Full-time Archives

Quantitative Analyst

The Group: Morningstar’s Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors and Morningstar achieve better outcomes by making better decisions. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the foundation of our company.

The Role: Morningstar is seeking a Quantitative Research where you will execute proprietary research pertaining to building data intensive products for investment management industry. Most of the research is integrated to Morningstar’s core products (Direct, Advisor Workstation etc.) and teams as Morningstar Investment Management, Morningstar Indexes, Morning Credit Ratings, Pitchbook etc.

The ideal candidate will demonstrate Quant research skills in Investment Management space not limited to diverse asset classes, portfolio construction, credit ratings etc. alongside Quant Modeling skills such as statistics, Machine Learning, numerical optimization & software engineering skillset within Fintech eco space. This position reports to the Manager of Quantitative Research.

Responsibilities:

Participate in building next generation of Portfolio Construction Tool not limited to creating strategies, Portfolio Optimization, back testing, re-balancing and re-constitution.
Drive independent research, publish research papers in asset allocation analysis, portfolio optimization, risk model, ESG, fund flows etc. using principles of modern portfolio theory, statistics.
Lead multiple research initiatives across asset classes assisting a team of Quant researchers
Support methodology development, Quant Model builds & enhancements for core Quant products as Risk Model, Investor Pulse, Quant Ratings, Portfolio Construction, Ownership Lens, Equity Comps etc.
Leverage news structured and unstructured datasets to build new Quant frameworks that would help investors in informed decision making.
Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation.
Participate in client conversations for understanding ongoing investor issues, alongside increasing reach of Morningstar Quant offerings.

Requirements:

1 to 3 years of investment/quant research experience with emphasis on quant finance, mutual fund analysis, asset allocation, and/or portfolio construction.
CFA, FRM, CQF or postgraduate degree in finance, economics, mathematics, statistics is preferable.
Understanding of both business and technical requirements, and the ability to serve as a conduit between product, research, technology, and external clients.
Experience developing Financial Engineering/ Statistical applications on cloud (AWS) preferable but not mandatory

Fitch Learning | Senior Inside Sales Executive, CQF – Toronto, Canada

Fitch Learning is a leader in financial services training. With unrivaled breadth and depth, the company delivers learning solutions for apprentices, graduates, and those with 10+ years’ experience in Financial Services. Our offerings include expert faculty, e-learning, coaching, and blended assessments, improving individual and collective business performance. Fitch Learning is a Fitch Solutions company.

Working at Fitch Learning provides the opportunity to be part of a global leader in financial education, committed to delivering cutting-edge training solutions. You’ll collaborate with a team of experts dedicated to empowering professionals with the skills and knowledge needed to excel in the finance industry. By joining us, you’ll be at the forefront of innovation in professional education, contributing to impactful learning experiences that drive career advancement and industry success.

Fitch Learning is seeking an Inside Sales Senior Associate for the CQF (Certificate in Quantitative Finance) program. This individual contributor role is based in our Toronto, Canada office, with a corporate title of Senior Associate.

About The Team

The CQF (Certificate in Quantitative Finance) is the world’s largest quant finance qualification. As a CQF Inside Sales Senior Associate, you will be responsible for selling the CQF program to warm leads generated by the marketing team, and for independently generating business opportunities.

You may be a fit for our team if you are looking to:

Earn a competitive base salary and benefits package, with 40% commissions for On Target Earnings—uncapped.
Be a vital contributor to a thriving global sales team.
Take full ownership of assigned sales leads in your region.

How You’ll Make An Impact

Manage and grow your sales pipeline, primarily through phone sales, email, and LinkedIn messaging to marketing-generated leads.
Sell complex solutions to a range of financial services professionals and aspiring professionals, including pitching to senior-level finance executives.
Drive attendance at CQF online information sessions and leverage these sessions to generate sales.
Build strong, value-added relationships with CQF alumni to generate referrals.
Participate in and follow up with attendees from conferences and talks (both online and in London) organized by the CQF.
Work collaboratively with the Marketing, Operations, and CQF Institute teams.
Attend industry events and conferences as required.
Track sales activity in key CRM systems.

You May be a Good Fit for this Role if:

You have proven B2C experience in training or delegate sales.
You are able to sell in a high-volume, metrics-driven environment.
You possess excellent lead management skills.

