7 jobs found in Northbrook

Location: Northbrook, IL Duration: 6 months Our client is looking for Java tech lead candidate. - provided by Dice

The Allstate Corporation is the largest publicly held personal lines property and casualty insurer in America. Allstate was founded in 1931 and became a publicly traded company in 1993. We are listed on the New York Stock Exchange under the trading symbol ALL. Allstate is widely known through the "You're In Good Hands With Allstate " slogan. As of year-end 2013, Allstate had $123.5 billion in total assets. In 2014 Allstate was number 92 on the Fortune 500 list of largest companies in America. Where good people build rewarding careers. Think that working in the insurance field can t be exciting, rewarding and challenging? Think again. You ll help us reinvent protection and retirement to improve customers lives. We ll help you make an impact with our training and mentoring offerings. Here, you ll have the opportunity to expand and apply your skills in ways you never thought possible. And you ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life. Summary Risk analytics spans a broad set of empirically-based disciplines (applied statistics, applied econometrics, applied mathematics, algorithmics / optimization, and machine learning / data science) applied to and across all the major risk silos (credit, market, operational, underwriting, liquidity, and model risk). We are seeking experts in these fields to apply their training and experience to optimize risk-and-return business decisions in the Performance and Analytics team within Allstate s Enterprise Risk and Return Management group. The Risk Analytics Data Scientist is responsible for aligning with and contributing to corporate objectives by identifying and developing non-siloed, cross-disciplinary solutions that will enable Allstate to generate profitable market share growth. He/she is accountable for using data and non-trivial statistical/econometric code that in most circumstances, seamlessly and directly translates into material business decisions for the firm. This includes developing original-yet-defensible methods for efficient and effective risk transfer and risk allocation, as well as building predictive models that enable Allstate to make better decisions and win in the marketplace. We believe that developing ourselves and our colleagues is the best investment Allstate can make. To this end the Performance and Analytics Group 1) sponsors symposiums including topics we develop and apply in our work, such as the capital consequences of algorithm choice when enforcing positive definiteness; new and innovative approaches to extreme value theory with a focus on heavy-tailed distributions; VECM, granger causality, and impulse indicator models for forecasting in scenario analytics and stress testing; and measuring tail dependence in large portfolios with diverse marginals; and 2) strongly encourages and funds attendance of relevant practitioner and academic conferences. Job Description This role is responsible for leading the use of data to make risk-and-return analytics decisions, with some focus on liquidity risk. This includes, more broadly, the development and management of predictive modeling and the design and development and vetting of original methodology. We place a premium on statistical/econometric empirically-based coding expertise in at least one major relevant language (e.g. SAS, Matlab, Python, R, C++) as this will serve as the basis by which the abovementioned business decisions are made. More specifically, this role will leverage the candidate s experience with various approaches both established and derived, original methods to estimating and managing the major risk types to effectively and efficiently drive capital decisions. We highly value a very strong curiosity factor in exploring / understanding datasets containing covariates with complex relationships, appropriately tempered by the need for provable rigor and scientifically defensible and replicable methods based on modular, transparent, and well-documented code. This role will manage complex projects and require some mentoring as it will have direct reports. The hiring team can consider individuals located across the United States and will allow for this employee to be home-based with the expectation of regular travel to our Northbrook, IL headquarters. Responsibilities Uses best practices to implement and develop advanced statistical, econometric, and machine learning techniques to build risk analytics models that directly address material business needs. Familiarity with copulas and related methods is highly relevant. Incorporates independent replication and model validation methods into the model development process and understands the necessity for this, as well as the extreme efficiency gains that result from this best practice. Knowledge of multiplicity/FDR issues and the ability and expertise to avoid overfitting. Familiarity, if not expertise with regularization methods is highly relevant. The ability to boil down, without dumbing down, is critical: communicates effectively to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes. Provides stakeholders the opportunity to influence the direction of the work via feedback loops. Develop and execute non-siloed, cross-disciplinary solutions to complex, non-textbook business challenges. Works on data and complex business problems to drive improved risk-and-return business decisions and results by designing, building, and partnering to implement the right models for the right problems (e.g. Hadoop is not necessary (or desirable) for mere gigabytes of data, and random forests is not necessary (or desirable) when OLS conditions are sufficiently met). Can identify new areas of data, research and methodology for solving relevant risk-and-return business challenges. Collaborates the with team to understand the business problems to identify the optimal methodological, and modeling (methodlanguage/platform), approaches. Mentors and develops junior data scientists. Qualifications Master s or PhD degree or concentration in a quantitative field such as statistics, econometrics/economics, data science, applied mathematics, computer science, and/or finance. Peer reviewed publications & related awards are highly valued / desired, as are technical conference decks. Academic honors, top standardized test scores, scholarships and fellowships are highly valued / desired. Serving as referee / reviewer / editor of academic and industry journals is highly valued / desired. Best-of-breed expertise in working with statistical software such as SAS, MatLab, Python, R, C++. Demonstrated expertise using statistical and econometric modeling and/or machine learning techniques to build models of nontrivial size and complexity that have driven company decision making. Demonstrated experience incorporating independent replication and model validation methods into the model development process. Demonstrated experience and ability developing and executing non-siloed, cross-disciplinary solutions to complex, real-world, non-textbook business challenges. Knowledge of advanced modeling techniques, and the experience to know how to select, apply, and test the right models for the right problems. Demonstrated ability and experience to provide both written and oral interpretation of highly specialized terms and data, and to present to others with varying levels of expertise to achieve buy-in to the right approaches. The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands . As a Fortune 100 company and industry leader, we provide a competitive salary but that s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you ll have access to a wide variety of programs to help you balance your work and personal life including a generous paid time off policy. Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click here for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click here for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the EEO is the Law poster click here . This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs To view the FMLA poster, click here . This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. - provided by Dice

