1172 Probability Jobs - Page 26

CBSE PGT Mathematics Teacher We are seeking an experienced and passionate Post Graduate Teacher (PGT) in Mathematics to join our team. The ideal candidate will have a strong background in mathematics, a commitment to excellence in teaching, and the ability to inspire and mentor students for academic success. The role requires effective classroom management, innovative teaching techniques, and a dedication to fostering critical thinking and problem-solving skills among students. Requirements Roles and Responsibilities: Academic Responsibilities: Plan, prepare, and deliver high-quality mathematics lessons in alignment with the CBSE curriculum. Design engaging lesson plans that incorporate real-world applications and foster a deep understanding of mathematical concepts. Conduct regular formative and summative assessments to evaluate student progress and provide constructive feedback. Classroom Management: Maintain discipline and a conducive learning environment in the classroom. Encourage active participation and maintain an inclusive classroom culture. Student Development: Identify individual student needs and provide additional support or enrichment as required. Mentor students for academic competitions such as Olympiads, NTSE, and other mathematics-related contests. Administrative Duties: Maintain accurate records of student attendance, grades, and performance. Participate in staff meetings, parent-teacher interactions, and school events. Collaborate with colleagues to develop interdisciplinary learning experiences. Professional Development: Stay updated with advancements in mathematics education and integrate innovative teaching practices. Attend workshops, seminars, and training sessions to enhance teaching effectiveness. Required Qualifications: Postgraduate degree in Mathematics or a related field (e.g., M.Sc. Mathematics). Bachelor of Education (B.Ed.) with specialization in Mathematics. Certification in teaching or relevant pedagogy training preferred. Prior experience (minimum 5 years) teaching mathematics at the senior secondary level (grades 11 and 12). Required Skills and Competencies: Subject Knowledge: In-depth understanding of the CBSE curriculum and syllabus for senior secondary mathematics. Proficiency in teaching topics like calculus, algebra, trigonometry, probability, statistics, and geometry. Teaching and Communication Skills: Strong ability to explain complex mathematical concepts in a clear and engaging manner. Excellent written and verbal communication skills. Technical Skills: Proficiency in using educational technology and digital tools like smartboards, online learning platforms, and presentation software. Familiarity with tools like GeoGebra, MATLAB, or Excel for mathematical modeling and visualization is a plus. Interpersonal Skills: Patience, empathy, and a positive attitude towards teaching and mentoring. Ability to build strong relationships with students, parents, and colleagues. Organizational Skills: Strong classroom management and multitasking abilities. Effective time management to balance teaching, assessments, and extracurricular responsibilities. Innovative Thinking: Capability to design creative and interactive teaching strategies. Encouraging a love for mathematics and fostering analytical thinking. Benefits Employment Type: Full-time Location: Raipur, Chhattisgarh Compensation: Commensurate with qualifications and experience. Health Insurance Food and Transport Accommodation (For Residential Teachers) Show more Show less

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

hackajob is collaborating with Verisk to connect them with exceptional tech professionals for this role. Job Description About the Day-to-Day Responsibilities of the Role Perform sophisticated risk analyses using Verisk's cutting-edge technology for insurers, brokers, and other financial intermediaries in the internationally expanding business of catastrophe risk management Add value to modelled results through customization of output tailored to the needs of clients Perform change management analyses for updates models and Verisk’s Next Generation Models to assist with client adoption Perform portfolio management studies for determining growth strategies, developing scoring templates and risk metrics Manage and participate on internal projects such as testing of new software features and model releases Communicate directly with clients to develop project timelines and manage deliverable expectations, working jointly with global Verisk teams Help clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results Provide day to day client support helping clients use Verisk’s software platforms and understand Verisk’s catastrophe models and their output, including providing training sessions to clients. Qualifications About You and How You Can Excel in This Role Requirements Strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to client services. Experience Range: 1+ years Working knowledge of insurance and reinsurance Knowledge of Touchstone Re and /or Touchstone required or equivalent catastrophe modeling platform Excellent communication, time management and organizational skills Experience using Microsoft Office is essential and knowledge and understanding of the insurance/ reinsurance markets is preferred. Ability to code in languages such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable. Education A degree in science, engineering or mathematics is preferable. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Show more Show less

