Lead Quant Credit Strategist_

The Opportunity

As a strategist, you’ll be responsible for providing quantitative investment insights on MassMutual’s private credit investments, leveraging both third party tools and proprietary models. The role overtime will grow to even greater responsibility in shaping MassMutual’s investment allocation, products pricing, and ALM.

The Team

The immediate team is composed of quantitative developers and strategists with proclivity for solving both technical and business problems. The team is part of the larger R&D group within Investment Management overseeing the General Investment Account. The team is very hands-on and proactive about engaging new ideas and challenges.

The Impact

You will provide analytic and investment insights on the private credit book and other illiquid assets to influence portfolio managers’ allocation decisions. You will drive value-add thought leadership to asset allocators and corporate stakeholders on quant credit and high-impact projects, enhancing and protecting net investment income. Collaborate closely with portfolio managers on deals, offering a quantitative view on risk and due diligence. Develop statistical models for risk assessment and asset performance forecasting, leverage alternative data for investment insights, quantify cashflow uncertainty on deals, develop a security master for private assets, and estimate spread duration and the value of embedded options on deals.

The Minimum Qualifications

  • 10+ years working in financial services as a strategist, portfolio manager, or risk manager
  • Bachelor’s in a technical field
  • Deep knowledge of the private credit markets, including but not limited to middle market loans, portfolio funding, real estate, and ABS
  • Experience working on private market deals as a stakeholder
  • Capability in developing and applying statistical and econometric models
  • Experience with working with imbalanced data
  • Knowledge of accounting and regulatory regimes
  • Excellent communication skills explaining complicated quantitative concepts to nontechnical stakeholders and influencing portfolio managers
  • Experience in providing requirements to developers and managing project from development to production
  • Python scripting proficiency and data visualization

The Ideal Qualifications

  • Master’s degree in financial engineering, statistics, machine learning, econometrics or similar disciplines
  • Experience structuring private ABS deals
  • Knowledge of the CLO, public ABS, middle market loans, BSLs, and HY corporates
  • Relevant certifications: CQF, CFA, ARPM, FRM, PRM, or CAIA
  • Knowledge of Python’s analytic and statistical modeling package ecosystem
  • Intex and/or other cashflow engines
  • Commercial risk models

Fund Services.Risk Analyst_

Responsibilities

Your Role:

  • You will produce accurate custom and regulatory risk management and fund performance analytics reports to be distributed to hedge fund clients, their investors and regulatory bodies in a timely manner
  • Resolve all queries to risk reports
  • Support the new business process – on-boarding new clients, assisting in the preparation of demos, marketing literature, maintaining demo risk system and product development (eg exploring/researching/bringing to market possible new revenue streams such as in response to emerging regulations)
  • Be involved in the maintenance, prototyping and user acceptance testing of internally developed valuation models and risk tools
  • Perform operational risk management – risk reporting process documentation, improving processes through increasing level of automation, ensure consistent application of CFS policies and procedures, identify and appropriately communicate potential internal and external risks.
  • Assist relationship managers by participating in monthly calls or any escalation relating to day-to-day risk reporting issues, participate in communication/escalation aspects of complex issues resolution
  • Contribute to cross functional training initiatives

Qualifications

About You:

  • You have a quantitative background with a Bachelor/higher level degree or professional qualification (MSc, PhD, CQF, FRM, PRMIA, GARP, CFA, FIA)
  • A quick learner who is self-motivated and demonstrates a strong attention to detail while multi-tasking
  • Excellent oral and written communication skills and interpersonal skills
  • Proficient in Excel, VBA, SQL and Python
  • 0-2 years of experience in Financial Services, preferably with detailed knowledge of pricing/valuing/risk management of OTC derivatives using both in-house models/financial libraries/risk systems and specialist vendors such as Bloomberg BVAL, SuperDerivatives and IHS Markit
  • Knowledge of investment risk measurement and management under regulatory frameworks such as Form PF, Form CPO-PQR, Annex IV, Basel III/CRD IV/CRR and Solvency II is advantageous

