358 Econometrics Jobs

Company: Marsh Description: Marsh is seeking candidates for the following position based in the Mumbai, India office Senior Manager - Research (M&A Due Dilligence) We will count on you to Invest in understanding our business thoroughly Contribute to the growth of the Marsh brand within the Australian and New Zealand market Prepare and deliver parts or whole of insurance due diligence reports Support in the preparation of key documents for transactional risk insurance placements Summarise key quotations received from insurers Prepare kick off materials for insurance placements Keep abreast of changing risk and insurance market conditions Coordinate with colleagues from other practices within the region Demonstrate extreme responsiveness and process excellence in daily work Estimate timelines accurately, deliver on time, flag issues proactively, be solution oriented and create routines that enhance efficient working Develop strong relationships with colleagues and stakeholders through high quality project delivery, responsiveness, and agile and clear communication Contribute to process improvement of the team by making relevant recommendations and executing the process initiatives to enhance the efficiency and quality of overall delivery What you need to have: Masters / Bachelors in Economics or Masters in Business Administration (MBA) / equivalent post-graduation certification from a reputed institute Minimum of 5 years of experience in collecting information, co-ordinating with colleagues, writing professional client ready reports, at leading professional services / research & advisory firms Prior experience in a Due Diligence role, or demonstrated experience with clients considering M&A Excellent English language communication skills - written and verbal Strong analytical, critical thinking, and problem-solving skills Excellent project and process management skills Advanced level of proficiency in MS Office - PowerPoint, Word, and Excel Ability to identify the right data from a finite data set and compile part/whole of the report Highly organised and self-motivated with the ability to work without heavy supervision, act in an agile way independently, in a fast-paced environment Strong commitment to absorb and engage in feedback discussions and enhancing own knowledge and quality of end products What makes you stand out Strong understanding of M&A insurance products and in assessing insurance coverage gaps Experience working in a cross-cultural environment Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Category Data Science Experience Sr. Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Associate- Data Science About the Company At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt, and deliver a better way for our customers, the financial industry and for each other. As a data scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description At DataLabs Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. In the DataLabs Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition. Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Designation: Econometrics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other — We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. Health systems in the US spend, on average, 30% of their annual capital budget dollars on clinical assets, representing more than $200 billion of annual US sales, forecasted to grow at a CAGR of more than 5% in the next decade. Industry data solutions to assist providers in rationalizing their clinical asset utilization and purchasing decisions are limited, forcing providers to rely heavily on equipment manufacturers for advice and insight. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company’s efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills And Experience Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. Ability to be hands-on when necessary as well as strategic is required. Excellent public speaking and presentation skills; strong written and verbal communication skills. Ability to travel up to 50%. Education And Qualifications Bachelor’s degree in Statistics, Economics or related field is required, or equivalent experience. Master’s degree or Ph.D. in Statistics or Economics is highly preferred. At TRIMEDX, we support and protect a culture where diversity, equity and inclusion are the foundation. We know it is our uniqueness and experiences that make a difference, drive innovation and create shared success. We create an inclusive workplace by actively seeking diversity, creating inclusion and driving equity and engagement. We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our full Diversity, Equity and Inclusion statement, along with our social channels to see what our team is up to: Facebook , LinkedIn , Twitter . TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours. Show more Show less