The Opportunity Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS). How You’ll Make An Impact Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS. GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global processes: Global Target Setting (GTS) and Marketing Input Market Outputs -historical product and market review- (MIMO). Order Estimates, BU forecast models, Market sizes/shares, PIE by country/product/segment and Market/segment validation. Collect data and provides sound business and competitor intelligence analyses related to market and trends. Participates with Management to contribute to definition of strategic plans and support relevant implementation. Support the key strategic initiatives of the GPG, collecting feedback and providing insights to improve hit-rate. Assists in the development of business analysis tools to support global, regional, and local marketing & sales teams (eg. STRATOS/Anaplan). Support on the Demand vs supply Orders Received budget mapping (yearly, after GTS). Market Intelligence System (MIS) updates for the GPG. Master Data checks and validation for the related GPG. GPG Product portfolio analysis and support. Develop and implement data analyses, leverage data collection systems and other strategies that optimize statistical efficiency and quality in their GPG. Act as a liaison between HUBs, GPGs and BU, analyzing and interpreting data involving company procedures, policies and workflows. Evaluate key performance indicators (KPIs), provide ongoing reports, and recommend business plan updates. Proactively monitors and strives to maintain high levels of data quality and completeness. Extracting and analyzing data from sales/financial tools and other relevant sources to measure progress of specific activities or milestones for the defined processes and initiatives. Providing ad-hoc analysis based on business needs (channels, segments, geographic areas, top accounts). Developing and maintaining reports and dashboards (including but not limited to Salesforce.com). Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background Bachelor’s degree in engineering, mathematics, economics or equivalent qualification. Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Ability to write reports and present findings in a professional way (MS power point, excel). Experience in SFDC and PowerBI for developing reports and dashboards. Basic Intermediate statistical knowledge: Linear Regression, Correlation, cross tabs, elementary probability, and intermediate logic would be beneficial. Intermediate change management skills: analysis, conclusion, recommend, present. Good marketing and sales experience (product knowledge and market drivers may help a lot while working on market estimation models). Strong attention to detail and ability to work under tight deadlines. Proactive and self-motivated. Passion, Integrity and Energy. Excellent MS Excel/PowerPoint/SharePoint skills Proficiency in both spoken & written English language is required Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation. Show more Show less

Job Summary: We are looking for a dynamic and dedicated Part-Time Mathematics Faculty to teach 11th and 12th-grade students preparing for the MHT-CET examination. The ideal candidate should have strong conceptual clarity, good communication skills, and a passion for teaching. Role & responsibilities Deliver basic strong mathematics lectures aligned with the MHT-CET syllabus for 11th & 12th standard, 9th & 10th Foundation. Prepare and evaluate assignments, tests, and mock exams. Clear students' doubts and provide individual support when needed. Ensure student progress through interactive and engaging teaching methods. Collaborate with academic staff for planning and syllabus structuring. Preferred candidate profile Qualifications: Bachelor's or Master's degree in Mathematics or related field. Prior experience of 6 months to 1 year 5 months in teaching MHT-CET or similar competitive exams. Strong command over topics of Algebra, Calculus, Trigonometry, and Coordinate Geometry Preferred Skills: Effective communication and presentation skills. Familiarity with online/offline teaching tools. Ability to manage and motivate students.

The Statistician/Mathematician designs and develops tools that support game design. What You'll Do Adaptability/Flexibility Creativity/Continuous Improvement Dependability Problem Solving / Decision Making Attention to details Ability to coordinate with a remote team In-depth understanding of probability. Programming language skills in C++ or C# Good to have experience in creating efficient math tools using C++/C# Analyze and project large game data Ability to complete assignments without supervision Develop reports to illustrate the results and findings to others Work with others to develop game prototypes and tools Perform analysis of Casino and Test Lab inquiries of game play characteristics Maintain, update, and organize pay tables and related information Perform other duties as assigned What We're Looking For Bachelor’s degree in Comp. Science/mathematics/statistics. 2 to 4 years of relevant experience Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information: Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Show more Show less