Senior Associate – Investment Analyst – Risk Consulting Hong Kong

Key responsibilities

  • Investment research and analysis:Conduct thorough research and due diligence on potential insurance and asset management investments, such as stocks, bonds, or other financial products related to the insurance sector.
  • Financial modeling:Analyze financial statements, market trends, economic indicators, and cash flow forecast to assess performance and risk-return profiles of investment opportunities.
  • Strategy development:Develop strategic recommendations for clients on investment portfolios, risk management and product performance.
  • Operational model: Design the operational workflow on the investment lifecycle including investment approval, monitoring and evaluation
  • Risk assessment:Evaluate the risks associated with different investment products and provide guidance on how to mitigate them.
  • Market monitoring:Stay informed about economic developments, market trends, and regulatory changes that could impact insurance investments.
  • Compliance:Ensure that all investment activities comply with relevant financial regulations and industry standards.
  • Report and recommendation writing:Prepare detailed research reports and investment plans, documenting data gathered and providing projections and financial models to clients and internal stakeholders.
  • Client and stakeholder engagement:Meet with clients to understand their needs and present investment recommendations, and collaborate with internal teams to gather requirements and support project delivery.

Required qualifications and skills

  • Bachelor degree or above in Finance or quantitative discipline, preferably major in Financial Engineering, Quantitative Finance, Mathematics, Statistics or Risk Management.
  • Experience in Insurance or Asset Management industry is a plus
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Strong technical skills with high level of coding inclination and proficiency in Excel VBA, Python, Matlab, C#, R or SQL
  • Qualify member of CFA, FRM, CQF, QRM is preferred
  • Ability to manage multiple tasks and collaborate effectively within a team.

Fitch Learning | Senior Inside Sales Executive, CQF – Toronto

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:3days a week in office required based on your line of business and location
  • 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

Audit – Modeling Subject Matter Expert

JCW is partnering with a leading financial services firm seeking an Audit Modeling Subject Matter

Expert with deep expertise in market risk modeling. This role will lead and execute independent assurance over the firm’s market risk models and model risk management framework, providing critical oversight of pricing, VaR, stress testing, and capital models used across trading and treasury activities. You’ll work closely with senior stakeholders in Risk, Model Validation, Front Office, and Internal Audit to challenge model design, implementation, and governance, ensuring models are robust, compliant, and fit for purpose.

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.

Risk Analytics (IRB Credit Rating Model), Director, Firm Risk Management

Company Profile

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

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.

Responsibilities

What you’ll do in the role:

  • Quickly develop a deep understanding of Morgan Stanley’s credit risk analytics models.
  • Participate in research, development, and implementation of credit risk models
  • Perform econometric analyses to support methodology development
  • Support backtesting, stress testing, scenario analyses and sensitivity studies
  • Analyze model changes and perform data analyses for various purposes including model improvement
  • Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm.
  • Own modeling efforts for credit risk modelling in Mumbai

What You’ll Bring To The Role

Skills required (required / preferred)

  • 0-10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
  • Prior analytics work experience in a bank credit-related department. Examples include lending or trading analytics.
  • The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al.
  • Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel.
  • Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
  • Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred.
  • Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
  • Attention to details and ability to work under pressure and cope with a fast moving environment.
  • PRM/FRM, CFA, CQF certification is an advantage.
  • Experience in AI, ML, NLP, Big Data Analytics, PowerBI is an advantage.

Principal, Internal Audit, Financial Risk and Modeling_

This role will provide subject matter expertise and strong execution skills to the Internal Audit, Financial Risk and Modeling Audit Team, executing multiple concurrent projects such as model risk assessments, model validation monitoring, and detailed model testing supporting internal audits and validations.

The Principal will:

  • Support the implementation of strategic plans and advise on the Internal Audit procedures and guidelines.
  • Assess and opine on OCC’s implementation and maintenance of its financial risk management framework, confirming alignment with organizational objectives and regulatory requirements.
  • Coordinate the risk assessment activities with the Quantitative Risk Management (first-line) and Model Risk Management (second-line) teams.
  • Develop and execute assessments related to OCC’s Prefunded Resources (e.g., margin requirements, clearing fund contributions, stress testing of resource sufficiency, and liquidity risk monitoring).
    • Provide technical expertise and guidance to the IA team in executing their responsibilities.
    • Confirm proper scope and resource allocation to deliver on schedule.
    • Leverage advanced mathematical and statistical modeling and analysis techniques to assess model design and performance (e.g., model methodologies, assumptions, parameter calibration, input data quality, and model outputs).
    • Maintain the Internal Audit quality standards across all deliverables and collaborate with stakeholders to ensure that financial and operational risks are effectively identified, assessed, and managed.