Micoworks is a company with a clear mission: to Empower every brand for the better future . This ambitious goal sets the stage for their vision and core values. Who we are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company . This mid-term goal outlines their dedication to becoming the leading force in empowering brands across Asia. To achieve their mission and vision, Micoworks identifies four key values that guide their work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values paint a picture of a company dedicated to empowering brands, working with agility and open-mindedness, and prioritising customer success. Job Summary The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics, or tech-driven industries.Key Responsibilities Develop and deploy predictive models (e.g., customer lifetime value, media mix modeling, time-series forecasting) using Python/R, TensorFlow, or PyTorch. Clean, preprocess, and validate large datasets (structured/unstructured) from multiple sources. Partner with stakeholders (e.g., marketing, finance) to design data-driven solutions (e.g., A/B testing) Ensure adherence to data privacy and ethical AI practices Research and implement cutting-edge techniques (e.g., NLP, deep learning) to enhance business strategies. Required Qualifications Education: Master's/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields. Experience: 5+ years in data science, with expertise in: Programming: Python/R, SQL, Spark, and libraries (Pandas, Scikit-learn). Statistical methods: Decision trees, regression, DL and experimental design. Cloud platforms: Azure, Databricks, or AWS 5. Soft Skills: Strong storytelling, stakeholder management, and problem-solving. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Within the Finance Risk Management Group in GRC, Market & Liquidity Risk is the independent risk management team covering market and liquidity risk at American Express. The team’s core responsibility is to design and execute risk measurement and controls across balance sheet management areas, including funding and liquidity risk and market risk. Reporting directly to the group head, the Director – Market Risk Oversight will be a responsible for providing strategic leadership and independent oversight of market risk management across American Express and American Express National Bank (AENB). The Director will work closely with senior management and business units to ensure effective identification, assessment, and mitigation of market risks. Key Responsibilities: Develop and implement market risk management strategies, policies, and procedures in alignment with the organization's risk appetite, regulatory requirements, and best practices. Provide strategic leadership and oversight to ensure policies and procedures are effective in managing the Company’s market risk exposures. Leverage analytical frameworks for independent risk assessment and deliver effective challenge on critical processes including asset-liability management, foreign exchange hedging, and investment risk management. Lead the development and enhancement of risk methodologies and metrics for assessing market risk exposures across products, portfolios, and business lines. Calibrate and monitor limits and escalation thresholds to ensure that all material market risks are mitigated and maintained within risk tolerance. Develop and lead a team of risk professionals located in the US and India Monitor trends, market developments, and regulatory changes to proactively identify emerging risks and opportunities for risk mitigation and optimization. Foster a strong risk culture and awareness of market risk throughout the organization through training, communication, and knowledge sharing initiatives. Minimum Qualifications: Undergraduate degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, or a related field. 7+ years of experience in risk management or finance; 3+ years of leadership experience. In-depth knowledge of market risk management processes, metrics, analytics, systems, and regulatory guidelines. Experience with asset-liability management (ALM), interest rate risk in the banking book (IRRBB), and foreign exchange (FX) risk management. Excellent verbal and written communication skills, combined with rigorous analytical and problem-solving skills and meticulous attention to detail. Proven ability to translate complex and disparate information into comprehensive and cohesive messaging for senior leadership, committees, audit, and regulators. Proactive in identifying issues, escalating key findings, and advising on recommended solutions to mitigate risks in a timely fashion. Strong leadership skills with a demonstrated ability to effectively hire, coach, train, and develop a team and to promote collaboration across geographies. Advanced proficiency in Excel and PowerPoint. Preferred Qualifications: Graduate degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, or a related field Prior experience is treasury risk management, including liquidity risk and capital management Knowledge of Funds Transfer Pricing Knowledge of SQL and Python CFA or FRM designation We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

The Credit Portfolio Officer is a senior-level position responsible for leading activities including credit review, credit approvals and monitoring the portfolio to identify credit migration in coordination with the Risk Management team. The overall objective of this role is to manage Citi's portfolio exposure to client and counterparties globally. Responsibilities: Develop framework for portfolio risk assessment including evaluation of credit and financial performance across varied lending products and industry segments Understand applicable credit policies, industry regulations and the requisite impact of those governance items to prospective new partners or product initiatives Establish and leverage cross-functional partnerships and network with key internal and external constituencies Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, forecasting and new program due diligence Prepare risk management presentations for senior management that include analytics on expected portfolio performance and areas of potential risk and/or opportunity Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 10+ years of experience in credit card risk management or equivalent training and experience preferably in the financial services industry Proven ability to apply credit and risk principles toward business goals Demonstrated