Requisition ID: 66906 About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, in constant pursuit of improving life at home and inspiring generations with our brands. The company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, the company reported approximately $19 billion in annual sales, 59,000 employees, and 55 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com. The team you will be a part of WHIRLPOOL CORPORATION #1 Fortune 500 Company in Consumer Durable category No 1 in North America(NAR), Latin America(LAR) No 1 western company in Asia Annual sales turnover of $21 billion 70 manufacturing & Technology centers around the Globe 3 Manufacturing Locations in India BEST EMPLOYER AWARD We believe that our people make us a great place to work, reflected in the awards we have received consistently over the years This Role In Summary Responsible for complete product portfolio management of Refrigeration category both at strategic & tactical level. Your Responsibilities Will Include Manages cross-functional teams to deliver new product development projects in regional and/or global scale, taking projects from original concept, till final implementation and project release. Takes ownership for project delivery results, Influencing cross-functionally to ensure smooth transition of projects to business owners. Deeply understands and manages all processes and tools of WPD, being a reference inside the organization related to the product development system. Responsible for managing the project in the perspective of all knowledge areas: Project Integration, Scope, Time, Cost, Quality, Human Resources, Communications, Risk, Procurement, Stakeholder Management. Leads the project team in all projects phases, since Initiation, passing through Planning, Control & Monitoring, Execution and Closure. Collect project requirements from all stakeholders, managing trade-offs to meet project goals. Properly use all the tools and processes defined by WPD and PLO. Project leader is the voice of the project, the central point of contact that conducts project meetings, integration events, status reports and gate approvals in all levels of the organization. Manages risks, developing plans to avoid, mitigate, transfer, accept or explore them along with the project team. Manages changes guiding the team to request, analyze impact and probability, and make the go/no go decisions on change. Registers, understands expectations, influences, reports project performance, collects and manages requirements of stakeholders. Minimum Requirements EDUCATION B.E./B.Tech Preferred: MBA “PMP” Certification from PMI, : Stakeholder Management, Communication, Conflict Management, Leadership, EXPERIENCE 10+ Yrs Preferred Skills And Experiences Delivery of new product development projects approved in the platform planning phase. Recommendation for all gate approvals. Delivery of project KPIs. Embedment Project Management and WPD (Whirlpool Product Development) system tools, techniques and practices in the PLO (Project Leadership Office) community and project teams. Preferred Skills And Experiences Stakeholder Management, Conflict management, Cross functional collaboration, Cross functional leadership, Risk management, Problem solving, Budgeting, Communication, Ability to deal with ambiguity Connect with us and learn more about Whirlpool Corporation See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube. At Whirlpool Corporation, we value and celebrate diversity. Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law. Show more Show less

About Vyapar: We are a technology and innovation company in the fintech space, delivering business accounting software to Micro, Small & Medium Enterprises (MSMEs). With more than 10 Million users across 140 countries, we are one of the fastest growing companies in this space. We take the complexity out of invoicing, inventory management & accounting, making it so simple, such that small businesses can spend less time on manual bookkeeping and spend more time focusing on areas of business that matter. Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience: Preferred 1 to 3 years of relevant experience in data analysis. Preferred: 1 year of experience in SQL. Background in a product company and/or startup experience is a plus. Education: A full time Bachelors’ degree from a recognized university. Show more Show less

Location: Delhi, Delhi, India Job ID: 81403 We Elevate... Quality of urban life Our elevators, escalators, and moving walks safely transport more than two billion of us up and down buildings and across transportation hubs every day.As part of the Schindler team, you’ll discover meaningful work that enhances quality of life for communities, and contribute to making places more accessible, inclusive, and sustainable for all. We combine innovation, safety, and high ethical standards, ensuring respect both among colleagues and for the world around us. By joining us, you don’t just become part of our success story; you help shape the future and continue our rich legacy that started back in 1874. Schindler India is a 100% owned subsidiary of Schindler Group headquartered out of Mumbai and is backed by 5000+ employees who are spread across the length and breadth of the country. Besides business operations, Schindler India has its own Corporate R&D Centre, Elevator and Escalator Factory and Shared Service Centre to support India operations, which is in-fact one of the fastest growing market now globally. Join us as a Sales Engineer- New Sales Your Main Responsibilities Key Responsibilities Functional:  Estimation: Configuration of elevator/escalator solutions and price estimation for sales team. Optimisations and value engineering to ensure value proposition and increased probability of winning.  Solution and Engineering: Should be able to understand Project requirements from field sales and propose correct technical solutions not limited to standard offerings from configurator.  Internal Coordination: Should be able to multitask, engage with all internal key stake holders, influencers, project management team, logistics and all relevant authorities involved in a project. Monitoring progress of material production and dispatches. Data Discipline & Internal Stakeholders Management:  Responsible for data hygiene and capturing of relevant market data in SHAPE.  Responsible for ensuring correct and quality sales for execution ease  Supporting in the documentation work associated with the orders.  Responsible for updating SHAPE periodically – EORD, Losses, etc. What You Bring Education Candidates with bachelor’s degree in Engineering/ Science mandatory Professional experience 3 to 5 years previous work experience in sales/estimation/solution engineering/elevator technical preferred. Languages Fluency in English / Area specific local language is preferred. IT  SAP / MS Dynamics / Sales Force / Relevant CRM Software experience  MS Office (Excel, Word & Power point) Professional skills  Candidate should be methodical and strong on process adherence.  Ability to deep dive into Process, Product and System.  Proactive Communications & Customer centric approach  Analytical thinking through data analysis  Target oriented focus Profile Preferences Engineering & Estimation, Sales Support What’s in it for you? Join our purpose-driven organization. Help shape an industry in which two billion people rely on our products and services every day. Your development matters to us. We help you grow by offering the support you need to develop your skills and access a rewarding and fulfilling career. Thrive in a diverse and supportive culture. Through local and global initiatives, we promote a culture of inclusion which celebrates diversity and ensures that everyone feels valued. We Elevate… Your Career Become part of our team, help us enhance quality of life and drive innovation while raising the bar for safety and sustainability. We value your diverse skills and perspectives as together we shape the sustainable cities of today and tomorrow. Are you ready to embark on a new journey? Join #TeamSchindler! Discover more on our career website. At Schindler Group we value inclusion and diversity, and practice equity to create equal opportunities for all. We endeavor that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, color, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability. Any unsolicited application from Recruitment Agencies is deemed to be rejected and does not constitute in any manner an offer from a Recruitment Agency. Show more Show less