What Would Make You Stand Out

Proven experience selling technical “off-the-shelf” qualifications or training to individuals or corporate clients, preferable in the financial services industry.
Proficiency in phone sales and videoconferencing (e.g., Zoom or similar platforms).
Excellent presentation, conversational, and writing skills.

Why Choose Fitch

Hybrid Work Environment:3 days per week in the office; 2 days remote
A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Market Risk Analytics (Incremental Risk Charge), Director, Firm Risk Management

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Background on the Group

Morgan Stanley’s Risk Analytics department that resides within Firm Risk Management (FRM) performs quantitative analysis on the Firm’s Credit, Market, Operational, and Liquidity risk exposures. The department’s primary objective is to measure and project risks across the Firm to support executive decisions and protect the Firm. Risk Analytics has main presence in New York and London and attracts talent in Budapest and Mumbai.

Position Background And Responsibilities

Morgan Stanley recruits quantitative research associates for the Risk Analytics Department. The ideal candidate will be actively involved in market risk modeling and statistical analysis of Morgan Stanley’s portfolios for the Market Risk Department. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk (VaR, Stressed VaR, IRC and CRM) and stress testing models for Morgan Stanley’s portfolio of assets, as required by the regulatory framework and the Firm’s risk management needs. Strong problem-solving abilities, solid writing, and oral presentation skills are desired. The candidate should be able to work in fast-paced environment and willing to learn and evolve along with the role.

Primary Responsibilities Include, But Are Not Limited To

Development, enhancement and maintenance of portfolio market risk models like IRC, CRM and DRC to ensure ongoing appropriateness and adaptations to new regulations
Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.
Ensure robust implementation and timely completion of ongoing monitorings and evaluation of market risk models, review existing models to ensure they remain fit for purpose and make improvements where necessary.
Take ownership of assigned deliverables and ensure timely, accurate and thorough analysis
Document models and associated developmental analysis; present results to partners and stakeholders

Skills Required

4-7 years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field.
Deep understanding of quantitative risk including good knowledge of statistical modelleing, financial products and their risk representation.
Excellent mathematical, analytical, problem solving and troubleshooting skills
Strong programming skills and demonstrable experience in coding numerical methods and algorithms, data analysis and manipulation
Advanced knowledge of at least one prototyping programming language (preferably Python) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain
An interest in working in a fast-paced environment, often balancing multiple high priority deliverables.

Required Qualifications

Postgraduate/ Advanced degree in Quantitative Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects.

Desirable Skills

FRM, CFA, CQF certification is an advantage.

Senior Associate, Portfolio Analytics – Quants, Fund Services

We’re seeking someone to join our team as a Associate to assist with performance and exposure/risk attribution analytics of hedge fund portfolios using multi-factor models. The incumbent will further contribute towards testing and building systematic quantitative solutions for the firm’s hedge fund portfolios.

Established in 2004, Morgan Stanley Fund Services (MSFS) is a global business within the Institutional Equities Division (IED) that provides fund administration services for over $700billion in assets across 350+ hedge funds, private equity and large family offices clients. Our best-in-class offering includes accounting and investors services, portfolio analytics, middle-office functions, regulatory and financial reporting, and tax services. Delivering these services to our clients and their investors is a diverse team of 1,400 highly skilled employees across the globe based in New York, London, Glasgow, Dublin, Mumbai, Bengaluru, and Hong Kong. Joining MSFS, you will discover a dynamic environment where every day offers new opportunities for personal growth and innovation. Here at MSFS your career isn’t just a job, it’s an incredible journey fueled by collaboration, challenge, and the chance to make a meaningful impact to our business, our clients, their investors and the wider Morgan Stanley franchise.

The MSFS Portfolio Analytics team is an energetic, globally connected group driving innovation in portfolio analytics for our clients. As part of the team, you will collaborate with colleagues and our clients to deliver impactful risk and performance reports, ensuring clients have the insights they need to succeed.

This differentiating MSFS service provides customized analytics to meet the complex needs of our clients. The team provides opportunities to lead new ways of thinking and actively contributes to developing new analytical tools through developing new ad-hoc scripts and working with our technology colleagues to build new tools. We value problem-solving, continuous learning, and creative thinking.

