2 Analytical Programming Jobs

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,

Req ID: 71958 Department: Risk Strategy & Transformation - Chief of Staff Division: Risk Location: Bengaluru About Us At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role The mission of the Risk Transformation Project is to provide cutting edge risk management services, across group, wholesale and retail risk areas to deliver a better banker and customer experience leveraging data and business rule focused solutions. As an Analyst you will optimise end-to-end customer journeys and improve the customer experience by devising innovative solutions, services, products or propositions. You will work to solve complex problems using a range of techniques and will be a core conduit between the engineers and the business. The role requires strong engagement and collaboration with internal stakeholders and external partners. To be successful in this role you will bring your strong communication skills, technical expertise and analytical/problem solving abilities to drive tangible solutions allowing the Tech Area to fulfil its mission statement. You will also have a strong background in software delivery and systems implementation. What will your day look like You have exceptional stakeholder management and relationship building skills, with the ability to influence outcomes at all levels of the business. You are able to analyse data and business/system processes to identify gaps. Draw out insights and present outcomes for data driven decision making. Source data from a variety of sources to combine, synthesise and analyse to generate insights. Address and solve complex business issues using large amounts of data. Strong data visualisation skills with ability to present data dynamically to solve key business questions. You have an intense passion and curiosity for customers, their needs and wants, putting them at the centre of everything you do. You are able to explore customer needs in a data-driven way, develop and implement innovative solutions, test the outcomes, and iterate. You are able to bridge the gap/translate business requirements into well-defined features/user stories/acceptance criteria to be consumed by engineers to build and deliver awesome outcomes for our customers. You can proactively identify and assess risks, devise appropriate mitigants & controls and comply with risk management processes and policies. You have a strong execution mindset and ability to deliver quality outputs within required timeframes. You are able to support other analysts in your squad and influence the outcomes where required. What will you bring Significant experience / expertise with banking & financial services, especially in data heavy roles Understanding of how risk plays a role in wholesale and retail lending and processes Understanding of how credit risk management activities are used within the banking environment, including an overarching understanding of the impacts that legislation and regulations have on operations Working knowledge of analytical programming languages such as SQL Proven data wrangling skills to quickly understand and validate different data sources to build effective, sustainable analytical assets Desirable to have knowledge and experience with Cloud Technologies (e.g. GCP, AWS) and big data technologies like datalake,