Location Gurugram, India Share Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Ito’s Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning) Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C++/Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical l). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Location: Gurugram, Work hours will be aligned to APAC Markets.

Job Title: Computer Vision Engineer Location: Gachibowli Experience: 1-3 years Employment Type: Full-time About the Role We are looking for a passionate and skilled Computer Vision Engineer to join our cutting-edge simulation and defense technology team. This role is instrumental in building next-generation simulation environments that incorporate AI, computer vision, and immersive sensory realism for military training and war-gaming applications. Key Strategic Objectives Develop modular AI/ML-enhanced simulation blocks to support complex virtual training scenarios. Build real-time Computer Vision/Image Processing capabilities for enhanced situational awareness. Improve sensory realism —including vision, sound, and motion—to deliver truly immersive experiences. Enable adaptive learning and behavioral modeling for intelligent virtual entities. Contribute to the realization of a Military War Room / Gaming Command Centre with dynamic, data-driven capabilities. Key Responsibilities Design and implement AI/ML models tailored for simulation use-cases. Integrate image processing and computer vision techniques into real-time simulation pipelines. Collaborate with domain experts to translate training and tactical requirements into virtual environments. Optimize system performance for real-time execution and immersive responsiveness. Prototype and deploy modules involving visual perception, motion prediction, and behavioral logic. Requirements Essential: Strong mathematical foundation in Linear Algebra , Calculus , Probability , and Optimization . Proficiency in Python and/or C/C++ for simulation and ML development. Demonstrated understanding of AI/ML algorithms and computer vision techniques. Desirable: Experience with OpenCV , YOLO , SLAM , depth estimation techniques. Familiarity with NVIDIA NVAPI , CUDA programming, or real-time graphics APIs. Background in developing simulations or real-time systems in gaming, defense, or robotics domains. What We Offer Opportunity to work on impactful, mission-critical defense simulation projects. A collaborative team of engineers, data scientists, and defense experts. Continuous learning and access to the latest technologies in AI, ML, and simulation. Show more Show less

