Jobs Archive

Predictive Modeler P&C Commercial Actuarial Consultant – REMOTE

Job Description

Key Responsibilities:

Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
Crafts and updates model documentation for business continuity purposes.
Collaborates to develop creative solutions to business problems.
Acts as the technology owner for Risk Analytics.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Actuarial Specialist – Commercial Pricing Modeler REMOTE

Job Description

Key Responsibilities:

Assists in the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications.
Supports regular testing of risk limits to provide management guidance on asset allocation, risk transfer and product growth decisions.
Aids with quantitative modeling processes. Understands industry standards and identifies if models are working as intended.
Collaborates to ensure that consistent model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld.
Reviews and analyzes model output to identify model limitations and impacts.
Assists in crafting and updating model documentation for rationale, assumptions and business continuity purposes.
Applies expertise to develop creative solutions to business problems.
Acts as the technology lead for risk analytics.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Consultant, Risk Analytics – Credit Risk

Job Description

Key Responsibilities:

Understands and assesses key business needs and responsible for developing the appropriate quantitative modeling solutions to these needs.
Collaborates with departments across the organization or business functions to accomplish strategic goals, objectives, and initiatives.
Builds risk analytic strategies for business problems through collaborating, consulting, and driving expectations.
Collaborates with teams across the enterprise to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld throughout the organization.
Crafts clear and concise summaries of findings and recommendations. Uses impactful storylines and data visualization geared to both technical and non-technical audiences.
Develops, tests, implements and administers complex quantitative modeling processes and tools.
Evaluates and ranks quantitative solutions to business problems.
Communicates the key benefits and limitations of sophisticated modeling tools for business applications.
Works across teams to ensure governance of modeling tools are applied consistently.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

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.