ability to synthesize and prioritize Proven ability to remain organized in a fast-paced environment Demonstrated interpersonal, organizational and analytic skills Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred The Retail RWA (Risk Weighted Assets) team within U.S. Personal Banking Credit and Franchise Risk provides sponsorship for Citi’s global retail RWA models. This includes partnering with Model developers to review and challenge model revalidations by evaluating the adequacy and quality of the data used in the models, review results of estimated parameters and calculated ARWA, oversee implementation of model changes in production in partnership with Technology and Capital Controllers. The lead will also support Consent Order control enhancement for both Advanced and Standardized RWA. This Vice President position reports into the SVP Retail RWA Oversight. This is an analytical lead function, with the responsibilities to: Collaborate with model reviews and developers on assessment of data, segmentation, variable selection. Participate in the preparation of model documentation, ongoing performance assessments (supporting sponsor); execute MCA activities supporting sponsor. Work with stakeholders to manage identified data issues, system issues, modeling issues/ limitations and process issues, including root cause analyses, preparation of options/simulations to resolve issues, participate in Business Requirements and UAT. Support RWA results review process, working with Finance, Capital Controllers, Data Teams, and Business stakeholders. Analyze observations, trends, attributions around Retail RWA, prepare and present quarterly IROC (Independent Risk Oversight Committee) and address follow ups. Prepare material needed of RWA impacts and manage documentation submissions into regulatory notification process. Participate in writing up any update as needed related to documentation of Advanced RWA processes including, but not limited to, data flows, systems, handshakes, control standards and framework. Citi is continuing to strengthen its RWA processes. This consumer risk leader will be participating in this firm-wide effort. This leader must possess technical and quantitative skills, demonstrate familiarity with Basel capital adequacy models, and know-how of the global systems and data. This individual will interface with cross-functional teams within Infrastructure and IT groups, Risk and Reporting, policy teams and businesses to design, test and deploy standards and conduct monitoring. Qualifications Advanced Degree (Masters) in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering or other quantitative discipline is preferred. 10+ years of work experience, with 5+ years of experience in an analytical capacity required Demonstrated experience in development and/or implementation of Structuring and integration of broad and diverse data sources Technology infrastructure and processes RWA processes Stress testing aggregation Supporting Model related MRM requirements Understanding of Consumer Credit Profit & Loss Drivers preferred Excellent written and verbal communication skills, and be able to structure and write standards and manage governance documents, prepare presentations for executive level audience and familiarity with Power Point, Excel, Visual Basic Experience with Statistical Tools (Python, R, SAS, SQL, Model Builder, Xeno, Knowledge Studio) Detailed-oriented, high level of intellectual curiosity and strong sense of ownership. Leadership Competencies: Senior executive interactions - can present credibly to both large and small groups Excellent interpersonal skills – ability to distill problem objectives into practical analyses to enable decision making Displays flexibility to work well with varying personal styles and acts as a trusted partner by delivering superior service that is meaningful Takes personal responsibility to lead by example. Understands and appreciates diverse backgrounds. Demonstrates strong ethics Develops strong relationships across risk management and cross-functionally; High degree of comfort working with onshore and offshore teams Capable of effectively managing cross-functional teams outside of direct control Contributes to a positive work environment; shares knowledge and supports diversity; remains calm and optimistic under pressure Works well in a culture that is agile and capable of quickly responding to changes in the environment; embraces change and challenges status quo ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Portfolio Credit Risk Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Credible Challenge, Data Analysis, Laws and Regulations, Management Reporting, Policy and Procedure, Referral and Escalation, Risk Controls and Monitors, Risk Identification and Assessment, Risk Remediation. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Lecturer in Finance Location: University of Southampton Delhi, Gurugram, India Start Date: ASAP Salary: Competitive Overview The University of Southampton, in partnership with Oxford International Education Group (OIEG), is launching its first international campus in India, located in Gurgaon, Delhi. This initiative is a response to India's New Education Policy and represents a significant investment in transnational education. The new campus aims to provide Indian students with the opportunity to earn a globally recognised degree without leaving the country. Job purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the University of Southampton Delhi. The role holder will teach at undergraduate and postgraduate level in courses related to quantitative and/or computational finance and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded and successful the role holder will undertake research and knowledge exchange in line with the campus’s research strategy. More specifically, research expertise in areas such as asset pricing, time series analysis, derivatives, or fintech applications would be an advantage. The role holder will undertake leadership, management and engagement activities and will demonstrate collegiality by ensuring ‘Southampton Behaviours’ are embedded within their ways or working. They will be committed to high-quality education and support of learning and to building a vibrant student experience and community. Visible and collegiate, the role holder will be expected to contribute to all aspects of the campus’s activities including student recruitment and outreach. Key accountabilities/primary responsibilities Support the teaching objectives of the Unit by managing a range of contributions to its learning and teaching activities. Deliver teaching of the highest quality across a range of modules and to all levels, through lectures, tutorials, practicals and seminars. Directly supervise students, providing expert advice on learning best practice and helping with development needs. Promote the use of appropriate media to support student learning. Set and mark coursework and exams, providing constructive feedback to students. Monitor, evaluate and revise course design to ensure excellence and coherence. Identify areas where current provision is in need of revision or improvement, planning and developing innovative contributions to learning, teaching and assessment methods within the Unit as appropriate. Develop the research activities of the Unit by sustaining a personal research plan. Manage the application of a range of research methodologies, approaches and techniques appropriate to the type of research personally being pursued. Establish a national reputation for research and the enhancement of learning and teaching practice by sustaining the regular dissemination of findings through leading peer-reviewed publications, presenting results at conferences, or exhibiting work at other appropriate events. Plan and develop innovative research proposals, projects and funding bids as self-contained items or as part of a broader programme. Carry out management and administrative tasks associated with specified research funding, including risk assessment of project activities, organisation of project meetings and documentation and preparation of annual reports. To oversee and implement procedures required to ensure accurate and timely formal reporting and financial control. Contribute to the efficient management and administration of the Unit by performing personal administrative duties as allocated by the Head and by taking on appropriate Unit coordination roles. Provide expert advice in own subject area to other staff and students. Any other duties as allocated by the line manager following consultation with the post holder. Internal and external relationships Member of the Unit Department Board, Examination Board and of such Unit committees relevant to their administrative duties. New appointees will be assigned a senior colleague to guide their development and aid their integration into the Unit and University. Research priorities will be agreed within the strategic framework of the research theme of which they are a member. Teaching and administrative duties will be allocated by the Head of Business, within the context of the teaching programmes agreed by the campus Learning and Teaching Committee. Faculty members and other UoS colleagues to support teaching and research activities including faculty members in the UK and Malaysia. The role holder will act as a member of relevant internal committees and groups. Relevant authorities, industries, alumni, and other stakeholders. Special Requirements To attend national and international conferences for the purpose of disseminating research results. The position involves local and international travels as and when required. PERSON SPECIFICATION Qualifications, knowledge and experience DBA/PhD in Finance, Financial Economics, or a closely related field (e.g. Financial Engineering, Econometrics) Detailed understanding and knowledge of accounting/finance. Growing and consistent national reputation in accounting. Teaching qualification Track record of development and delivery of teaching at undergraduate and postgraduate level. Demonstrated success in delivering learning outcomes. Track record of published research. Proficiency with relevant tools/software, such as Python, R, MATLAB, or Eviews (Desirable) Membership of Higher Education Academy (Desirable) Membership of a professional accounting and finance body (e.g., AIA, ACCA, CFA, CPA, ICAEW, ICAS, CIPFA and CIMA). Experience of (more specific relevant processes/subject areas). (Desirable) Involvement in national and international events. (Desirable) Experience of teaching students where English is a secondary language (Desirable) Planning and organising Proven ability to plan and develop a range of high quality research and teaching activities, ensuring plans complement broader research and education strategy. Able to develop innovative research proposals and attract research funding. Proven ability to plan, manage, organise and assess own teaching contributions. Proven ability in the design of course units, curriculum development and new teaching approaches. Problem solving and initiative Able to identify broad trends to assess deep-rooted and complex issues. Able to apply originality in modifying existing approaches to solve problems. Experience in both academic research and practical financial modelling (Desirable) Management and teamwork Able to manage, motivate and coordinate research team, delegating effectively. Able to formulate staff development plans, if appropriate. Proven ability to manage and deliver own course units and team-taught course units. Proven ability to coach and support students/tutorial groups. Able to undertake coordinating role. Able to monitor and manage resources and budgets. Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development. Communicating and influencing Communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience. Track record of presenting research results at group meetings and conferences. Track record of delivering lectures and seminars in courses relating to different aspects of (subject area). Able to engage counselling skills and pastoral care, where appropriate. Able to persuade and influence at all levels in order to foster and maintain relationships, resolving tensions/ difficulties as they arise. Able to provide expert guidance to colleagues in own team, other work areas and institutions to develop understanding and resolve complex problems. (Desirable) Other skills and behaviours You will embrace the Southampton Behaviours relevant to your role and work to actively demonstrate these. You will act in a way that help maintain an environment that foster a culture of belonging, inclusion, diversity and equity. Understanding of relevant Health & Safety issues. Positive attitude to colleagues and students. Special requirements Able to attend national and international conferences to present research results. This job description is provided as a guide to the role. It is not intended to be an exhaustive description of duties and responsibilities and may be subject to periodic revision. Every applicant and employee has the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Within the Finance Risk Management Group in GRC, Market & Liquidity Risk is the independent risk management team covering market and liquidity risk at American Express. The team’s core responsibility is to design and execute risk measurement and controls across balance sheet management areas, including funding and liquidity risk and market risk. Reporting directly to the group head, the Director – Market Risk Oversight will be a responsible for providing strategic leadership and independent oversight of market risk management across American Express and American Express National Bank (AENB). The Director will work closely with senior management and business units to ensure effective identification, assessment, and mitigation of market risks. Key Responsibilities: Develop and implement market risk management strategies, policies, and procedures in alignment with the organization's risk appetite, regulatory requirements, and best practices. Provide strategic leadership and oversight to ensure policies and procedures are effective in managing the Company’s market risk exposures. Leverage analytical frameworks for independent risk assessment and deliver effective challenge on critical processes including asset-liability management, foreign exchange hedging, and investment risk management. Lead the development and enhancement of risk methodologies and metrics for assessing market risk exposures across products, portfolios, and business lines. Calibrate and monitor limits and escalation thresholds to ensure that all material market risks are mitigated and maintained within risk tolerance. Develop and lead a team of risk professionals located in the US and India Monitor trends, market developments, and regulatory changes to proactively identify emerging risks and opportunities for risk mitigation and optimization. Foster a strong risk culture and awareness of market risk throughout the organization through training, communication, and knowledge sharing initiatives. Minimum Qualifications: Undergraduate degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, or a related field. 7+ years of experience in risk management or finance; 3+ years of leadership experience. In-depth knowledge of market risk management processes, metrics, analytics, systems, and regulatory guidelines. Experience with asset-liability management (ALM), interest rate risk in the banking book (IRRBB), and foreign exchange (FX) risk management. Excellent verbal and written communication skills, combined with rigorous analytical and problem-solving skills and meticulous attention to detail. Proven ability to translate complex and disparate information into comprehensive and cohesive messaging for senior leadership, committees, audit, and regulators. Proactive in identifying issues, escalating key findings, and advising on recommended solutions to mitigate risks in a timely fashion. Strong leadership skills with a demonstrated ability to effectively hire, coach, train, and develop a team and to promote collaboration across geographies. Advanced proficiency in Excel and PowerPoint. Preferred Qualifications: Graduate degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, or a related field Prior experience is treasury risk management, including liquidity risk and capital management Knowledge of Funds Transfer Pricing Knowledge of SQL and Python CFA or FRM designation We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Title: Lead Portfolio Growth & Business Intelligence, Digital Banking. Location: Seawoods, Navi-Mumbai Experience: 8+ years Must be from a BFSI background Job Role Purpose & Objective : This position requires an experienced leader who can drive strategic initiatives leveraging data and analytics to enhance customer experience, optimize business performance, and ensure data-driven decision-making at all levels of the organization. The ideal candidate