Alpha Alternatives is a multi-asset class alternatives asset management platform based out of India and Singapore, with over 22000 crores of assets under management, and deep focus on alpha generation. We are passionate about finding alternative investment opportunities that can deliver superior risk-return characteristics. We operate across various alternative spaces like Equities, Commodities, Absolute Returns, Structured Credit, Fixed Income, Quant, and Infrastructure. Our products span across various investment structures such as NBFC (ND-SI), AIF (Cat II & III), PMS, RIA and Gift City. Our team consists of 200+ people who are vastly experienced across domestic and global hedge funds and financial institutions and have strong academic credentials at top universities. We are strongly performance driven and look for people who share a similar DNA. We are seeking an experienced Quant Researcher to join EQAR. The ideal candidate will develop and implement statistical and machine learning models to identify and capitalize on trading opportunities. Roles & Responsibilities: Research, design, and develop systematic trading strategies across equities, futures, or options, with a primary focus on India’s equity derivatives markets. Design and validate mid-frequency alpha signals leveraging order flow dynamics, volatility dislocations, term-structure skews, and statistical arbitrage opportunities. Conduct cross-sectional and time-series analysis on futures and options data to identify predictive patterns and inefficiencies. Build and maintain robust backtesting frameworks using high-frequency data, ensuring strategy resilience across diverse market regimes and incorporating realistic assumptions on slippage, transaction costs, and capital deployment. Engineer and optimize data pipelines for real-time and batch processing, handling large-scale tick and minute-level datasets for India’s F&O markets. Monitor and recalibrate live strategy performance, adjusting signals and model parameters in response to changing market conditions and microstructure shifts. Apply advanced statistical, econometric, and machine learning techniques for alpha generation, risk modelling, and performance enhancement. Work closely with Portfolio Managers, technologists, and traders to implement research ideas into production, ensuring seamless integration of smart order routing, execution logic, and real-time risk controls. Participate actively in strategy review meetings, contributing to cross-strategy idea generation and fostering collaboration between research and technology teams. Stay informed on latest academic research, market developments, and technology trends to continually refine research methods and trading models. Required Qualifications: Bachelor’s or Master’s in mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative fields. 3+ years of experience in quantitative research or systematic trading Strong knowledge of probability, statistics, time-series analysis, optimization, and machine learning. Proficient in programming languages such as Python, C++, or Java; familiarity with data analysis libraries. Experience with option pricing models, backtesting frameworks and handling large financial datasets (e.g., tick-level or intraday bar data). Understanding of market microstructure, transaction cost analysis, and execution slippage modelling. Additional Skills (Good to have but not mandatory): C++ proficiency. Prior experience at a prop desk, hedge fund, or institutional trading firm. Familiarity with broker APIs, OMS/EMS platforms, or building execution interfaces. Understanding of capital efficiency, collateral optimization, and portfolio margin frameworks. If you are a talented individual with a sharp eye for detail, who can challenge the entire team, and would thrive in an innovative and entrepreneurial environment, apply for this exciting opportunity with Alpha Alternatives. Compensation: Salary will be discussed individually with selected candidates, and the compensation will have a significant element of performance-linked bonuses. In the long run, if you do well, you can expect to create disproportionately higher value for yourself. Location: Dadar, Mumbai Show more Show less

Location Name: Roha Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties And Responsibilities  Build Stress Testing Framework and execute the same  Develop, validate, and execute Stress Testing Tools and Stress Testing Engine  Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines  Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses  Support any adhoc deep dive data analysis on portfolio metrices  Support in Data analysis and segmentations.  Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design Algorithms that should be used in model building Business interpretation of statistical models Model Monitoring results and it’s interpretation Major Challenges Updated on new statistical modeling methods Writing efficient SQL and Python queries Incorporate the regulatory changes, as and when announced Liasing with IT and other teams to get models implemented in the systems Qualifications Required Qualifications and Experience B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills Show more Show less

Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor’s in computer sciences or similar. Skills hands on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Knowledge in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus Show more Show less

Job Description Job Title – Senior Data Scientist Candidate Specification – 10+ years, Notice Period – Immediate to 30 days, Hybrid. Job Summary We are seeking a highly skilled and experienced Senior Data Scientist to join our advanced analytics team. The ideal candidate will possess strong statistical and machine learning expertise, hands-on programming skills, and the ability to transform data into actionable business insights. This role also requires domain understanding to align data science efforts with business objectives in industries such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Equipment . Primary Responsibilities Lead the design, development, and deployment of advanced machine learning and statistical models Analyze large, complex datasets to uncover trends, patterns, and actionable insights Collaborate cross-functionally with business, engineering, and domain teams to define analytical problems and deliver impactful solutions Apply deep understanding of business objectives to drive the application of data science in decision-making Ensure the quality, integrity, and governance of data used for modeling and analytics Guide junior data scientists and review code and models for scalability and accuracy Core Competencies (Primary Skills) Statistical Analysis & Mathematics Strong foundation in probability, statistics, linear algebra, and calculus Experience with hypothesis testing, A/B testing, and regression models Machine Learning & Deep Learning Proficient in supervised/unsupervised learning, ensemble techniques Hands-on experience with neural networks, NLP, and computer vision Business Acumen & Domain Knowledge Proven ability to translate business needs into data science solutions Exposure to domains such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Pumps/Motors Technical Proficiency Programming Languages: Python, R, SQL Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI MLOps & Deployment: Docker, Kubernetes, MLflow, Airflow Cloud & Big Data (Preferred): AWS, GCP, Azure, Spark, Hadoop, Hive, Presto Secondary Skills (Preferred) Generative AI: GPT-based models, fine-tuning, open-source LLMs, Agentic AI frameworks Project Management: Agile methodologies, sprint planning, stakeholder communication Skills Required RoleSenior Data Scientist - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DEEP LEARNING MACHINE LAEARNING PYHTON S TATISTICAL ANALYSIS Other Information Job CodeGO/JC/375/2025 Recruiter NameChristopher Show more Show less

