We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Identify and lead high-impact opportunities to modernize workflows and strengthen alpha generation across fixed income and macro strategies, ensuring alignment with the evolving needs of the platform. Design and evolve an advanced performance diagnostic platform to better understand investment strengths and weaknesses, promote transparency, and fuel a cycle of continuous improvement. Partner across GLM and LMI to integrate innovative thinking into strategic planning, leveraging both internal insights and external best practices. 15+ years of experience in capital markets, investment strategy, or quantitative finance, with a track record of leading innovation in institutional investment environments. Deep expertise in fixed income or macro strategies, portfolio construction, and applied quantitative methods. Demonstrated ability to lead cross-functional teams and deliver technology-driven investment solutions. Proficiency in investment analytics, data architecture, and programming tools such as Python, SQL, Dash, and Power BI. Bachelor's degree required; advanced degree or certification (e.g., MBA, CFA, CAIA) strongly preferred. Builds the Business: Shapes long-term strategy through insight, foresight, and execution at scale. Drives Commercial Impact: Translates ideas into innovations that enhance portfolio performance and investment advantage. Delivers Through People: Develops talent and fosters a collaborative, high-performance team culture. Models Corporate Citizenship: Collaborates transparently across the enterprise and leads with integrity and shared purpose. Ensure initiatives are operationalized across the investment platform and embedded into daily decision-making. Manage, mentor, and develop a high-performing team, fostering a culture of intellectual curiosity, continuous learning, and applied experimentation. 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Reinforces a culture of creativity and holistic thinking into product and business teams. Leads Discovery efforts across business, product, data and technology teams that provides insights for optimizing existing processes and products to enhance efficiency and end user experience. Analyzes product performance data to identify patterns, measure success, and identify areas for improvement. Collaborates with stakeholders to define OKRs and KPIs and regularly review to identify performance and future opportunities for improvement Provides clear and detailed requirements to development teams, ensuring they have the information needed to build the product. Monitors external landscape through research, horizon scanning and competitive trends to proactively bring recommendations and insights to end users for improvements or innovative solutions. This may involve reading industry publications, attending conferences, and networking with other professionals to focus on opportunities for continuous improvement Identifies opportunities for improvement and efficiency across operations through productivity and automation solutions, including identifying new tools to address gaps or obstacles for end users to enhance and evolve overall ways of working. Works with Product Owners and Program Managers to identify dependencies across products, addressing and accounting for as needed in business transformation plans and activities. Assists in developing, testing, and deploying solutions for LMI, while keeping goals, business priorities and new or existing technology and methodologies in mind to eliminate redundancies and ensure consistency and effectiveness * Ability to approach problems methodically and come up with creative and effective solutions. Ability to empathize with users and understand their pain points and needs. Comfortable navigating ambiguity to drive business outcomes. Understand analytical tools and techniques to interpret data, identify trends, and draw actionable insights. Understand basic statistical methods and how to apply them to analyze product performance and user behavior. Hands on experience in designing and conducting user surveys, interviews, and focus groups to gather qualitative insights. Proven experience in communicating effectively with various stakeholders, including product managers, designers, developers, and executives. Curiosity to understand user behavior, market dynamics, and emerging technologies. Facilitate cross-functional collaboration and communicate effectively to a wide variety of audiences at all levels of the organization. Understand credit investments, including Limited Partnerships, direct private investments, structured products, and other marketable securities is preferred. Prior experience with public and private credit investments and planning tools such as Simcorp, eFront, Anaplan, Aladdin, Cobalt, and Burgiss a plus. Minimum of 4 years of finance or investment operations/technology implementation and Agile experience. Bachelor`s degree required. 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Work to build and support feedback and measurement initiatives, capturing data to inform the evolution of our resources and where gaps may exist. 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Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions. Identify and tests hypotheses as part of building and developing predictive and generative models for business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to specific client needs. Develop solutions to loosely defined problems with guidance from teammates as you iterate on approaches. Regularly engage with the data science community and participate in cross-functional working groups. Assistant Director: $149,000 - $197,500. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g. scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g. computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand the business problem, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. 