability, Data Science, and more. Established in 2004, Tesco in Bengaluru plays a vital role in enhancing customer experiences and streamlining operations for millions of customers and over 330,000 colleagues globally.,

You will be joining Carina Softlabs Pvt. Ltd. as an Unreal Developer to collaborate with the Game Development team. Your role will require strong artistic skills, proficient knowledge of coding software, and the ability to work effectively within a team. Your primary objective will be to transform basic concepts into intricately designed games that align with the company's specifications. As an Unreal Developer, your responsibilities will include creating initial storylines and character biographies, translating concepts into efficient code, building the game-based engine, developing storyboards and game scripts, contributing to audio and graphic design, animating game characters and environments, establishing milestones and schedules, working on multiplayer gameplay with AAA Titles, maintaining code integrity by fixing bugs, and creating game specifications and operational guidelines. To qualify for this role, you should hold a Bachelor's degree in computer science or software engineering, demonstrate proven work experience in completing a full video game life-cycle, possess proficiency in C++ and Blueprints, have knowledge of Epic online services, excel in API integration and building libraries, stay updated on the latest gaming trends and technologies, exhibit strong teamwork skills, showcase artistic and game-planning capabilities, and showcase problem-solving abilities using best practices. Your skills should encompass artistic skills, game development expertise, game architecture understanding, proficient coding capabilities, effective problem-solving skills, API integration proficiency, Blueprints proficiency, multiplayer gameplay experience, teamwork proficiency, Epic online services familiarity, Unreal Engine expertise, C++ proficiency, and knowledge of optimization algorithms.,

The role of a Mathematician, Physicist, or Engineer in our cross-functional optimization team involves developing, validating, and refining mathematical models and algorithms to drive optimization across product design, manufacturing processes, and material systems. By collaborating with mechanical/electrical engineers and software developers, you will contribute significantly to data-driven decision-making and computational efficiency in various areas such as lead time reduction, material optimization, process improvement, and chemical composition refinement. Your responsibilities will include: - Developing mathematical models and optimization algorithms to support engineering objectives like lead time reduction, material efficiency, and process optimization. - Collaborating with engineers to translate physical system constraints and performance goals into solvable mathematical formulations. - Working with software developers to integrate algorithms into custom tools and platforms for computational efficiency and scalability. - Continuously validating and enhancing existing algorithms using real-world data, simulations, and feedback. - Applying principles from applied mathematics, physics, and numerical methods to solve complex optimization problems across various domains. - Supporting the development of predictive models and simulations for chemical composition optimization and structural performance. - Ensuring compliance with external and internal regulations, procedures, and guidelines while upholding Hitachi Energy's core values of safety and integrity. Requirements: - Masters or Ph.D. in Mathematics, Physics, Applied Mathematics, or a related field. - Bachelors degree in engineering or a related field with 3 to 6 years of relevant experience. - Strong foundation in optimization theory, numerical methods, and mathematical modeling. - Proficiency in programming languages such as Python and MATLAB for algorithm development. - Ability to collaborate effectively in a multidisciplinary team and possess analytical thinking, problem-solving, and communication skills. - Capability to work both independently and as part of a team in a fast-paced environment. - Proficiency in spoken and written English is essential. If you are a qualified individual with a disability requiring accessibility assistance or accommodation during the job application process, you may request reasonable accommodations by completing a general inquiry form on our website. Please provide your contact information and specific details about the required accommodation to support you throughout the application process. Requests for purposes other than accessibility assistance will not receive a response.,

As an Operations Research and Computational Scientist at Pranatree LLC, you will be part of a dynamic team based in Bangalore, with additional opportunities in Pune and Gurgaon. Your primary responsibility will be to develop and implement optimization models and computational solutions to address complex business challenges, thereby playing a crucial role in data-driven decision-making processes within the company. Your key responsibilities will include designing and executing advanced operations research models to optimize various business processes, as well as creating and refining algorithms to efficiently solve large-scale computational challenges. Collaborating with cross-functional teams, you will identify problem areas and provide comprehensive, data-driven solutions. Moreover, you will develop simulation models to test proposed solutions and prepare detailed technical reports and presentations for internal and external stakeholders. To excel in this role, you must hold a Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related field. Additionally, you should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages like Python and C is mandatory, along with experience in optimization tools such as Gurobi or CPLEX. Familiarity with machine learning and data analysis frameworks will be advantageous. Your problem-solving abilities, strong analytical skills, and excellent communication skills will be key assets in this role. You will also need to demonstrate strong team collaboration skills and contribute effectively to a multi-disciplinary team environment. Your performance will be evaluated based on your ability to develop efficient computational models aligned with company goals, deliver high-quality solutions within project timelines, and engage effectively with stakeholders. At Pranatree LLC, you will have access to flexible work options, professional development opportunities, comprehensive health insurance, and a commitment to maintaining a healthy work-life balance. This role presents various challenges and opportunities to tackle complex optimization problems, drive impactful projects, and contribute to a culture of innovation and continuous learning within the team.,