will have a strong background in banking, finance, and advanced analytics, with the ability to manage large, complex data sets and lead a high-performing team. KEY DUTIES & RESPONSIBILITIES OF THE ROLE: Responsible for: a. Decision Sciences (Modeling & Analytics) b. Business Intelligence (MIS Enablement / Data Visualisation; Reporting; Dashboards for Business, functions) c. Work with functional units to set up the data stack & for the bank d. Identify & implement the appropriate analytics stack for the Bank Detailed Note: - Develop and execute the data analytics strategy in alignment with the bank’s business goals and objectives. - Lead, mentor, and manage a high-performing team of data analysts, data scientists, and data engineers. - Establish best practices for data quality, data management, and reporting frameworks to ensure consistent, accurate, and accessible data. - Develop and implement advanced analytics models (predictive analytics, machine learning, etc.) to optimize key business functions such as credit scoring, risk management, marketing, and customer segmentation. Provide regular insights and actionable reports to senior leadership, highlighting trends, opportunities, and areas for improvement. - Utilize data visualization tools (e.g., Tableau, Power BI) to present findings in a clear and compelling manner. - Drive the creation and continuous improvement of business intelligence (BI) tools and dashboards for operational reporting, performance metrics, and decision-making. Support the bank in achieving its strategic goals by identifying key performance indicators (KPIs) and helping to define metrics that align with business objectives. - Identify opportunities for automation and process improvements within the data analytics ecosystem. - Stay updated on industry trends and emerging technologies in data science and analytics, ensuring the bank’s analytics capabilities remain cutting-edge Minimum Requirement of Knowledge & Skills: Expertise in managing large and complex datasets. Strong knowledge of data warehousing, data lakes, and data pipelines Strong ability to convey complex data insights to non-technical stakeholders, using clear and actionable language. Skilled in data visualization and making data-driven recommendations that resonate with diverse audiences. Expertise in using tools like R, Python, Tableau, and Power BI governance Educational Qualifications: B Tech / Master’s or equivalent degree in Computer Science, Mathematics, Econometrics, Statistics Total Experience: Min 8-12 years of experience in financial services – esp. unsecured lending, credit cards, consumer loans, with experience in driving business results; risk analytics Certifications (If any): Certifications in data analytics, data science, or machine learning (e.g., Google Data Analytics, AWS Certified Data Analytics) are a plus. If interested, share your CV to sampanwikilabs@gmail.com Show more Show less

Position Details Total Years of Experience: 2-9 Years Primary Technologies: SQL, Power BI, Excel, Python, Addnl: Azure Synapse, Databricks, Spark, Warehouse Architecture & Development The Business Intelligence (BI) Engineer is responsible for assisting the specified Human Resource team in the continuous management of all relevant analytics. This position will collect and analyze the data to measure the impact of initiatives to support strategic business decision making. This position is responsible for working with developers to provide the business at all levels with relevant, intuitive, insight-driven information that is directly actionable. The Business Intelligence Engineer will become closely integrated with business and build a strong relationship with business leaders. This position will work with multi-national teams in an Agile framework and design and implement actionable reports and dashboards, assisting in designing the broader information landscape available to the business. Primary Job Functions Collaborate directly with the business teams to understand performance drivers and trends in their area, provide insights, make recommendations and interpret new data and results. Design reports and dashboards for consumption by the business; oversee the development for production. Perform pro forma modeling and ad hoc analyses. Keep up to date on the best visualization practices and dashboard designs. Maintain standardized templates for reports and dashboards. Ensure standardization and consistency of reporting. Perform deep dive analyses into specific issues as needed. Define data needs and sources; evaluate data quality and work with data services team to extract, transform and load data for analytic discovery projects. Ensure BI tools are fully leveraged to provide the insights needed to drive performance. Interface closely with technology partners to manage analytical environment and acquire data sets. Utilize statistical and data visualization packages to develop innovative approaches to complex business problems. Analyze and communicate the effectiveness of new initiatives; draw insights and make performance improvement recommendations based upon the data sources. Use quantitative and qualitative methodologies to draw insights and support the continuous improvement of the business. Analyze initiatives and events utilizing transaction-level data. Ensure that appropriate data-driven reports and customer behavior insight continuously flow to management to help improve quality, reduce cost, enhance the guest experience, and deliver continued growth. Required Qualifications Proficient in working in Microsoft Azure services and/or other cloud computing environment Experience with Database Management Systems (DBMS), specifically SQL and NoSQL. Knowledge of an enterprise data visualization platform, such as Power BI, Big Query Advanced analytical and problem-solving skills Strong applied Algebraic skills Working knowledge of business statistical application and econometrics Project management skills Ability to digest business problems and translate needs into a data-centric context Ability to synthesize and analyze large sets of data to yield actionable findings Strong attention to detail Excellent verbal and written communication skills Handle multiple projects simultaneously within established time constraints Perform under strong demands in a fast-paced environment Work professionally with customers and co-workers to efficiently serve our customers, treating both with enthusiasm and respect If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com Show more Show less

