Senior Analyst, Amazon Analytics

AVP, Digital Analytics

S & OE Manager

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

Responsibilities: <ul><li>Lead analytics project assignments from scoping to delivery and solve business problems through basic to advanced analytics as applicable.</li><li>Regularly collaborate with US counterparts across the POD areas(Acquisition/Lifecycle/Products) to drive their priorities &amp; deliverables</li><li>Acquire proficiency with different data tools, software, techniques to improve current capabilities and to create new analytics and data science solutions</li><li>Lead a variety of short, medium &amp; long-term projects with Individual &amp; team from end to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.</li><li>Deliver projects adhering to timelines, accuracy &amp; compliance with meticulous project management</li><li>Build a culture of delivering insights instead of data &amp; reports. Deliver strategic insights across diverse open-ended projects like payment rates, Attrition analysis, activation analysis, lifecycle campaigns etc.</li></ul> Requirements: <ul><li>Bachelor’s degree in any discipline with 3+ years of experience in a financial services or in lieu of degree, minimum of 5+ years of experience in a financial services.</li><li>3 to 5 years of hands on Experience in SQL/ SAS /Tableau (2+ yrs of Hand on experience in SAS is Mandatory) with ability to independently build queries for data extraction &amp; aggregation - Comprehend key concepts &amp; processes in Finance ,translate them into quantitative attributes /metrics - Ability to Define Methodology , present insights to larger teams and influence decision making</li><li>Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Good understanding of credit card industry financial P&amp;L drivers and key sensitivities</li><li>Strong written/oral communication &amp; stakeholder management skills</li><li>Proven ability to independently deliver Analytical solutions for Business problems</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities: Factory S&amp;OE Execution Ownership: <ul><li>Own S&amp;OE execution across 4 manufacturing sites, ensuring alignment between demand, supply, and production plans</li><li>Drive short-term execution decisions to protect customer service and delivery performance</li><li>Lead plant-level weekly S&amp;OE cadences focused on exception management and recovery actions</li><li>Ensure adherence to global S&amp;OE standards, governance, and processes&nbsp;</li></ul> Operational Excellence &amp; KPI Delivery: <ul><li>Deliver against key metrics: On-Time -Delivery, Past Due, Lead Time Accuracy, Response Time, and Inventory Health</li><li>Drive root cause analysis and corrective actions for service gaps and supply constraints</li><li>Implement continuous improvement initiatives to enhance reliability, responsiveness, and efficiency</li><li>Standardize ways of working across factories to improve consistency and execution rigor</li></ul> Customer &amp; Commercial Alignment: <ul><li>Partner closely with Customer Care and Sales teams to ensure clear prioritization and fast response to demand changes</li><li>Support escalation management with structured, data-driven solutions</li><li>Translate commercial priorities into executable supply actions at plant level</li></ul> Managing Complexity, NPI &amp; Migrations: <ul><li>Ensure operational readiness for new product introductions and product migrations</li><li>Coordinate with planning, manufacturing, and supply teams to mitigate risks during transitions</li><li>Manage demand volatility and supply constraints with agility and structured decision-making</li></ul> Financial &amp; Service Performance: <ul><li>Balance service, cost-to-serve, and inventory objectives in daily execution decisions</li><li>Support achievement of working capital and cost targets through disciplined planning and execution</li><li>Use data and analytics to optimize trade-offs between service and cost</li></ul> People Leadership &amp; Capability Building: <ul><li>Lead and develop a team of ~10 S&amp;OE planners/analysts</li><li>Coach team on problem-solving, prioritization, and decision-making</li><li>Establish clear roles, accountability, and performance expectations</li><li>Build a high-performance, accountable, and collaborative team culture</li></ul> S&amp;OE Process Adoption &amp; Maturity: <ul><li>Drive adoption of global S&amp;OE processes, tools, and KPIs</li><li>Ensure high-quality data, system discipline, and process compliance (SAP, S4 Hana, IBP Response)</li><li>Support S&amp;OE maturity roadmap deployment at factory level</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Supply Chain Management, Logistics, Industrial Engineering or a related field.&nbsp;</li><li>An MBA or master’s degree is preferred.</li><li>10+ years of experience in supply chain planning, or operations in a multinational environment.&nbsp;</li><li>Exposure to high-growth environments, NPI, and product migrations preferred.</li><li>Minimum of 4 years of experience in people management, leading diverse teams in a global environment.</li><li>Proven experience in Sales and Operations Execution (S&amp;OE) or related roles.&nbsp;</li><li>Experience in managing operational processes related to demand planning, supply chain management, and inventory optimization.</li><li>Excellent communication and interpersonal skills to engage effectively with cross-functional teams and stakeholders.</li><li>Strong analytical skills with the ability to interpret complex data and drive actionable insights.</li><li>Highly Competent with supply chain management software (SAP Must, IBP Response is a plus) and analytics tools.</li><li>Demonstrated leadership skills with the ability to lead and inspire diverse teams across different locations.</li><li>Understand business drivers and able to balance between short- and long-term objectives.</li></ul>

