Manulife Financial
Associate Data Scientist - Fraud Analytics
Manulife Financial, Boston, Massachusetts, us, 02298
Overview
We are seeking a highly analytical and creative Associate Data Scientist to join our advanced analytics team focused on fraud detection and digital risk mitigation within our long term care insurance business. This role offers the opportunity to develop cutting-edge models and innovative solutions that directly protect our organization and policyholders from fraudulent activities while ensuring legitimate claims are processed efficiently.
Position Responsibilities Model Development & Analytics
Design and build sophisticated fraud detection models with emphasis on time series analysis to identify temporal patterns and trends in fraudulent behavior
Develop anomaly detection systems to flag unusual claims patterns, provider behaviors, and policyholder activities
Create graph-based models to uncover fraud rings, provider networks, and suspicious relationship patterns
Build ensemble models that combine temporal, network, and statistical approaches for comprehensive fraud detection
Perform advanced statistical analysis on large, complex datasets to uncover fraud indicators
Leverage large language models (LLMs) for analyzing unstructured claims data, policy documents, and investigator notes to identify fraud indicators
Digital Controls & Innovation
Design and implement digital controls and automated workflows to mitigate fraud impact
Develop innovative analytical solutions to address emerging fraud schemes and attack vectors
Create data-driven business rules and decision frameworks for fraud prevention
Build monitoring systems and dashboards to track model performance and fraud trends
AI/ML Operations & Deployment
Deploy and monitor machine learning models in production environments using MLOps best practices
Implement model versioning, A/B testing, and continuous integration/deployment pipelines for fraud detection systems
Design real-time model serving infrastructure for low-latency fraud scoring
Establish model performance monitoring, drift detection, and automated retraining workflows
Collaborate with engineering teams on scalable AI system architecture and deployment strategies
Required Qualifications
Master’s degree or PhD degree in quantitative fields such as Statistics, Applied Mathematics, Data Science, Engineering, or Computer Science or Physics.
Proficient in programming using Python and SQL.
At least 2-year of industry experience in developing and deploying models using AI and GenAI techniques.
Experience in using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL).
Preferred Qualifications
Experience with fraud detection, risk analytics, or financial crime prevention preferred
Advanced Graph Analytics: Experience implementing graph-based fraud rings detection, money laundering networks, and provider relationship analysis
Proven problem-solving abilities, including conducting root cause analysis to address specific business inquiries and identify opportunities for enhancement.
Excellent communication skills to explain complex topics to diverse audiences.
Demonstrated expertise in the data analytics life cycle, encompassing problem framing, data collection, data cleansing, insights generation, reporting, and communication.
Skilled in machine learning modeling life cycle, including exploratory data analysis, data cleansing, feature engineering, model building, deployment, and monitoring.
Experience & Technical Skills
Experience in developing and deploying models in cloud-based environments, specifically Microsoft Azure, and Databricks, following MLOps best practices.
Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
When you join our team
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
#LI-Hybrid
マニュライフとジョン・ハンコックについて マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/をご覧ください。
マニュライフは機会均等を是とする雇用主です マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、recruitment@manulife.com までご連絡をお願いします。
Salary & Benefits Salary location: Boston, Massachusetts. Salary range is expected to be between $80,625.00 USD - $134,375.00 USD. If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify
Company: John Hancock Life Insurance Company (U.S.A.)
#J-18808-Ljbffr
Position Responsibilities Model Development & Analytics
Design and build sophisticated fraud detection models with emphasis on time series analysis to identify temporal patterns and trends in fraudulent behavior
Develop anomaly detection systems to flag unusual claims patterns, provider behaviors, and policyholder activities
Create graph-based models to uncover fraud rings, provider networks, and suspicious relationship patterns
Build ensemble models that combine temporal, network, and statistical approaches for comprehensive fraud detection
Perform advanced statistical analysis on large, complex datasets to uncover fraud indicators
Leverage large language models (LLMs) for analyzing unstructured claims data, policy documents, and investigator notes to identify fraud indicators
Digital Controls & Innovation
Design and implement digital controls and automated workflows to mitigate fraud impact
Develop innovative analytical solutions to address emerging fraud schemes and attack vectors
Create data-driven business rules and decision frameworks for fraud prevention
Build monitoring systems and dashboards to track model performance and fraud trends
AI/ML Operations & Deployment
Deploy and monitor machine learning models in production environments using MLOps best practices
Implement model versioning, A/B testing, and continuous integration/deployment pipelines for fraud detection systems
Design real-time model serving infrastructure for low-latency fraud scoring
Establish model performance monitoring, drift detection, and automated retraining workflows
Collaborate with engineering teams on scalable AI system architecture and deployment strategies
Required Qualifications
Master’s degree or PhD degree in quantitative fields such as Statistics, Applied Mathematics, Data Science, Engineering, or Computer Science or Physics.
Proficient in programming using Python and SQL.
At least 2-year of industry experience in developing and deploying models using AI and GenAI techniques.
Experience in using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL).
Preferred Qualifications
Experience with fraud detection, risk analytics, or financial crime prevention preferred
Advanced Graph Analytics: Experience implementing graph-based fraud rings detection, money laundering networks, and provider relationship analysis
Proven problem-solving abilities, including conducting root cause analysis to address specific business inquiries and identify opportunities for enhancement.
Excellent communication skills to explain complex topics to diverse audiences.
Demonstrated expertise in the data analytics life cycle, encompassing problem framing, data collection, data cleansing, insights generation, reporting, and communication.
Skilled in machine learning modeling life cycle, including exploratory data analysis, data cleansing, feature engineering, model building, deployment, and monitoring.
Experience & Technical Skills
Experience in developing and deploying models in cloud-based environments, specifically Microsoft Azure, and Databricks, following MLOps best practices.
Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
When you join our team
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
#LI-Hybrid
マニュライフとジョン・ハンコックについて マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/をご覧ください。
マニュライフは機会均等を是とする雇用主です マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、recruitment@manulife.com までご連絡をお願いします。
Salary & Benefits Salary location: Boston, Massachusetts. Salary range is expected to be between $80,625.00 USD - $134,375.00 USD. If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify
Company: John Hancock Life Insurance Company (U.S.A.)
#J-18808-Ljbffr