The company Ideapoke is a global, fast-growing start-up with a presence in Bengaluru, Bay Area, Tokyo, and Shanghai. Their software, search, and insights drive innovation for Fortune 500 and Global 2000 companies worldwide. Ideapoke's growth is attributed to its dedicated team, committed to the company's vision and characterized by a strong work ethic and an entrepreneurial spirit. The company values continuous learning, growth, and making a difference, inviting individuals to join their journey. As a Lead Artificial Intelligence at Ideapoke, you will be responsible for collaborating with researchers and engineers across various disciplines to develop advanced data analytic solutions. Your role will involve working on large datasets, mapping business requirements into AI products, and evaluating algorithm performance based on real-world data sets. You will be required to mine data from various sources, design and implement machine learning algorithms, and optimize existing algorithms for accuracy and speed. Additionally, you will be expected to research and implement technical solutions in deep learning for real-world challenges. To excel in this role, you are required to hold a Ph.D., Master's degree, B.Tech, or B.E. in Computer Science, Statistics, Mathematics, Engineering, or related fields. You should possess 10 to 12 years of academic or professional experience in Artificial Intelligence, Data Analytics, Machine Learning, Natural Language Processing, or related areas. Technical proficiency in Python, Java, R, XML parsing, Big Data, NoSQL, and SQL is essential for this position. Moreover, you should have a strong mathematical and statistical background, enabling you to understand algorithms and methods from a mathematical and intuitive perspective. The ideal candidate for this role will be a self-starter with the ability to manage multiple research projects. You should have a flexible approach to learning new skills, be a team player, and possess strong communication skills. Your role will involve establishing scalable and efficient processes for model development, validation, implementation, and large-scale data analysis in a distributed cloud environment. By joining Ideapoke, you will contribute to the company's innovative culture and work towards amplifying success for both the organization and its clients.,

You will be working as an Unreal Developer with Carina Softlabs Pvt. Ltd., contributing to the Game Development team. Your role will involve utilizing your strong artistic skills and proficient coding knowledge to collaborate effectively within a team. The ideal candidate will possess the ability to transform basic concepts into meticulously designed games that align with the company's requirements. As an Unreal Developer, your responsibilities will include creating initial storylines, character biographies, and game scripts. You will be tasked with translating ideas into efficient code, constructing game-based engines, contributing to audio and graphic design, and animating game characters and environments. Additionally, you will play a crucial role in developing milestones and schedules, focusing on multiplayer gameplay with AAA Titles, maintaining code integrity, and addressing game bugs. Your ability to create game specifications and operational guidelines will be vital to the success of the projects. To qualify for this role, you should hold a Bachelor's degree in computer science or software engineering and possess demonstrated experience in completing a full video game life-cycle. Proficiency in C++ and Blueprints, along with knowledge of Epic online services, API integration, and building libraries, are essential. An understanding of the latest gaming trends and technologies, coupled with strong artistic and game-planning skills, will be advantageous. Your problem-solving abilities and teamwork skills will be crucial in this role, enabling you to tackle complex challenges using industry best practices. Key Skills required for this role include artistic skills, game development expertise, game architecture, coding proficiency, problem-solving capabilities, API integration, Blueprints, multiplayer experience, teamwork orientation, familiarity with Epic online services, Unreal Engine proficiency, C++ knowledge, and optimization algorithms.,

The role of S&C Global Network - AI - Merchandising Analytics Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The ideal candidate must have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. Key technical skills required for this role include knowledge of SQL, R & Python language, proficiency in at least one cloud-based technology (Azure, AWS, GCP), building price/discount elasticity models, and conducting non-linear optimization. Additionally, familiarity with state space & mixed-effect modeling techniques, AI capability migration experience, econometric/statistical modeling, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential. Strong client communication skills are also important for this role. As part of the Analytics practice at Accenture, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. You will join a network of smart and driven colleagues experienced in leading statistical tools and methods. The company will invest in your learning and growth, supporting you in expanding your tech stack and certifications. In this role, you will define data requirements for Data Driven Merchandizing capability, clean, analyze, and interpret data, and carry out data quality analysis. Experience in Data Driven Merchandizing, pricing/promotions/assortment optimization capabilities, and proficiency in statistical timeseries models are preferred. You will work on developing AI/ML models in Azure ML tech stack, managing data pipelines, and collaborating with the team to create insights presentations and client-ready decks. Mentoring and guiding junior resources, strong communication skills, logical thinking, and task management knowledge are also key aspects of this role. Overall, this role offers the opportunity to work on cutting-edge projects, enhance your analytical and technical skills, and contribute to business performance improvement initiatives at Accenture.,