Role Overview As a Manager-Delivery , you will be at the forefront of managing end-to-end project execution. You will collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to design, develop, and implement data-driven solutions. Your leadership will be pivotal in ensuring high-quality project delivery, building strong client relationships, and guiding a high-performance team. Key Responsibilities Project Leadership & Execution : Collaborate with internal and client teams to define business requirements and create comprehensive project plans aligned with project scope and objectives. Design effective solutions that enable clients to achieve their goals and optimize their operations. Allocate tasks to team members based on their skills and expertise, ensuring efficient resource utilization. Lead project execution, track milestones, monitor progress, and ensure the project stays within scope, timeline, and budget. Oversee and ensure the quality of deliverables across all project phases, including reports, codes, presentations, and documentation. Team Leadership & Development : Provide both technical and business guidance to team members, fostering a culture of learning and growth. Lead scrum meetings, daily stand-ups, and Weekly Business Reviews (WBR) with clients to ensure alignment on progress and deliverables. Build an environment of mutual trust and respect, encouraging experimentation and the adoption of innovative delivery approaches. Mentor team members to build a high-performance workplace, focusing on skills development and career growth. Quality & Compliance : Ensure compliance with best practices and established processes for quality assurance, including the use of checklists, coding standards, and peer reviews. Develop action plans to improve delivery scores and ensure client satisfaction with project execution. Client Engagement & Communication : Work closely with mid-management-level clients, providing clarity on the project’s progress, outcomes, and business impact. Craft and deliver compelling presentations to communicate complex data insights in an understandable way. Balance pragmatic alternatives with ideal solutions, ensuring that business priorities, deadlines, and budgets are managed effectively. Required Skills Technical Skills : Advanced knowledge of probability and statistics. Expertise in Practical Machine Learning , including awareness of key pitfalls and solutions. Intermediate proficiency in SQL and Python. Intermediate knowledge of project management methodologies and tools. Proficiency in MS Office applications : Excel, PowerPoint, and Word. Non-Technical Skills : Strong business acumen with the ability to evaluate the financial impact of decisions. Ability to storyboard presentations effectively and hold productive conversations with mid-management-level clients. Leadership : Proven ability to lead teams, balance priorities, and make data-driven decisions. People Skills : Strong capabilities in conflict resolution, empathy, communication, listening, and negotiation. Self-driven with a strong sense of ownership and accountability. Good to Have Skills Technical Skills : Advanced knowledge of project management methodologies and tools. Advanced proficiency in SQL and Python. Knowledge of advanced data science areas like time series forecasting , Bayesian data analysis , Operations Research , and domain-specific analytics such as Pricing Analytics , Media Mix Modeling , and B2B/B2C Customer Analytics . Non-Technical Skills : Experience in solution proposals , collaborating with growth, customer success, and central solutioning functions to drive business opportunities. Show more Show less

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target? Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target: https://india.target.com/ Benefits: https://india.target.com/life-at-target/workplace/benefits Show more Show less

At GKM IT, we’re not just building tech — we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven Data Scientist - Senior I who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you. Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products. Requirements 3–5 years of relevant experience as a Data Scientist Design and implement machine learning systems for business use cases Conduct applied machine learning research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated. Show more Show less

Job Title: Subject Matter Expert (SME) Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-Time, Work from Office Industry Type: Education/Training/KPO. Location: Sahastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Accounting Advanced Math Advanced Physics Chemistry Economics Electrical Engineering Finance Mechanical Engineering Nursing Operations Management Physics Statistics and Probability Key Responsibilities:· Develop high-quality academic content and solutions.· Solve subject-specific queries and provide detailed explanations.· Review and proofread content for accuracy, Clarity, etc.· Create structured and plagiarism-free solutions.· Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation).· Strong knowledge and expertise in the chosen subject.· Excellent written and verbal communication skills.· Ability to research and provide detailed, step-by-step solutions.· Proficiency in MS Office, MS word & MS Excel.· Prior experience in academic content creation or teaching is a plus.Why Join Us?· Competitive salary and growth opportunities.· Exposure to global academic content development.· A collaborative and learning-driven work environment.· Work with a team of experts in various disciplines. How to Apply:Interested candidates can share their updated resumes at taniya@acstechnologies.net or contact us at +91 9068603814 Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Executing clean experiments rigorously against pertinent performance guardrails and analysing performance metrics to infer actionable findings Developing and maintaining services with proactive monitoring and can incorporate best industry practices for optimal service quality and risk mitigation Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring, and upgradation of experiments Leveraging a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development Staying abreast of the best ML practices and developments of the industry to mentor and guide team members Qualifiers: 3-5 years of experience in building, deploying and maintaining ML solutions Extensive experience with Python, Sql, Tensorflow/Pytorch and atleast one distributed data framework (Spark/Ray/Dask ) Working knowledge of Machine Learning, probability & statistics and Deep Learning Fundamentals Experience in designing end to end machine learning systems that work at scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers. Show more Show less

