Flowdesk’s mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency. To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines. Therefore, we seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.
Archives: Jobs
Quantitative Analyst – Futuregrowth
This is an analytical role with specific focus on macroeconomic and policy developments and their implications for the local interest rate market. Reports to the Head of Interest Rates. This position is based in Rondebosch, Cape Town.
Model Validation – Specialist
The candidate will participate in the assignments of the Group validating Models used in the for valuation and risk measurement of Financial Portfolios, Assets and Instruments as well as the formulation of Input and Output information from the Global Energy markets. She or he is based in London, Houston, Singapore or Bangalore.
Senior Data Scientist (Data Science, Machine Learning, AI)
Our Data Science team drives innovation in investment management by applying Data Science, ML and AI to optimize portfolio strategies and manage risk. We collaborate closely with portfolio managers, research analysts, and technology experts to deliver actionable insights. Joining us means working in a dynamic, intellectually stimulating environment where you’ll shape data-driven decisions and grow your expertise in both finance and cutting-edge technology.
Investment Analyst, Fixed Income Risk
Do you have the desire to play a critical role in driving data-based business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce accepts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics professionals play a key role in transforming quantitative data analysis into meaningful insights that drive business results. Specifically, they serve as the conduit joining quantitative risk analysts to business partners.
As a Consultant, you’ll be responsible for the creation and management of risk analytics projects to solve business problems and achieve objectives. You’ll work consultatively with your leadership and business partners to match quantitative analysis with business needs. We’ll count on you to be the key point of contact linking business goals to technical research. It’s imperative that you have both a working knowledge of quantitative analytics and a clear understanding of business needs. You will need to confident articulating solutions to many levels of leadership.
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:
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.
Experience: Typically, seven or more years of related work experience in financial risk modeling or actuarial functions.
Knowledge, Abilities and Skills: Proven knowledge of processes and functions spanning the insurance and risk management cycle. Understands machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Confirmed mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Advanced understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Strong communication and presentation skills. Advanced proficiency with Excel and Powerpoint.
Quantitative Portfolio Analyst
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do:
Clients Come First – Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
If our mission, values, and purpose align with your own, we would love to hear from you!
Your opportunity
- Develop and maintain quantitative tools for data capture and analysis to support portfolio construction and exposure monitoring.
- Maintain records of portfolio holdings, transactions and cash balances across a variety of portfolios, and build visualisations to support investment insights and decision-making.
- Collaborate closely with performance and risk teams to access and review analytics, performance attribution data and risk reports. Create presentations and summaries that communicate drivers of performance, key portfolio risks and investment outcomes to both senior stakeholders and clients.
- Ensure the seamless execution of trade operations, portfolio rebalancing and compliance checks in coordination with trading and operations teams.
- Assist in data management, data quality checks and enriching operational workflows. Liaise with internal teams to resolve operational issues quickly and ensure alignment with internal controls and regulatory requirements.
- Work with investment team, performance, risk, technology and operations to streamline data workflows and integrate analytical insights into investment and operational processes.
- Support client reporting and commentary generation utilising tech tools to enhance reporting accuracy and efficiency.
- Carry out other duties as assigned.
What to expect when you join our firm
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Excellent Health and Wellbeing benefits including corporate membership to ClassPass
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- All employee events including networking opportunities and social activities
- Lunch allowance for use within our subsidized onsite canteen
Must have skills
- Proven experience in quantitative analysis within asset management, preferably in a multi-asset solutions setting.
- Advanced level user of statistical analysis, portfolio modelling and financial programming (Python, SQL), visualisation/reporting tools (Power BI and Tableau) and AI tools.
- Knowledge of factor models and risk systems (such as Bloomberg, Style Analytics).
- Familiarity with operational procedures within a portfolio management context, including reconciliation and compliance processes.
- Strong written and verbal communication skills for presenting complex analytics and operational insights.
- Ability to work both independently and collaboratively.
- Attention to detail and the ability to manage multiple priorities under tight deadlines.
- Analytical mindset with a proactive approach to problem-solving
- Adaptable, self-motivated, and eager to contribute to a high-performing team
Nice to have skills
- CFA, FRM, CQF, or equivalent professional qualification (preferred but not required)
- Familiarity with regulatory requirements relevant to investment management and risk
- Interest in global financial markets and investment trends
Deputy Manager (Risk Specialist – Model Risk Management)
Please see job role.
Manager (Risk Specialist, Model Risk Management)
Please see job role.
FIN Global Middle Office ED
Valuations Control at Nomura is primarily responsible for understanding, reviewing and testing the marks and valuation adjustments used to value trading positions. The main functional responsibilities include frequent IPV; ensuring that the appropriate accounting principles and reserves are applied to reach fair value; calculation of Prudential Valuation capital adjustment; development and application of rules for fair value hierarchy classification; partnering with the Front Office and other support groups in facilitating and approving new products and initiatives, in particular determining reserving and revenue recognition approaches. This involves a close working relationship with the Front Office as well as all primary support partners including Market, Credit and Model Risk Management, Quants, Operations, other Finance teams and Legal.
GSC: TnO GRA – AI – Intern
Global Risk Analytics (GRA) is a global team responsible for development of risk models for broad classes of financial and operational risks at HSBC. We are tasked with setting standards and providing mission-critical, cutting-edge tools to help identify, measure and manage risk, as well as enhance an enterprise-wide compliance across HSBC. The GRA Traded and Operational (TnO) Risk Analytics team deals with risk models for measurement of trading book risks, treasury and liquidity risks as well as operational risk. Its focus are risk models used for Credit, Interest Rates, Equity and FX asset classes. This includes market risk, credit counterparty risk and stress testing models. The team is scattered across several hubs (in particular London, NY, Paris, Kraków and HK) and holds responsibility for development and First-line-of-Defense validation of these models. The team focuses on models used for risk reporting for the whole HSBC group and cooperates with regional GRA teams on matters related to local risk reporting. his role is responsible for supporting of robust development and maintenance of risk models and methodologies that are under remit of the GRA TnO team with focus on AI applications. The role is an internship role in Kraków-based team.