Senior Data Engineer

Our client in the financial services space are looking for a Senior Data Enginee...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Actuarial and Asset Management Excel Files
Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities
SQL: Data manipulation and querying
Python: Experience in libraries like Pandas and NumPy
Cloud Platform: Building on GCP using BigQuery
Familiarity with tools like DBT and Databricks
Experience with investment-related projects or working in the reinsurance or life insurance domain

Senior Data Engineer

Senior Data Engineer – Actuarial / Asset Management Data – Investment/Financial/...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments
Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL
Experience with GCP (BigQuery), DBT, and Databricks
Prior delivery of projects in investment operations, reinsurance, or actuarial analytics
Direct experience in investment, asset management, or reinsurance/insurance operations handling financial securities or actuarial outputs

Job Responsibility

Work with actuarial and asset management datasets
Building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks
Focus on large-scale financial data, automating processes, integrating multiple data sources
Delivering actionable insights to senior stakeholders

Senior Data Scientist

We’re looking for a Senior Data Scientist to lead the evolution of our scoring a...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Job Responsibility

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
Measure and improve score accuracy, stability, and interpretability
Work with engineers to deploy and monitor models in production environments
Partner with PMs and designers to define success metrics and measure product outcomes
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
Build reusable datasets, dashboards, and frameworks for self-serve analytics
Establish best practices for experimentation and data-driven decision making across squads
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)

What we offer

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Senior Data Analyst

Join the Pricing Data Engineering & Automation team within Allianz’s Global Pric...

Location

Romania , Bucharest

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Minimum 8 years’ experience using SQL for data analysis, with at least 2 years experience in P&C insurance
A degree at BSc or MSc level in a Numerical field, preferably with a strong focus on Computer Science, or qualified by experience
Experience in gathering information from stakeholders to understand business workflows
Experience in analyzing, debugging and solving highly complex problems
Experience in coaching and mentoring team members of varying functions and levels in data quality and root cause analysis techniques
Experience using Power BI, Tableau, or similar tools for data visualization and anomaly detection
Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams
Experience taking ownership of own learning and development.

Job Responsibility

Drive best practices for data quality and root cause analysis across the team, and coach and mentor junior team members
Act as a bridge between data teams and other stakeholders, and advise leadership on data quality risks and critical improvements
Investigate and interpret data flows from pricing tools and booking systems, identifying and explaining issues and behaviors to Data Engineers and project team
Trace data sources, transformations and dependencies to pinpoint errors, inconsistencies and inefficiencies in pricing data assets
Build dashboards, reports and recommend automated checks to track data integrity, flag anomalies, and provide insights on data reliability to key stakeholders
Analyze data and work with team members in Pricing and Underwriting to configure mappings for ambiguous data attributes
Document and present on findings, including the creation of data dictionaries and visualizations for end-users to enable them to use datasets
Support end-users and collaborate with them to improve readiness of base datasets for modelling
Collaborate with Data Engineers, Pricing Actuaries and Predictive Modelers to deliver innovative data solutions for data-driven pricing
Develop knowledge of the company’s IT landscape, data and data systems

What we offer

Access to counseling services, mental health resources, and well-being sessions
Personalized benefits packages via the Benefit platform, including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts
Time off for your birthday, extra days off for each year in Allianz (up to 5), days off for legal holidays that fall on weekends, and allowances to support life events
Extensive learning curriculum including technical and soft-skills trainings, international certifications, language skills improvement, and leadership programs
Performance-based rewards and recognition programs
Internal referral bonuses.

Fulltime

Senior Pricing Actuary

Our client seeks an ambitious and enthusiastic candidate with strong numerical s...

Location

United Kingdom , London

Salary:

80000.00 - 120000.00 GBP / Year

Lawes Consulting Group

Expiration Date

Until further notice

Requirements

Achieved a 2.1 or higher in a quantitative degree such as Mathematics, Engineering, or Economics (or equivalent)
Possesses strong numerical skills with exceptional attention to detail
Brings over 5 years of experience in commercial insurance pricing, with additional value placed on personal lines pricing knowledge
Holds qualifications as a fully or partially qualified actuary
Proficient in coding, specifically in Python or similar languages
Demonstrates prior experience in any programming language, with a preference for SAS, SQL, Big Query, or a similar language
Exhibits high motivation and the ability to work independently
Strong communication and interpersonal skills
Proficient in Excel with the capability to establish basic business models
Effectively manages own workload to meet deadlines

Job Responsibility

Conduct pricing calibrations and oversee pricing models, model governance, pricing strategy, processes, and compliance
Evaluate the need for external pricing software support, collaborating closely with IT to enhance the existing system and integrate pricing changes
Serve as the company’s pricing and data expert, providing a reference point for related matters
Mentor and develop a near-qualified actuary within the Underwriting Management team as part of the Finance team, contributing to pricing work
Expand the current infrastructure to implement cutting-edge pricing and analytics practices throughout the commercial business in alignment with the company’s pricing framework
Analyse the performance of different customer segments to review pricing structures and recommend changes
Assess external and internal data sources for their relevance to insurance pricing, offering recommendations
Design and execute pricing tests to gain insights into customer behaviour, such as elasticity
Create and manage regular reports/dashboards highlighting performance by different segments, providing actionable insights for continuous improvement of the pricing structure
Support the Chief Underwriting Officer (CUO) in establishing product-level benchmark prices and developing underwriting and reinsurance strategies from a pricing perspective

Fulltime

Senior Construction and Engineering Underwriter

Lawes Consulting Group is proud to be working with a leading global (Re)insurer ...

