Quant Risk Management Consultant Job at Orbis Consultants (London)

Quant Risk Management Consultant

You will join a leading financial institution within their Quantitative Risk Man...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Master’s degree in Mathematics, Finance, Economics, Statistics, or related quantitative discipline
Strong understanding of probability theory, stochastic processes, and financial mathematics
Experience or internship background in quantitative finance / risk management
Hands-on programming experience with Python (live coding test required)
Knowledge of C++, R, or SQL desirable
Experience analysing derivatives pricing, volatility, and correlations highly advantageous
Excellent analytical, written and verbal communication skills

Job Responsibility

Conduct empirical studies to inform margin modelling and risk mitigation strategies
Support the back-testing of margin models and validation of assumptions
Develop and execute quality assurance test cases for margin methodology code
Build and enhance tools for data cleaning, analysis, and synchronization
Contribute to risk model research and documentation within the Quant Risk function

Management Consultant, Capital Markets PMO - Quant Developer

On behalf of our premier client in the financial services sector, we are seeking...

Location

Canada , Toronto

Salary:

78.00 - 83.00 CAD / Hour

Randstad

Expiration Date

June 26, 2026

Requirements

5+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office
Working experience in application development in a financial institution
Strong knowledge in Big Data development and toolsets (HDFS, PySpark, Spark Python, Scala, etc.)
Solid understanding of IT practices and ability to manage and prioritize development tasks
Ability to clearly communicate highly technical concepts to business stakeholders
Results oriented with ability to work effectively under consistent time and workload pressures
Delivery focused mentality and ability to work autonomously
Strong quantitative and analytical skills, with attention to detail
Solid knowledge of derivative pricing, market risk methodologies, systems and processes, and regulatory requirements
Experience with Agile framework and project management

Job Responsibility

Application Development: Design, implement, and maintain risk applications to estimate P&L using HDFS and Apache Spark (PySpark)
Quant Framework Design: Execute the overall quantitative development framework, ensuring solutions align with strategic business requirements
AI Integration: Utilize AI tools and emerging technologies (Transformers, Agents, etc.) to enhance code quality and streamline development productivity
Testing & Validation: Conduct rigorous testing and provide effective User Acceptance Testing (UAT) to ensure implementations meet Model Risk and Quantitative Risk Analytics standards
Collaboration & DevOps: Partner with IT teams to build out DevOps processes and resolve complex technical hurdles through effective cross-functional communication
Process Improvement: Assist with business process engineering to ensure efficiency and provide project status updates to senior management
Mentorship: Assist with the training of team members to elevate the collective technical capabilities of the group

What we offer

Strategic Impact: Contribute directly to the core risk infrastructure of a major financial institution
Cutting-Edge Tech Stack: Work extensively with Big Data ecosystems (HDFS, Spark) and lead the adoption of AI tools like Copilot and RAG
Professional Growth: Gain exposure to diverse asset classes and complex derivative pricing models
Hybrid Flexibility: Enjoy a balanced work-week with a combination of on-site collaboration and remote deep-work days
Long-Term Potential: Initial 6-month contract with a clear path for extension based on performance

Fulltime

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Senior Python Tech Lead - Market Risk Quant Engineer - Senior Vice President

The senior python market risk engineer is a senior level position responsible fo...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant experience
Experience in implementing projects
Experience in systems analysis and programming of software applications
Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
Demonstrated knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus building skills
Bachelor’s degree/University degree or equivalent experience
Highly Experienced Python Professional with great exposure to architecting and building horizontally scalable, highly available, highly resilient and performant applications
Extensive development expertise in building efficient software platforms for data computation and processing

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

Senior Analytics Consultant - IPV/Product Control

Risk Analytics Lead Consultant role is a derivative valuation specialist within ...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

June 29, 2026

Requirements

Bachelors/MBA in Finance, Accounting, Statistics, Economics or Business or CFA/FRM/CQF
8+ years of experience in one or a combination of the following: Valuations, analytics, financial modeling
Prior work experience
knowledge of capital markets products, preferably Commodities derivatives
Applied knowledge and understanding of derivatives valuation (preferably as used in Rates Derivatives) and building of interest rate curves
Experience in trading, valuing or price validating capital market instruments
Excellent verbal and written communication skills
Advanced Microsoft Office skills, SQL
Ability to organize and manage multiple priorities with challenging timelines
Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important

Job Responsibility

Ensuring accurate valuations and performing independent price verification processes for derivatives, with focus on Commodities derivatives
Review Bid Offer and Model Valuation Adjustment for derivative portfolio
Deep dive IPV results and assist trader with high quality commentary month on month basis
Meet deliverables while leveraging solid understanding of Fair Valuation policies, procedures, and compliance requirements
Interact with technology teams to streamline IPV processes
Interact with quants, traders, market risk and product control to lead various IPV projects
Resolve moderately complex issues independently
Lead projects, teams, or serve as a mentor for less experienced staff

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Quant Analyst

Barclays Services Corp. seeks Quant Analyst, AVP in New York, NY (multiple posit...