Our exceptional talent is passionate about data, eager to innovate, and ready to help shape the future of our analytics. If you want to make meaningful contributions for our clients, the Portfolio Analytics team offers the perfect opportunity to make your mark.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What You’ll Do In The Role:

Focus on periodic as well as bespoke delivery of quantitative analyses related to portfolio exposure, risk, and performance
Collaborate with the global client coverage team members to assist answering client questions on factor analysis of their portfolios
Prepare custom client reports that involve risk and performance calculation
Help in building automation to scale bespoke solutions for the clients using R/VBA or with IT solutions
Participate in the ideation for the new products critical to the success of pre-trade quant offering and contribute towards building systematic process for generation of content

What You’ll Bring To The Role:

Master’s in quantitative discipline such as Financial Engineering/Mathematics/Statistics/Computing with 2-4 years of relevant experience. Certification such as CFA, CQF or FRM will be an added advantage although not mandatory.
Familiarity with Equities and Equity derivatives products and familiarity with multi-factor risk models
Hands-on-experience of R or Python programming, familiarity with LaTeX, Markdown and Shiny
Analytical mindset and problem-solving ability with a quantitative aptitude
A team player with strong verbal and written communication skills with attention to details

Software Engineer III – Python

Please see job role.

Assistant Vice President, Fundamental Research

About the Role

We’re looking for a fundamental equity analyst to join our Public Markets team, focused on the global technology & semiconductor ecosystem. Experience with South Korea, Taiwan, and/or Malaysia’s electrical & electronics (E&E) sector is a strong advantage.

In this role, you will:

◾ Drive Investment Insights: Research sectors, analyse trends, engage management & present actionable insights.

◾ Model & Value: Build financial models, conduct valuations & support portfolio decisions.

◾ Apply Risk-Reward Philosophy: Contribute to portfolio construction by adhering to risk-adjusted investment decisions that aim to deliver relative value.

◾ Collaborate Across Stakeholders: Partner with key decision-making stakeholders on semiconductor initiatives.

This role is for someone analytically rigorous, intellectually curious & motivated to deepen their craft – including through professional qualifications such as CFA, CAIA, CIPM, or CQF. Candidates with existing qualifications are an advantage.

If you are early- to mid-career (3-7 years of work experience), research-driven, & want exposure to real investment decisions at the intersection of markets, strategy & policy, we want to hear from you.

Quant Analyst – Model Validation

Familiarity with pricing models of capital markets products including exotic derivatives and various risk management practices.
The candidate should display a thorough knowledge of derivative instruments, pricing and valuation as well as risk profiles.
Model implementations using regression methods, Monte Carlo simulation, tree method and PDE approaches.
Knowledge of quantitative risk management models, stochastic calculus, statistics and numerical resolution methods.
Knowledge of VBA, SAS, MatLab, R, Python, Eviews, C++ etc. will be an added advantage
A CQF/CFA/FRM qualification would be an advantage.

Senior Business Analyst in ALM

We Are Looking For You, If

you have at least 3 years of experience in business analysis, data analytics, or data science within the financial risk of a financial institution (preferably ALM side),
you have a Master’s degree in econometrics, mathematics, economics, or a similar quantitative field,
you are proficient in using SQL, Power BI,
you are someone who understands complex ALM data requests from supervisors (ECB, EBA) and can translate these into structured, timely deliverables,
you are a team player with a “can-do” mentality, capable of clear communication and alignment with internal stakeholders and senior management,
you are someone who can act as the link between stakeholders providing functional requirements and developers needing technical specifications,
you are a proactive individual with a commitment to continuous improvement within the team and tribe,
you have proficient oral and written communication skills in English,
you have strong analytical, problem-solving, and communication skills.

You’ll Get Extra Points For

IT affinity,
certificates: FRM, PRM, CQF,
experience in Agile (Scrum) methodologies.

Your Responsibilities

translate business data requests into understandable and actionable items and designs with the team,
align and agree on results with main stakeholders and management,
develop new functionality and analysis capabilities for IRRBB to support efficient delivery of complex data requests (e.g., ALCO/stress test inputs),
implement and roll out new data solutions to end-users and locations,