Category Data Science Experience Sr. Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Associate- Data Science About the Company At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt, and deliver a better way for our customers, the financial industry and for each other. As a data scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description At DataLabs Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. In the DataLabs Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition. Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. How will you make an impact in this role? The Forecasting Team – within Global Capacity and Contact Management (GCCM) has one main objective – the accurate prediction of demand – case setups, daily call/chat volumes and average handle times, which allows Capacity Staffing and Scheduling to deliver against customer, shareholder and employee goals. Our Team is responsible for providing end-to-end demand forecasts across all customer service networks in the US and around the World. We are also responsible for monitoring channels of contact trends and providing deep-dive analytics to support configuration and customer satisfaction enhancement decisions. The Analyst - Planning position on the Forecasting Team will specifically play a key role in developing Global Short Term and Long-Term forecasts for case setups, chat and call volume segments. Job Responsibilities: Develop Global Short-Term and Long-Term forecasts for case setups, chat and call volumes. Leverage complex data sources to extract meaningful insights. Conduct strategic analyses to inform business decisions and actionable recommendations. Develop and automate reports/dashboards to inform partners and senior leaders. Collaborate and effectively partner with multiple functional teams to acquire and apply knowledge of business growth initiatives, risk/financial actions and/or process optimization programs to identify risk and opportunities. Manage in a global 24x7 environment with the potential for dealing with crisis/contingency plan situations. Develop insightful content and analysis for communication with partners. Required Skills/Qualifications: Rigorous analytics/econometrics to effectively solve complex business problems Ability to build strong relationships in a cross-functional environment, interacting with and influencing partners in Capacity Planning, Finance, Scheduling and Real Time Optimization. Strong programming/analytics skills are required (SQL, PYTHON, HIVE etc.). Working experience in reporting (i.e. data visualization, PowerBI, Tableau) Strong written and verbal communication skills Experience working with large datasets; knowledge of Hive, SQL, Google Big Query Cloud or other programming language preferred. Experience working with machine learning algorithms to develop best in class predictive modeling (including neural networks) preferred. Academic background: Advanced degree in Statistics, Economics, Applied Economics, or Business Analytics. Master’s degree preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML) Show more Show less

About Us At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About The Role The Associate Manager role is critical to making this happen and will provide an opportunity to independently validate a diverse suite of credit risk models including Capital, Decisions, ECL (Expected Credit Loss) and Stress Testing, to derive meaningful insights. This role caters to the end-to-end assessment of in-use, new and tactically remediated models. It may also involve establishing effective processes to enhance validation activities. Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours. Role Location: Manyata Tech Park, Bengaluru Role Type: Permanent, Full Time What will you bring? To grow and be successful in this role, you will ideally bring the following: Advanced statistical software skills, including SAS, R, Python, SQL. Experience in Capital/Decisions/ECL/IFRS 9 models across retail and/or wholesale portfolios. Experience in validating/building credit risk models (e.g., capital models) across retail and/or wholesale. Knowledge of Basel regulatory framework, capital measurement techniques (incl. PD, LGD, EAD models) and IFRS 9. Excellent written and verbal communication. Problem solving skills and attention to detail. Post graduate qualifications in statistics, econometrics or mathematics. Experience in AI/ML techniques would be an added advantage. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you. So why join us? From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive. But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career. We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more. At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 96503. Job Posting End Date 30/05/2025 , 11.59pm, (Melbourne Australia) Show more Show less

