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Senior Investment Data & Analytics Specialist

External
Allstate logoAllstate · Chicago River Point
ContractOn-siteToday
PythonSQL
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Requirements

  • Analytics

Benefits

Core CapabilitiesExceptional analytical and critical thinking skillsAbility to solve ambiguous, multi-dimensional problems independentlyStrong curiosity and willingness to challenge conventionEffective communicator to both technical and investment audiencesOwnership mentality and a commitment to shepherd delivery from start to finishExperience10+ years in a hands-on investment analytics, data, or a related roleA history of building proprietary applications alongside vendor systemsStrong fixed income expertise (credit, municipals, rates)Experience working with portfolio management and research teamsInsurance asset management experience is a plusFamiliarity with investment performance and attribution methodologiesTechnical SkillsStrong proficiency in SQL and pythonFamiliarity with enterprise investment platforms such as AladdinExperience with data providers - Bloomberg, S&P, CreditScope, Intex, Octus, etcAbility to enhance workflows by integrating AI toolsCompensation offered for this role is 158,000.00 - 205,000.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.Allstate generally does not sponsor individuals for employment-based visas for this position.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 Know Your Rights" poster click " here ". This poster providesVision insurance

Additional Information

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description We're looking for a sharp, intellectually curious problem-solver to join our Investment Analytics team. This role is built for someone who thrives in ambiguity, tackles complex questions head-on, and doesn't stop when the data doesn't immediately add up. This role requires a critical thinker with vision who can propose scalable solutions and integrate those with long-term roadmaps. You will often be on the leading edge of our development effort and your ideas will heavily inform our path forward. This role does not have direct management responsibilities, but this person will be influential in directing the efforts of our technology partners. You'll sit at the intersection of investment strategy, research, analytics, and data, partnering directly with senior leaders to deliver insights that influence portfolio decisions. This is a front-office-facing, high-visibility role focused on building analytics capabilities. Own the entire delivery lifecycle, from design to production, for proprietary applications and processes that enhance how teams evaluate performance, risk, and portfolio positioning Iterate with portfolio managers, analysts, and senior leaders to refine requirements and define outcomes for ongoing development. Propose how new tools will be built, and construct prototypes to test, illustrate and experiment on analytics and workflows Work closely with quant and technology teams to scale new analytics and tools to production applications with a long-term view Own the delivery of complex analytical applications to provide clear, actionable insight for portfolio managers and research analysts Redesign legacy processes to enforce proper governance and bring clarity to ambiguous, multi-system workflows Integrate new data sources and vendors into investment workflows Partner with other teams to troubleshoot analytical outputs across performance, risk, and portfolio analytics Convert ad hoc analyses into repeatable, scalable solutions Mentor junior team members by sharing expertise, providing guidance, and supporting their development


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