Role Description:&nbsp; <ul><li>We are hiring a Supply Chain Project Engineer to lead and manage engineering and CAPEX projects within a manufacturing environment.&nbsp;</li><li>This role involves working closely with global engineering teams and plant operations to deliver projects on time, within budget, and aligned with business goals.</li></ul> Responsibilities: <ul><li>Lead end-to-end project execution (design, installation &amp; commissioning).</li><li>Support technical proposals, cost estimation, and project planning.</li><li>Coordinate with suppliers, contractors, and cross-functional teams.</li><li>Supervise installation and construction activities on-site.</li><li>Ensure projects meet EHS, quality, and food safety standards.</li><li>Manage budget, timelines, and resource planning.</li><li>Work closely with global engineering, production, maintenance, and operations teams.</li><li>Support CAPEX planning and execution for plant initiatives.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering as Mechanical, Electrical or equivalent. MBA or Management degree is preferred.</li><li>Working with manufacturing environment is preferred. Minimum 4 years of engineering experience with minimum 3 years for project management.</li><li>Knowledge of mechanical, electrical and construction/structure are required. Also, good computer background is a must.</li><li>English communication skill is necessary in both speaking and writing.</li><li>Able to work with government officers and public organizations.</li><li>Knowledge of food industry and financial issues including CAPEX&nbsp;</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities: <ul><li>Readiness to the role as per the Retirement career path / skill blocks</li><li>Demonstrate a positive attitude in dealing with changes, reacting to them in a calm, professional manner and actively seeking solutions to any problems which might arise as a result of the changes.</li><li>Adopt a business-friendly writing style when communicating with UK colleagues and drafting advice for clients.</li><li>The content will be focused and concise, with significant actions, information, deadlines and recommendations clearly identified. Avoid using unnecessary colloquialisms, formalities and jargon.</li><li>Prepares original materials (letters, reports, discussion guides) for the lead actuary including first draft of commentary on results</li><li>Fully understands UK pensions legislation, work as an expert scrutiniser on all major work types – Actuarial Valuation / Accounting / Consulting support services / GMP equalisation</li><li>Ability to stand back from detailed calculations, sense-check, draw conclusions and see the work in a broader context of the clients needs and the legislative framework.</li><li>Answers client questions without reliance on the lead actuary and is a strong backup to lead actuary</li><li>Ensures own work and work of junior colleagues is complete and thorough, requiring minimal review from lead actuary</li><li>Identifies and implements improvements to the various processes</li><li>Champions of new ideas and initiatives that deliver strategic results</li><li>Plan and execute technical meetings and training as per the teams requirement for the Individual contributor roles</li><li>Create an open, collaborative, and engaging team environment&nbsp;</li></ul> Requirements: <ul><li>Strong analytical and mathematical skills, with a keen eye for detail</li><li>Ability to effectively communicate the team goals and drive business results</li><li>Understands the professional requirements and quality standards for UK work</li><li>Strong organizational skills to manage multiple projects and deadlines efficiently</li><li>Ability to work in a team and collaborate effectively with colleagues from diverse backgrounds</li><li>An expert in one or more of the specialist areas – valuation, accounting, client extension work, risk &amp; modelling, GMP equalisation, cash equivalent transfer value – but will have a general understanding of all the work and the ability to adapt to new work.&nbsp;</li></ul>