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Lead/participate in the analysis, design, and technical implementation of functional enhancements for the Guidewire product suite, adhering to provided technical specifications and business requirements. Drive high-quality software releases with efficient, agile development methodologies while balancing speed-to-market with long-term scalability. Partner with enterprise architecture, infrastructure, data, and security teams to ensure technology decisions support the broader enterprise vision. Ensure quality outcomes of the teams by adhering to engineering and best practices; own product health including security, stability, reliability, and communication for major system incidents. Perform complex system designs and participate in code reviews. Collaborate closely with Product teams to ensure system, technical, and product architectures are aligned with business objectives. Minimum 5 years' experience in a practice relevant domain including delivering software solutions in an agile environment. Minimum 3 years in a leadership role managing teams of engineers and architecture.Proven experience leading large engineering teams (100+ engineers) in distributed/global environments. Passion for building engineering culture, mentoring leaders, recruiting senior and junior talent, and driving high-impact teams. Budgeting and financial oversight, including cost estimation, resource allocation, and financial reporting. Exceptional ability to collaborate and build consensus with cross-functional stakeholders, particularly Product Management. Excellent communication, analytical ability, consultative, presentation and management skills. Budgeting and financial oversight, including cost estimation, resource allocation, and financial reporting Experience building P&C Policy Administration system using Commercial Off The Shelf (COTS) product (preferably Guidewire). Track record of modernizing legacy technology stacks and leading digital transformation initiatives. In-depth knowledge of technology standards and guidelines. Deep expertise in wealth management or asset management technology. Bachelor's or Master's degree in Computer Science, Engineering, technical or business discipline or equivalent experience. Build, lead, and scale a world-class software engineering team with a globally distributed footprint, instilling a culture of innovation, collaboration, and technical excellence. Establish a strong engineering culture that emphasizes continuous learning, technical craftsmanship, and accountability. Participate in the development of business and/or tech vision, critical success factors, and operating plans. Develop and communicate unit vision, strategies, objectives, key results, and plans. Evaluate team and individual performance and make compensation recommendations. Initiate and foster business partnerships with current and potential clients, vendors, and tech executives. Develop relationships that support increasing efficiency and effectiveness and balance individual client needs with business priorities. Establish the financial plan for the unit and manage to plan. Manage capacity planning and strategy for hiring, managing, and deploying staff across teams to enable optimal alignment to business needs; responsible for sourcing strategy to meet capacity needs, including vendor management and offshore strategy, in a cost-efficient manner. Initiate process and organizational improvement activities which enhance overall effectiveness, seeking ways to improve human resource and other management processes. 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Accountable for collaboratively creating our Master Data Management product vision and alignment with strategic priorities with stakeholders. Contributes to the development of the Data Management portfolio vision. Communicates the Master Data Management vision as a product strategy to their squad(s)/team(s) and other squads/teams outside their portfolio & functional area, as well as executive leadership. With the squad, accountable for developing and achieving product level KPIs. Manages product(s) with a high degree of strategy, scope, and complexity, balancing short term needs of the business with our product and portfolio vision. Owns and maintains the product backlog and is accountable for its contents and prioritization. Accountable for clear, actionable user stories. Sets priorities and actively participates in squad/team quarterly planning. Contributes to priorities for and actively participates in portfolio quarterly planning. Sets expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in squad/team demos, retrospectives, and all other ceremonies. Works daily with the agile working group clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy. Leads IT and business leadership to align development and business goals and priorities while working with stakeholders and squad/team to remove roadblocks to execution. Proactively monitors the impact of their product on others in the ecosystem. Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Drives alignment with stakeholders to understand the impact that their products' regulatory, compliance, and other industry constraints will have on other products in the portfolio. Negotiates with internal and external squads/teams to set aligned priorities among squads/teams both within and outside the portfolio. Monitors and maintains the product health; conducts data quality assessments, producing, recommending, and implementing measures to improve mastered data accuracy, completeness, and consistency. Data cleansing of mastered data, and the remediation of data that can feed into mastered data is outside the direct accountability of the Mastered Data Management product owner; a strong collaborative partnership with the accountable peers will be needed to inform future investment cases to realize and maximize the value of mastered data. 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Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Manages total cost of ownership, advocates for the removal of technical debt, assists and supports team effectiveness. Ensures application or portfolio of platforms are enhanced and maintained to meet business functional need. In partnership with Product Owner, identifies key performance indicators to measure success of work product. Understands the business domain and product vision; in partnership with other team members (Scrum Master, Architect, Product Owner, etc.) aligns work of the team toward the shared goals for the product. Monitors team effectiveness and addresses issues affecting team productivity. Supports team members in addressing or escalating issues to make the overall team more efficient. Removes roadblocks and obstacles; manages interdependencies when needed. 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May establish financial plan for the application, portfolio or overall unit and manages to plan. May lead efforts to evaluate, select and implement new technologies to enhance applications or platforms. Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years' experience in a practice relevant domain including delivering software solutions in an agile environment. 3 years in a leadership role preferred. Able to manage complex technology development concepts, capabilities and maturity. Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment and ability to effectively liaise with cross-functional stakeholders and optimize teams. Demonstrated ability to operate collaboratively and build consensus. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}