Key Responsibilities ! Collaborate closely with the research team to gain in-depth understanding of AI model architecture ! Design and implement AI model architecture using C++ and processor specific SIMD instructions, contributing to the AI Model Library ! Assess, refine, and troubleshoot code to achieve optimal performance and efficiency ! Produce robust, reusable, and rigorously tested code ! Ensure compliance with coding standards through comprehensive code reviews ! Develop and integrate libraries, APIs, and frameworks ! Debug, test, and deploy applications and systems ! Stay current with industry best practices and advancements in C++ and related technologies ! Participate in problem-solving activities and contribute to the design of project architectures. Skill Set & Qualifications ! Bachelor’s degree in Computer Science, Engineering, or related field ! Proven experience as a C++ Developer (3+ years) ! Experience with C++11, C++14, C++17, or C++20 features ! Strong knowledge of C++ programming, especially memory managemenP ! Experience with multi-threading, concurrency, and performance optimization ! Strong debugging, problem-solving, and analytical skills ! Familiarity with Linux/Unix-based systems ! Exposure to real-time systems or embedded systems ! Familiarity with Linear Algebra, Probability and Statistics. Benefits ! Competitive salary and performance bonus ! Health insurance coverage for individual and family members ! Opportunity to work on exciting problems and contribute to innovation ! Work with a passionate and enthusiastic young team ! Opportunity for rapid upskilling and career growth ! Collaborative and inclusive startup work culture ! 5 days of Workcation to any destination outside India for best performers. Skills: performance optimization,linear algebra,debugging,concurrency,c++17,multi-threading,statistics,linux,probability,memory management,c++14,embedded systems,c++,analytical skills,c++11,real-time systems,code,problem-solving,c++20,unix,c,artificial intelligence,multithreading Show more Show less

📖 Our Story: marketfeed (YC S21) marketfeed is a Y Combinator–funded, seed-stage fintech founded in 2020 by Sharique Samsudheen and Sooraj E . Our automated trading platform helps everyday investors grow wealth through sophisticated yet intuitive strategies. Today we serve 1.5 million+ followers , 400k app users , and manage ₹250 crore+ in traded volume—while compounding 20 %+ MoM growth with a team of 50+ passionate builders. Our next chapter: scaling from weekly positional trades into intraday systems so users capture even more market edge. 🕵️ Who are we looking for? We’re looking for a Quantitative Analyst who will help maintain and enhance our live systematic trading models, design new data-driven strategies, and collaborate closely with senior quants, developers, and traders to deliver robust, scalable research—all from our Bengaluru HQ (hybrid friendly). 🎯 You’re a great fit if you … Have 1-3 years of hands-on quantitative or data-science experience (internships count!). Hold a degree in Engineering, Mathematics, Statistics, Physics, Computer Science, or Finance. Code fluently in Python (pandas, NumPy, back-testing libs) and are comfortable with Git. Love digging into time-series data, running walk-forward tests, and using Monte-Carlo stress checks. Understand the basics of trend following, Sharpe, drawdown, and VaR—or can learn fast. Communicate clearly: you can turn a notebook of stats into a concise, decision-ready summary. Bonus points for … Experience with intraday, positional or swing strategies in BSE/NSE F&O segment. Familiarity with CI/CD, Docker, or Kubernetes in research pipelines. Exposure to risk dashboards or trade-ops tooling. 💻 Your Key Responsibilities Refine Live Strategies You’ll work on refining existing trading strategies to ensure they remain smooth in performance and compliant with internal and external guidelines. Why it matters: Keeps trading efficient and within operational constraints. Sample output: Backtest results fall within the set thresholds. Back-test New Parameter Sets You’ll revisit shelved strategies or indicators, apply fresh parameters, and evaluate their potential. Why it matters: Unlocks value from previous research and accelerates production timelines. Sample output: Turnaround of shelved strategies with improved outcomes and quick push to production. Create Strategies from Shelved Indicators You’ll develop new strategies based on previously explored but unused indicators. Why it matters: Allows for scalable business expansion without reinventing the wheel. Sample output: New strategy specification is successfully pushed to production. Produce Risk & VaR Checks You’ll conduct risk analysis and Value-at-Risk (VaR) assessments on proposed changes. Why it matters: Ensures all changes are within predefined risk guardrails. Sample output: Demonstrated reduction in VaR. Coordinate Sign-off with SQR & DevOps You’ll ensure every new deployment has the appropriate sign-offs for safety and compliance. Why it matters: Enables fast and safe promotion from testing to live environments. Sample output: Approved release ticket. Document Process Improvements You’ll update internal documentation to reflect improved workflows and methodologies. Why it matters: Builds a knowledge base and ensures continuity for future hires. Sample output: Updated pages in the research playbook. 🛠️ Preferred Skills GCP for data pulls Coding: Python proficiency Curiosity about intraday microstructure and latency constraints 🎁 What’s in it for you Ship real alpha that thousands of users rely on—your code will run in production within weeks. Mentorship from senior quants building cutting-edge systems. Flexible leave and work hours, dog-friendly office, annual off-sites, and competitive CTC + ESOPs. Comprehensive health cover (physical & mental), unlimited tele-consults, dental, annual check-ups. 💬 Our Hiring Process Intro chat – culture & motivation fit (30 min). Quant screen – probability & statistics problems (60 min). Coding/Back-test round – small Python task or notebook review (90 min). On-site with founders & SQR – deep dive into your projects and our mission (60 min). Offer & onboarding – reference checks, paperwork, start date! Ready to turn ideas into live trading code—and learn the craft of systematic alpha along the way? Apply now and help us democratize smart, risk-aware trading. Show more Show less