Information About The Squad

dynamic international team: Comprising specialists based in Amsterdam (NL) and Warsaw (PL). This position is specifically located in Warsaw,
growing Warsaw office: The expanding role of our Warsaw office is driving the demand for fresh talent,
Agile ALM Project Teams: We operate in Agile teams that include Market Risk Management, TECH Developers, ALM Data Experts, ALM Business Analysts, and QRM Experts,
unified implementation: ING Bank is standardizing the implementation for Interest Rate Risk, Liquidity Risk and Forecasting across its banking books, driven by regulatory requirements and internal risk management insights,
collaborative culture: We prioritize mutual support, knowledge sharing, teamwork, and continuous improvement, both professionally and personally,
young and international: Our team is youthful and globally oriented, focusing on developing new functionalities and methodologies for our ALM platform,
stakeholder relations: The role involves supporting ING’s headquarters, with success hinging on maintaining strong relationships with end-users and stakeholders, including Financial Risk teams, local Risk Managers, and Finance teams,
data-driven solutions: We handle Finance and ALM Risk data, collaborating with internal and external stakeholders to find optimal structural solutions for ING globally. Experience with Finance systems, particularly in ALM or Treasury-related data, is highly valued.

Audit – Market Risk Model Subject Matter Expert

Key Responsibilities:

Lead and execute risk-based audits focused on model risk management, with a primary emphasis on market risk models (e.g., VaR, sensitivities/Greeks, stress testing, scenario analysis, capital models).
Assess the design, implementation, and performance of market risk models, including data sourcing, assumptions, methodologies, and model limitations.
Evaluate the model risk governance framework, including policies, standards, model inventories, risk rating, and model lifecycle management.
Review model validation workpapers and documentation to independently challenge validation scope, tests performed, and conclusions reached.
Assess controls around model implementation and usage, including end-user computing tools, system integrations, and reporting processes.
Prepare clear, concise audit findings and reports, communicating complex quantitative issues to non-technical stakeholders.
Partner with Internal Audit, Market Risk, Model Risk Management, and Front Office teams to agree on remediation actions, timelines, and ownership.
Support continuous improvement of audit methodologies for model risk, including analytics, testing techniques, and documentation standards.
Stay current on regulatory expectations and industry best practices related to model risk (e.g., SR 11-7, ECB TRIM, PRA SS1/23 or equivalents).

Ideal Candidate Profile:

7+ years of experience in model risk audit, internal audit, model validation, market risk, or a closely related quantitative risk function within financial services.
Strong hands-on exposure to market risk models, such as VaR, sensitivities/Greeks, stress testing, P&L attribution, and risk capital models.
Solid understanding of model risk management frameworks and regulatory guidance (e.g., SR 11-7 or similar regional standards).
Quantitative background preferred (e.g., Math, Statistics, Financial Engineering, Physics, Economics or related field).
Proficiency with analytical tools and languages (e.g., Python, R, SAS, or MATLAB) and comfort working with large datasets.
Prior experience in internal audit or independent review of models is highly desirable.
Excellent communication and documentation skills, with the ability to translate complex technical issues into clear business language.
Professional designations such as FRM, CFA, CQF, or similar quantitative/ risk certifications are a plus.

Credit Risk Model Developer Expert

We are looking for you, if you:

Have MSc in mathematics, econometrics, statistics or a similar quantitative field,
Have sound knowledge of statistical inference and econometric methods,
Have extensive knowledge of IRB and IFRS 9 models,
Good understanding and interpretation of regulatory credit risk policies, attention to detail and accuracy.
Have at least 5 years of experience with: development IFRS9/IRB models, with programming (e.g. Python, SAS), databases, data modelling, data preparation and data quality control,
Have an ability to clearly and succinctly express ideas, facts and opinions,
Have an ability to identify problems, analyzing key information and making connections, in order to find appropriate solutions,
Complete tasks and achieves results in an efficient, timely and high-quality manner, with a focus on execution and delivery of targets and KPIs.

English level – C1.

You’ll get extra points for:

Experience in being a sparring partner/advisor to Senior Management,
Knowledge of and experience with advanced statistical techniques,
Knowledge of AIRB/IFRS9 regulations,
Familiarity with version control systems (e.g. GIT),
Professional certification FRM/PRM/CFA or CQF,
Experience with databases, data preparation and data quality control.

Your responsibilities:

Development of PD, EAD, LGD IRB / IFRS9 models in Retail / Wholesalebank
Be part of credit risk models life cycle: data sourcing, model development and annual monitoring, model implementation and support model validation and audit reviews (internal and external).
Share knowledge and expertise,
Collaborate with internal Model Validation Unit during model development, model monitoring and review processes.
Interact with stakeholders,
Write reports / model documentation.