Responsibilities

Responsibilities will be aligned, but not limited, to four pillars:

 

Department Oversight

  • Support and maintain IA infrastructure (Policies, Procedures, Standards, Guidance, Audit Universe, Risk Assessments, Co-Sourcing Management, Service Quality, Regulatory Management and Stakeholder Management) in alignment with Regulators, IIA Standards and OCC’s designation requirements.
  • Contribute to the development of annual budget recommendations supporting the risk-based audit plan.
  • Coordinate with the Operations team and Co-Source relationship to manage staffing needs for plan execution.

 

Leadership

  • Support the design and implementation of strategic initiatives related to audit programs/processes, technology, or other initiatives related to assurance and consultative services for Financial and Model Risk.
  • Plan, execute, and report on risk-based and special request audit assignments.
  • Identify regulatory, operational, and/or strategic risks to the organization and develop recommendations for improvements.
  • Build and maintain effective relationships with business groups and management.

 

Delivery

  • Contribute to the development of risk assessment and comprehensive audit plan.
  • Manage multiple audits and validations simultaneously.
  • Execute audit projects in accordance with the annual audit plan.
  • Confirm audit quality, accuracy of results, and timely delivery.

 

Quality

  • Apply professional principles and standards (e.g., AICPA, IIA GIA, COSO, SR 11-7) in risk management activities and control evaluations.
  • Maintain knowledge of policies, procedures, standards, and supporting technologies in risk identification and mitigation.
  • Stay informed of industry practices, model methodologies, and emerging risks within financial services and propose improvement recommendations.
  • Participate in department-wide activities such as peer reviews of audit deliverables.

 

Supervisory Responsibilities

  • None

 

Qualifications

  • Strong verbal and written communication skills with the ability to effectively convey complex information to various stakeholders.
  • Proven analytical and critical thinking abilities to address business challenges.
  • Ability to develop and present comprehensive reports and recommendations based on data analysis.
  • Demonstrated capability to manage multiple projects while meeting deadlines.
  • Ability to manage the assessment of quantitative models approaches and tools.
  • Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

 

Technical Skills

  • [Required] Proficiency in Microsoft Office applications.
  • [Required] Strong proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software.
  • [Preferred] Seasoned expertise on understanding and managing financial risks related to financial derivatives portfolios, particularly options on equities.
  • [Preferred] Experience in evaluating the pricing of complex derivatives and performing advanced statistical analysis on underlying risk factors.
  • [Preferred] Experience with reviewing and auditing risk management models for derivatives using methodologies such as  Historical VaR, Monte Carlo simulation, TIMS and SPAN.
  • [Preferred] Proficiency in quantitative or statistical tools (e.g., Python, R, MATLAB, SAS) to support model audit and testing procedures.
  • [Preferred] Familiarity with model risk management practices including validation, backtesting, and performance monitoring.

 

Education and/or Experience

  • Minimum of 8 years working in a dynamic business environment
  • Proven track record of implementing and overseeing operational processes and procedures.
  • Experience in developing and maintaining professional relationships with internal and external stakeholders.
  • [Preferred] Industry-specific experience in relevant field (e.g., Financial Services, Technology, or related sectors)
  • [Required] Experience in financial risk model analysis or assessments and stress testing methodology.
  • [Preferred] Master’s degree in finance, economics or a quantitative field possessing strong quantitative, analytical, and problem-solving skills.
  • [Preferred] Experience with assessments or audits of Financial Risk Management or Models.

 

Certificates or Licenses

  • Certification such as Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.

Assistant Professor of Finance, AUS

FACULTY POSITION IN FINANCE: The Department of Finance at American University of Sharjah invites applications for a full-time faculty role at the assistant professor level starting in the Fall Semester 2026. The successful candidate will be expected to contribute to the department’s research, teaching and service activities. While we welcome applicants from all areas within finance, previous research or teaching experience in trading, digital assets, alternative investments, quantitative finance or derivatives is particularly desirable. The salary is competitive, based on experience, and tax-free in the UAE. Additionally, free housing, paid utilities and other attractive benefits are included.

JOB QUALIFICATIONS: All candidates must hold a PhD degree in finance from an AACSB-accredited university, preferably located in North America. Candidates must demonstrate significant research potential, with promising working papers ideally on track for publication in top-tier finance journals. Existing publications in top-tier finance journals are a plus. A successful candidate should be able to teach at both the undergraduate and graduate levels.

APPLICATION PROCEDURE: To apply, the following documents are requested: (a) a cover letter explaining your interest in the position; (b) your curriculum vitae, including your teaching experience, list of publications and list of work-in-progress/working papers; (c) shortlisted candidates will be asked to submit three letters of recommendation; (d) your job market paper; and (e) a statement about your teaching philosophy.