Introduction Games24x7 is India’s leading and most valuable multi-gaming unicorn. We’re a full-stack gaming company, offering awesome game playing experiences to over 100 million players through our products - RummyCircle, India’s first and largest online rummy platform, My11Circle, the country’s fastest growing fantasy sports platform A pioneer in the online skill gaming industry in India, Games24x7 was founded in 2006 when two New York University trained economists Bhavin Pandya, and Trivikraman Thampy met at the computer lab and discovered their shared passion for online games. We’ve always been a technology company at heart, and over the last decade and a half, we’ve built the organisation on a strong foundation of ‘the science of gaming’, leveraging behavioural science, artificial intelligence, and machine learning to provide immersive and hyper-personalised gaming experiences to each of our players. Backed by marquee investors including Tiger Global Management, The Raine Group, and Malabar Investment Advisors, Games24x7 is leading the charge in India’s gaming revolution, constantly innovating and offering novel entertainment to players! Our 800 passionate teammates create their magic from our offices in Mumbai, Bengaluru, New Delhi, Miami, and Philadelphia. For more information and career opportunities you may visit www.games24x7.com. Summary of Role Position: Senior Manager/Associate Director - Analytics Location: Bengaluru Team: Product Analytics Key Responsibilities: Analyze and estimate the impact of changes to product features and promotional campaigns. Derive actionable insights to enhance user experience and optimize marketing initiatives. Lead and mentor a team of 3 to 4 product analysts, guiding them on project execution and problem-solving approaches. Translate insights into well-structured, data-driven project proposals. Develop a deep understanding of player behavior to inform business and product strategies. Collaborate closely with Product and Technology teams to implement initiatives and assess their effectiveness post-deployment. Required Qualifications: Minimum of 10 years of hands-on experience in analytics, preferably in a product-centric environment. Graduate or postgraduate degree in Engineering, Statistics, Management, or related disciplines from premier institutions (e.g., IITs, IIMs, ISB, ISI, IIFT, etc.). Strong foundation in statistics, probability theory, and segmentation methodologies. Proven analytical and problem-solving abilities with a demonstrated ability to identify patterns in data and test hypotheses effectively. Excellent communication skills, both written and verbal, with the ability to present complex findings in a clear and concise manner. * Games24x7 is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law * Show more Show less

Mission Turn probability into profit. Ship models that thrive both on the whiteboard and in live markets. What You’ll Tackle • Design closed-form & numerical solutions for asymmetric option/vol-trading strategies • Translate sentiment & micro-structure noise into tradeable factors • Stress-test fat-tail, path, and liquidity risk; keep CVaR on a tight leash • Write production Python + C++/Rust with tests, docs, and CI • Drop crisp research memos that non-quants can act on—no academic fog What You Bring • Master’s/PhD in Math, Applied Math, or Theoretical Physics • Stochastic calculus, measure-theoretic probability, large-scale linear algebra • Python plus one compiled language (C++17 / Rust) • Comfort with 100 M+ row data sets, Git, Docker, CI pipelines • Clear writing, calm execution, bias for first-principles proofs Bonus Points GPU/CUDA, micro-structure data chops, peer-reviewed papers, prior trading-desk seat time. Show more Show less

Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory). Show more Show less