Big Data ETL SDET/Architect We are unable to sponsor as this is a permanent full time role Responsibilities Design, develop, implement and maintain modifications to test automation architecture and functional, mobile, performance or web services testing framework Lead in definition and implementation of direction on automation techniques and adherence to standards Create and validate automated scripts that support Continuous Integration/Continuous Delivery pipeline Qualifications Bachelor s degree in a technical field or equivalent relevant work experience. 4 years of manual & automation testing experience of N-tier applications 4 years of Test Automation Development experience with open source and market-leading vended solutions creating functional, regression, or performance tests in UI & ETL (Services would be plus) 2 years of Relational Database Management (Oracle, SQL, MySQL) SQL and Data Validation as well as development experience with Python and Java. 2years experience with Jenkins, JIRA, Git, TFS, Xcode, Android Stuido, Appium, Visual Studio, etc. If this is an opportunity that you're interested in please email your resume to: Khonnrequesttechnology.com To view other job opportunities please visit our website at Requesttechnology.com - provided by Dice

ERP Support Analyst If you are an ERP Support Analyst, please read on What You Need for this Position Support ERP Systems (SAP, JDE, MS Dynamics) SQL Understanding of the lifecycle of a distribution or manufacturing business Comfortable working with any rank of people within a company What You Will Be Doing Provide support for ERP systems Provide software, database, and deployment support for ERP System users Work closely with the Client Services, Development, and DevOps teams So, if you are an ERP Support Analyst, please apply today Applicants must be authorized to work in the U.S. CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

Location: Northbrook, IL Duration: 6 months Our client is looking for Fullstack Java Developer. - provided by Dice

React Developer. North Brook, IL. Long term Contract Job Description: Resource must have developed single page applications Resource must have strong knowledge in javascript, CSS, React Backbone knowledge is desirable Resource should have strong Communication skills and ability to interact with clients Resource must have worked on GIT, Bitbucket, VSCode, JIRa Scrum knowledge is desirable Resource should deploy the code in lower/production environment by scheduling the change in ServiceNow Resource should be able to understand the mockups and able to develop the web pages. Resource should have strong problem solving skills Resource should have the ability to co-ordinate with other developers and delivery the production Resource should update the develop status in JIRA tool to track - provided by Dice