Position Summary. Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you'll do. About Team Ever wondered what would a convergence of online and offline advertising systems looks like Ever wondered how we can bridge the gap between sponsored search, display, video ad formats Ever thought how we can write our own ad servers which serve billions of requests in near real time Our Advertising Technology team is building an end-to-end advertising platform that is key to Walmarts overall growth strategy. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model and analyze Walmarts proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant retail ads and experiences that connect our customers with the brands and products they love. Your Opportunity We are looking for a versatile principal data scientist who has a strong expertise in machine learning, deep learning with good software engineering skills and significant exposure to building ML solutions; including Gen AI solutions scratch up & leading data science engagement. The opportunities that will come with this role are As a seasoned SME in MLE, you will get to work on & take a lead in scaling & deployment for the most challenging of our data science solutions (including , but definitely not limited to Gen-AI solutions) across a broad spectrum of advertising domain. Influence the best practices that we should follow as we scale & deploy our solutions across a diverse set of product. Train and mentor our pool of data scientists in data sciences and MLE skills Contribute to the Tech org via patents, publications & open source contributions. What You Will Do Design large-scale AI/ML products/systems impacting millions of customers Develop highly scalable, timely, highly-performant, instrumented, and accurate data pipelines Drive and ensure that MLOps practices are being followed in solutions Enable data governance practices and processes by being a passionate adopter and ambassador. Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism) Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art Lead the team to develop production-level code for the implementation of AI/ML solutions using best practices to handle high-scale and low-latency requirements Deploy batch and real-time ML solutions, model results consumption and integration pipelines. Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. Design model architecture, optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to deploy these & drive business actions. Closely partners with the Senior Managers & Director of Data Science, Engineering and product counterparts to drive data science adoption in the domain Collaborate with multiple stakeholders to drive innovation at scale Build a strong external presence by publishing your team's work in top-tier AI/ML conferences and developing partnerships with academic institutions Adhere to Walmart's policies, procedures, mission, values, standards of ethics and integrity Adopt Walmart's quality standards, develop/recommend process standards and best practices across the retail industry. Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism). Deploy batch and real-time ML solutions, model results consumption and integration pipelines. Design model architecture, Optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders. Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. What You Will Bring Bachelors with > 13 years or Master's with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be in Engineering / Data sciences. Strong experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems. Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind. Strong experience in real time ML solution deployment Experience with deployment patterns for Distributed Systems. Strong Python coding and package development skills. Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce. Ability to work in a big data ecosystem - expert in SQL/Hive/Spark. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications. Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years" experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years" experience in an analytics related field. Option 3: 7 years" experience in an analytics or related field. Preferred Qualifications. Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location. G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1925040,

Associate Level-1/Sr Associate-Quantitative Analyst Resources/Financing Optimization Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Resources & Financing Optimization provides expert solutions to the financing activities for both client-facing activities and internal cost optimization. It covers the calculation of liquidity and balance sheet metrics, the optimization of funding costs and the automation of the inventory management platform. The team develops sophisticated models and put in place the infrastructure and the technology to develop, support and optimize the activity. Responsibilities Within GMQR Resources & Financing Optimization, the role focuses specifically on Liquidity and Balance Sheet metrics. This is a front office Associate quantitative research role. Participate to the development of the framework in C# used to calculate liquidity and balance sheet metrics of Global market activities. The scope covers all business lines, products and asset class of Global Markets. Develop the tooling that gives Trading operators the ability to understand all aspects of the calculation and allow them to steer the metrics efficiently daily Provide expertise and support to the users of the application Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT and Market Risk) and Research globally and develop relations with various stakeholders. Technical & Behavioral Competencies Graduate degree in mathematics or computer engineering with strong analytical skills. Knowledge of finance is a bonus. Strong analytical skills and technical background in mathematics, computer science or finance. Prior programming experience in C# or other object-oriented programming languages. Reliable and Detailed-oriented Knowledge of statistics as well as optimization algorithms. Effective communication skills, ability and willingness to engage the business Delivery focused and willingness to collaborate with other teams. Familiarity with Liquidity and Balance Sheet topics Resources is a plus Skills Referential Behavioural Skills : Attention to detail / rigor Critical thinking Communication skills - oral & written Ability to collaborate / Teamwork Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 2 years