Location

United Kingdom , London

Salary:

95000.00 GBP / Year

Lawes Consulting Group

Expiration Date

Until further notice

Requirements

10+ years in underwriting or related insurance experience, preferably in Construction & Engineering
progressing toward or holding CII qualification
strong understanding of underwriting practices and market dynamics
strong analytical and decision-making skills
excellent written and verbal communication
high attention to detail and accuracy
proficient in Microsoft Office tools (Word, Excel, PowerPoint)
team player with strong interpersonal skills
able to prioritise, multitask, and perform under pressure
proactive, self-driven, and customer-focused

Job Responsibility

Review and underwrite new business based on risk assessment and market data
negotiate terms with brokers and clients to optimise profitability
ensure all underwriting decisions follow internal policies and procedures
work closely with global teams to align processes and maintain documentation
support junior underwriters through knowledge sharing and peer reviews
uphold compliance standards and contribute to regulatory requirements
strengthen and maintain broker and client relationships
contribute to business planning and new product development
collaborate with internal teams (Actuarial, Legal, Compliance, etc.)
promote brand presence through marketing and relationship-building efforts

Fulltime

Life actuary IFRS17

Analyzing, optimizing and creating financial models for insurance products; Prov...

Location

Romania , Bucharest

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Real experience of validating IFRS17 valuation engine output
2-4 years of experience in life insurance / finance
Masters degree in Economics/ Mathematics /Actuarial Sciences
Willing to study towards the UK IFoA (certification is a plus)
Programming experience in different tools (SAS, C++, Python)
Advanced user of MS Office tools (Excel, Word, Access)
English

Job Responsibility

Support the production/review of the balance sheet and earnings under IFRS17
Contributing to the establishment of IFRS17 end-to-end reporting process
Review and comment on global IFRS17 implementation approach in various areas
Understand the impact to earnings and balance sheet and provide insight to management
Identify the process or areas to change and enhance for IFRS17 implementation, and co-ordinate with various teams to ensure changes are well understood and implemented
Communicate the issues/challenges with senior actuaries or stakeholders on time

What we offer

Flexible hybrid working model
Access to counseling services, mental health resources, and well-being sessions
Personalized benefits packages including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts
Time off for your birthday
Extra days off for each year in Allianz
Days off for legal holidays that fall on weekends
Special allowances to support diverse life events
Access to technical and soft-skills trainings
International certifications (Agile, Lean Six Sigma, Prince, ITIL, IFOA, ACCA, IACCM)
Learning resources from LinkedIn and Allianz platforms

Fulltime

Senior Data Scientist

We are seeking a Senior Data Scientist to join the Enterprise Reporting and Anal...

Location

United States

Salary:

100000.00 - 135000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related field
5-7+ years of experience in data science, with a strong focus on health data, claims analytics, or health insurance
Proven experience coding in either SQL and Python or R
Python preferred
Experience with health data risk models, and program evaluation statistical methodologies such as propensity score matching and difference in differences analyses
Troubleshoot and perform data audits to ensure and improve data integrity
investigate and resolve data discrepancies
Familiarity with predictive modeling, AI/ML algorithms, and working with large datasets
Understanding of healthcare regulations (HIPAA, ACA, CMS rules) (preferred)
Strong problem-solving and communication skills with the ability to translate technical findings into business strategies

Job Responsibility

Data Analysis & Modeling: Design, conduct, and manage new analytical projects, starting with project planning, hypothesis development, and data gathering, then to analysis and modeling, and through to communications and recommendations
Research & Evaluation: Leverage existing studies, literature, and analyses into current research and analysis projects
Risk Stratification: Design risk models to assess member health risks and recommend proactive interventions for cost savings and better health outcomes through care recommendations
Delivery of Results: Build presentations, reports and dashboards that translate complex data into actionable insights for decision-making
Data Engineering & Integration: Work with data engineering and data development teams to optimize data pipelines, ensure data quality, and integrate diverse health datasets
Regulatory & Compliance Analysis: Ensure models comply with HIPAA, CMS, and other regulatory guidelines while supporting analytical insights and reporting
Collaboration & Leadership: Partner with operational and client teams to present results and to drive data-driven strategies and mentor junior data scientists

What we offer

Comprehensive medical and dental coverage through our own health solutions
Mental health support and wellness programs designed by experts who get it
Flexible work arrangements that fit your life
Retirement planning support to help you build real wealth for the future
Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection
Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage
Professional development opportunities and clear career progression paths
Mentorship from industry leaders who want to see you succeed
Learning budget to invest in skills that matter to your future
Competitive base salary that rewards your success

Fulltime

Senior Data Engineer – Actuarial

Orbis Consultants

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.