Location

United States , New York

Salary:

140000.00 - 160000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Design, implement, and test graph-based algorithms to support sophisticated and standardization model orchestration to provide detailed lineage for business review
Implement solutions to allow for effective visualization of datasets for business insights
Implement efficient solutions for scale including sampling methods for risk models and using techniques such as numerical methods, Monte Carlo Simulation
Apply advanced modeling techniques including Machine learning to support business requirements use cases such as synthetic data generation for retail portfolios
Data processing to assist in anomaly detection
Perform probabilistic, statistical, and time series analysis to various datasets and provide sensitivity and what-if analysis
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them

Job Responsibility

Design, implement, and test graph-based algorithms to support sophisticated and standardization model orchestration to provide detailed lineage for business review
Implement solutions to allow for effective visualization of datasets for business insights
Implement efficient solutions for scale including sampling methods for risk models and using techniques such as numerical methods, Monte Carlo Simulation
Apply advanced modeling techniques including Machine learning to support business requirements use cases such as synthetic data generation for retail portfolios
Data processing to assist in anomaly detection
Perform probabilistic, statistical, and time series analysis to various datasets and provide sensitivity and what-if analysis

What we offer

Incentives pursuant to Barclays Employee Referral Program
Reasonable adjustment
Wellness center
Fitness centres
Health center
Colleague restaurant
Private executive dining room

Fulltime

Project Delivery Manager

As a Project Delivery Manager (PDM), you are responsible for the end‑to‑end oper...

Location

Philippines , Manila

Salary:

Not provided

Human8

Expiration Date

Until further notice

Requirements

Bachelor's degree (e.g. Marketing, Languages, Mathematics, Social Sciences, or a related field)
2–4 years of experience in project management, project coordination, or research operations
With strong organizational skills and a proactive mindset
Ability to understand research goals and business impact before execution
Strong communication and coordination skills across multiple stakeholders
Good judgment to anticipate potential risks or issues, and the confidence to raise them early and suggest practical mitigation ideas
Detail-oriented, reliable, and comfortable with both planning and hands-on execution
Able to manage multiple tasks, meet deadlines, and perform effectively in fast-paced or on-site research environments

Job Responsibility

Own the end‑to‑end operational delivery of trackers and ad‑hoc QL/QN projects (online & onsite)
Translate the SOW into a detailed operational plan, including tasks, workflows, dependencies, and timelines
Manage the operational project timeline, ensuring daily coordination, follow‑ups, and alignment across all task owners
Oversee and support project buying, supplier coordination, recruitment, incentives, and fieldwork execution (including facility or onsite logistics for QL)
Coordinate internal resources (CSTs, Quantitative Shared Services, Designers, etc.) to ensure they are properly briefed and aligned—with Ops defining resource allocation
Maintain rigorous quality checks on survey links, fieldwork progress, transcripts, deliverables, dashboards, and operational outputs
Collaborate closely with Advanced Quant experts for complex project components (sampling, modeling, scripting, analytics)
Adapt operational plans dynamically for complex target groups, special methodologies, or unexpected field challenges
Support the implementation of new tools, platforms, processes, and operational enhancements
Maintain and update all business and operational documents

Fulltime

Consultant

Deallus is a global management consulting firm specialized in life sciences and ...

Location

Japan , Tokyo

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Familiarity, and in-market experience, with the pharmaceutical market, through recent employment with industry (Pharma/Biotech) or Healthcare consulting firm
Advanced degree in medicine/ life sciences from leading global faculty (Master's/Ph.D. preferred)
Consultant level: 3+ years of relevant professional experience
Fluency in both English and Japanese
Track record of professional success, with successive stages of advancement/ promotion
Proven Leadership skills (functional team, client team, etc.)
Experience in pharma competitive intelligence, market landscapes, opportunity assessments, forecasting (quant qual research methods as well as topics such as market access)
Strong knowledge and hands-on primary and secondary research experience in the pharmaceutical industry, including competitive intelligence, issue monitoring and coverage of industry conferences, primary C.I., deep dives, workshops, scenario planning, and synthesis/ insight generation
Strong interpersonal skills, able to build relationships both internally and externally at all levels
Excellent communication skills, to include writing and presentation skills

Job Responsibility

Develops key project deliverables, such as discreet pieces of (qualitative, quantitative, financial, pharmaco-economic, market access) research, analysis and synthesis
Using a range of strategic frameworks, conceptualizes complex data into compelling, succinct and actionable insights
Creates, adheres to, manages, project plan and budget, incl. key milestones, delivery timelines, review sessions, with an eye for detail, available capacity and for potential issues and risks
Scopes out team role(s) and successfully delivers on own such role (including for example, project manager, financial/ quant analyst, secondary and primary research champions)
Manages team in executing client project(s), addresses performance concerns effectively and early on
Ensures high quality of deliverables, e.g., through four-eye principle, check list or formal quality control process
Conducts project reviews and provides / seeks formal feedback at the close of every project (or at contract renewal for monitoring projects) to ensure key learnings from the project are captured
Interacts with defined client teams in communicating progress, questions / hypotheses / conclusions, in addressing any questions and concerns, and in flagging issues as needed
Ensures client satisfaction throughout the term of the project
Takes on practice leadership role, e.g., related to recruiting, knowledge management, pursuit leadership

Fulltime

Lead Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist.

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

July 07, 2026

Requirements

5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
A master’s or PhD in quantitative fields such as math, statistics, engineering, physics, economics, computer sciences, etc.
Min 5+ years of relevant experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Min 5+ years' experience in Rates Quant
Excellent verbal, written, presentation and interpersonal communication skills
Hands-on experience in programming in JAVA-8(functional programming)
Good writing skills
5+ years' experience coding in Java or C++

Job Responsibility

Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
Use quantitative and technological techniques to solve complex business problems
Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
Resolve issues and achieve goals
Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
Influence and lead the broader work team to meet deliverables and drive new initiatives
Lead projects, teams, or serve as a peer mentor
Collaborate and consult with peers, colleagues, and mid-level to senior managers

Fulltime

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Quant Risk Management Consultant

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Quant Risk Management Consultant

Quant Risk Management Consultant

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