Sr Demand Analyst M. Holland is a leading international distributor of materials, service and solutions to the thermoplastics industry, providing suppliers with the most strategic channels to market, offering innovative sourcing and supply chain solutions to its clients, and providing talented people with rewarding career opportunities. Since 1950, a deep commitment to personal relationships has formed the core of the company’s heritage, its culture, and its vision. Headquartered in Northbrook, Illinois, M. Holland sells in excess of 1.5 billion pounds of plastic resin to more than 4,000 clients in 50 countries annually. The company is serious about its brand statement ‘’ We Take Plastics Personally” and it is committed to transforming the plastics experience for clients, suppliers and its people. Summary The Senior Demand Analyst is responsible for all forecasting activities associated with customers and products. The Analyst creates and maintains forecast models for customers, incorporating business intelligence and forecast information gathered from the commercial team, finance, product management team, and other sources. This role is the integration point with the sales and commercial organization and liaison to Client Experience and Logistics. The Sr. Demand Analyst will have knowledge in end to end supply chain ability with a firm understanding of Sales and Operations Planning. Critical Activities Develop forecasts based on customer demand, strategic mapping, market insights, sales, statistical forecasting inputs, and historical trends with revenue, profitability and inventory goals in mind for 12-24 months’ horizon Develops and maintains monthly demand forecast down to Item/Location level, using the forecasting application (ie ForecastPro, etc.). Prepare item/product family forecasts in conjunction with product managers, Sales, and Marketing. Communicate results to Buyers and Supply Chain Managers. Improve forecast accuracy and reduce “Out of Stocks”. Establish one version of consolidated forecast (volume) in alignment with commercial teams for current and following year. Lead and/or participate in S&OP activity, including “Demand Review”, “Demand Consensus”, “Stage Gate / Commercialization Review”, and partner in Supply-Demand balancing meeting to optimize interdependencies as part of S&OP process for Plastics Market. Utilize variety of forecasting techniques to analyze market and product trends to develop long range and seasonal demand plans. Analyze risks and opportunities in the Business Demand Plan across different technologies associated with Plastics Market. Utilize Demand Planning exception reports to identify and resolve potential issues. Perform weekly root cause analysis and take proper actions with the Sr. Demand Analyst, etc. Execute documented process flows, rules, and standards relevant to Inventory Management Demand Planning. Partner with Supply Chain Managers, Buyers, Product Managers, and Commercial team in highlighting surplus inventory to drive trapped revenue opportunities, promote efficient cash flow, and reduce inventory write-off. Accountable to Service and Inventory KPI’s. Ensure the Demand Planning process is conducted on agreed cycles. Measure forecast accuracy, forecast bias, inventory turns, slow moving and obsolete inventory to maximize revenue and improve data integrity and continuous improvement of processes. Provide stocking logic recommendations based on demand history and business intelligence provided. Initiate, lead, and/or participate in root cause analysis and corrective action for demand related issues. Develop and qualify demand solutions applications (software, ERP, etc.). Provide stocking logic recommendations based on demand history and business intelligence provided. Recommend, design, and implement demand exception tools. Develop and document process flows and ways of working for demand process(es). Assist Data Analysts in developing reports that ensure quality and effectiveness of data and allows appropriate and timely KPI’s. Determine opportunities for improvement in current processes or gaps in workflow. Utilize Continuous Improvement methodology to recommend and build improved tools or processes. Supports environment of continuous learning by building skills, earning credentials, and increasing responsibilities Demonstrates commitment to continuous learning by building skills, earning credentials, and increasing responsibilities Adopts MHU (university) by leading by example and genuinely encouraging others Supports other employee programs (e.g. internships, leadership, and commercial development Knowledge & Skills Advanced level skill in Microsoft Excel (for example: functions, inserting charts, pivot tables, Solver/Data Analysis tool). Knowledge of Database Applications (Access or Business Objects) Ability to apply mathematical concepts such as algebra, probability, and statistical inference to practical situations. Ability to communicate technical information clearly and simply. Ability to communicate cross-functionally and influence stakeholders to make decision. Possess knowledge of Six Sigma/LEAN. Minimum of 1 year of experience demand planning with increasing levels of responsibility in a distribution, commodity-based, or a closely aligned sector in North America Minimum of 3 years of experience demand planning with increasing levels of responsibility in a distribution, commodity-based, or a closely aligned sector in North America An undergraduate degree is required for this position, and an advanced degree would be considered an asset. APICS certification is a plus. To learn more about M. Holland, please visit www.mholland.com M. Holland is committed to creating a diverse environment and is proud to be an equal opportunity employer.