Responsibilities: <ul><li>Assist advisor(s) in servicing clients including preparing financial plans, conducting investment research and completing trades and transactions as described by the advisor.</li><li>Prepare and summarize client meetings by scheduling and confirming meetings, entering data into contact manager, building the agenda and summary of meetings, escorting clients to advisor meeting and providing vital follow-up.</li><li>Ensure new business paperwork is submitted efficiently which includes preparation of forms and documentation for submission to home office, acquisition of appropriate signatures, tracking of new insurance applications and coordination of rollovers.</li><li>Coordinate marketing events which include organizing the event, contacting vendors, finalizing event details, crafting marketing compliance documentation and managing event marketing reimbursement.</li><li>Provide general administrative duties such as answering the advisors’ phone, processing expense management reports, preparing routine client correspondence, supporting closes, setting up client documents and new business correspondence and alerts. </li></ul> Requirements: <ul><li>Bachelors degree or equivalent.</li><li>3 - 5 years relevant experience required.</li><li>Series 7 or ability to obtain within 150 days.</li><li>State securities agent registration (S63 or S66) or ability to obtain within 150 days.</li><li>Experience working in a client service environment.</li><li>Detail-oriented, strong math, and analytical skills. Good organization and time management skills.</li><li>Able to manage multiple priorities and prioritize effectively. Able to independently work with minimal direct supervision.</li><li>Able to communicate with all levels within the organization. Process oriented and can work with a team.</li><li>Strong computer and software skills. Preferred Qualifications:</li><li>State IAR registration (S65 or S66) or ability to obtain within 150 days.</li><li>Life, Accident, and Health licenses &amp; Variable Contracts or ability to obtain within 150 days.</li></ul>

Role Description: <ul><li class="ql-align-justify">The Business Strategy Analyst supports the execution of the Group’s strategic priorities, operational excellence agenda, and performance management frameworks.</li><li class="ql-align-justify">Reporting to the Strategy &amp; Operations Manager, the role provides analytical, process, and reporting support to help translate strategy into effective execution across the Group’s enabling functions and business units.</li></ul> Responsibilities: <ul><li>Strategy Execution SupportAssist in tracking progress against strategic initiatives, KPIs, and overall business objectives.</li><li>PMO &amp; Project TrackingBuild and maintain project plans, track milestones, risks, and dependencies, and ensure timely execution.</li><li>Dashboarding &amp; ReportingPrepare dashboards, MIS reports, and performance summaries for leadership and stakeholders.</li><li>Cross-Functional CoordinationWork with multiple business functions to drive alignment, follow-ups, and accountability on key initiatives.</li><li>Operational Excellence &amp; Process SupportSupport process improvement initiatives, SOP creation, and transformation projects (e.g., outsourcing, efficiency programs).</li></ul>﻿Requirements: Knowledge, Skills, Qualifications and Experience required for this Role <ul><li class="ql-align-justify">Strategy Execution &amp; Performance Support</li><li class="ql-align-justify">Operational Excellence &amp; Business Process Improvement</li><li class="ql-align-justify">Project &amp; Initiative Coordination</li><li class="ql-align-justify">Reporting, Insights &amp; Information Management</li><li class="ql-align-justify">Stakeholder, Governance &amp; Strategy Administration Support</li></ul> Experience &amp; Knowledge: <ul><li>2–4 years’ experience in business analysis, strategy, operations, consulting, finance, or process / project support roles.</li><li>Exposure to operational excellence, process improvement, PMO, or transformation environments preferred.</li><li>Working knowledge of financial statements and basic financial analysis.</li><li>Experience supporting system or process change initiatives (requirements, SOPs, UAT, or adoption tracking) is an advantage</li></ul>&nbsp;Education: <ul><li>Bachelor’s degree in Business Administration, Economics, Finance, Engineering, Information Systems, or another relevant analytical or business discipline.</li><li>A strong analytical or quantitative academic background is preferred.</li><li>Postgraduate qualifications (e.g. MBA, MSc) or professional certifications in strategy, business analysis, project management, or operational excellence (e.g. Lean, Six Sigma, PMP) are not required, but will be considered an advantage at junior level.</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

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86 financial modeling Jobs found

Senior Analyst, Amazon Analytics

AVP, Digital Analytics

S & OE Manager

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

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86 financial modeling Jobs found

Senior Analyst, Amazon Analytics

AVP, Digital Analytics

S & OE Manager

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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TALENT

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.