Who We Are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What You Will Be Doing The successful candidate will use and explore various innovative economic, econometric, and statistical modelling tools that best help us address our clients' strategic objectives. A typical modelling and analytics project starts with the identification and conceptualization of our clients' needs and objectives. This is then followed by an evaluation of all possible solutions by their feasibility given available data and the client's objectives. The final stage often involves the identification of the most optimal economic or econometric solution. As the data analyst gains experience in building client solutions, we will look to involve him/her in project opportunity screening and proposal build, developing modelling updates as well as driving client presentations and/or meetings. Key drivers - Research and analyze economic, demographic and industrial data from around the world. Use econometric modelling techniques as well as analytical judgment to come up with custom solutions for our clients. Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions. Presentation and visualization of model results to a client in an intuitive manner Draw conclusions based on the analysis of our results. Monitoring academic press for latest developments in economics and statistics to make sure we use cutting edge analytical techniques. Proper documentation of each project and sharing best modelling practices Commission and organize research, standardization and modelling by freelance associates in Lithuania and around the world. Liaise with sales and marketing department to evaluate client inquiries. What You'll Need- Excellent communication skills and English fluency (both oral and writing) Understanding and interest in international economic, demographic and industry trends A good working knowledge of R is Mandatory Experience in SQL, SPARQL, JavaScript, HTML or similar would be an advantage. Excellent analytics skills Excellent organizational skills and creativity The confidence and ability to take the post forward with the minimum of supervision. A strong knowledge in mathematics /statistics/ econometrics A genuine interest in Artificial Intelligence and related fields like data science and Machine learning would be an advantage. knowledge in economics would be an advantage. M.A/MSc. degree in economics, statistics, econometrics, mathematics, physics, operation research or similar field. Highly skilled candidates with a BA/BSc. will also be considered. Candidates with B.tech/Mtech or MBA will not be considered What you'll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more....!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Responsibilities Job Responsibilities: Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions. Qualifications Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Show more Show less

About Tiger Analytics Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role The position of Quantitative Technical Advisor will be designing and validating mathematical models used by the bank and conducting mathematical analysis of the data in the Market Risk and Counterparty Credit Risk division. Analyzing and building sector / industry risk assessment mathematical methodologies and quantitative measurement techniques for assessment of the credit risk exposures and evaluation of the structured products. Roles & Responsibilities: Monitor and validate aggregate model risk in alignment with bank’s risk strategy You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models Manage a growing Model Validation team responsible for independent first line validation of predictive and generative AI models Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness Interpret data to recognize any potential risk exposure Development of challenger models that help validate existing models and assist with outcome analysis Ensure compliance with the model risk monitoring framework Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Exposure to CCAR/CECL/IRB Models are preferred. Evaluate the Bank’s compliance with SR 11-7 regulatory guidance" Qualification: Education: Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar Deep knowledge in Quantitative methods / econometrics/ statistics. Strong in Regression analysis, Time series Analysis, optimization. Knowledge of Risk Models and Optimization algorithms. Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Show more Show less

Applications are invited for the Post of Research Assistant for the Research Committee of Institute of Chartered Accountants of India (ICAI) to the VIT Business School (VITBS) Vellore Institute of Technology (VIT), Vellore, T.N, India. Title of the Project : “ Tax-to-GDP Ratio and Sustainable Growth: An Empirical Analysis of India's Economic Development ”. Number of posts : 01 Qualification : Ph.D in Finance (completed or submitted thesis) / MBA in Finance/ Financial Economics from a recognized university or equivalent. Desirable (if any) : Candidates have hands on experience on analysis of secondary data using Python/Machine Learning/E-Views/ Amos and very good in research paper publications. Stipend : Rs. 25,000/- per month Sponsoring Agency : Research Committee, The Institute of Chartered Accountants of India (ICAI), New Delhi. Duration : 3 Months Principal Investigator : Dr. Rajesh Mamilla Professor Grade-1, VITBS, VIT-Vellore. Send your resume along with relevant documents pertaining to the details of qualifications, research publications, experience (if any) and latest passport size photo etc. on or before (23/06/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.