Please send the documents via email to Ms. Rose De Silva, Administrative Assistant, Department of Finance, at https://forms.aus.edu/252783531697873. Additional documents will be solicited from shortlisted candidates.

The deadline for applications is January 31, 2026. The successful candidate is expected to start in August 2026.

ABOUT THE SCHOOL: The School of Business Administration enrolls over 1,900 undergraduate and graduate students. QS World University Subject Rankings 2025 has named AUS number two (tied) in the UAE and among the top 300 universities globally for business and management studies, number one in the UAE (tied) and among the top 250 universities globally for accounting and finance, and number one (tied) in the UAE and top ​400 universities globally in the category of ​economics and econometrics. The AUS MBA program is ranked second in the UAE, seventh (tied) in the Middle East and Africa region, and among the world’s top 200 in the QS Global MBA Rankings (2026). The school offers a Bachelor of Science in Business Administration degree with majors in accounting, economics, finance, information systems and business analytics, management, marketing and supply chain management, as well as a Bachelor of Arts in Economics. Graduate degrees include the Master of Business Administration, Master of Business Data Analytics, Master of Science in Accounting, Master of Science in Economics and Policy, Master of Science in Finance, PhD in Finance and PhD in Management. The school has been accredited by the Association to Advance Collegiate Schools of Business (AACSB) since April 2011.

ABOUT THE DEPARTMENT: The Department of Finance has 12 full-time faculty members, all specialists and researchers in a broad variety of financial topics. Their research has been published in leading finance journals, such as the Journal of FinanceJournal of Financial Economics, and Journal of Financial Intermediation, and is regularly being presented at leading conferences. To bridge the gap between academia and the finance industry, the department has partnerships with Bloomberg, the CFA Institute, CAIA and CQF Institute. It also hosts the Interactive Trading Floor, a state-of-the-art facility designed after the specifications of a Wall Street trading floor, offering students access to the same tools and services as professionals. For more information, please visit https://www.aus.edu/sba/department-of-finance.

Consultant – Market Risk_

Roles And Responsibilities

 

  • Proven experience in market risk, risk modeling or model validation. Assess the model’s conceptual soundness and methodology. Develop tests to assess the model methodology and assumptions. Market Risk Models – Value at Risk, Expected Shortfall, Pricing of plain vanilla and exotic derivatives, Pricing of Credit derivatives, FRTB (SA & IMA), Counterparty Risk Exposure models, FVA, PVA, IPV, Stress Test Models – CCAR etc.
  • Reviewed pricing models based on simulations or path dependent models. Assessed calibration of these models with market data.
  • Produce high quality model validation reports, with a particular focus on noting limitations, weaknesses, and assumptions.
  • Strong understanding of regulations and guidelines like SR 11-7 or other equivalent guidelines for model risk management.
  • Perform independent testing to check robustness of the model.
  • Document validation processes, findings, and recommendations in detailed reports.
  • Understanding of financial instruments and market risk.
  • Detail-oriented with strong problem-solving skills and a proactive approach to challenges.

Qualifications:

  • Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Physics or a related field. Advanced degrees or certifications (e.g., CFA, FRM, CQF) are a plus.
  • Proven experience in model validation, quantitative analysis, or a similar role within the financial services industry.
  • Strong analytical skills and proficiency in statistical software/tools (e.g., Python, R, SAS).

Energy Trading and Financial Risk Management Engineer

Financial Engineer in the energy trading sector plays a crucial role in developing and implementing quantitative models and strategies to optimize trading operations and manage financial risks. Below are the key responsibilities, qualifications, and skills required for this position.

Responsibilities:

  • Model Development: Design and implement quantitative models for pricing, risk assessment, and trading strategies specific to energy markets, including derivatives and structured products.
  • Loss control : Provide loss control framework and monitoring how to prevent losses caused by economic factors or hazards. Implementing principles driving effective loss control, such as risk avoidance, loss prevention or business/product diversification.
  • Data Analysis: Analyze large datasets to extract actionable insights related to market trends, price forecasts, and risk management.
  • Simulation and Forecasting: Utilize simulation tools to perform power system simulations and conduct forecasting analyses related to energy prices and credit loss.
  • Collaboration: Work closely with traders, risk managers, and other stakeholders to ensure alignment on trading strategies and risk management practices.
  • Client Interaction: Engage with clients to understand their needs, provide insights on market conditions, and validate models and pricing structures.
  • Regulatory Compliance: Ensure that all trading activities comply with relevant regulations and internal policies.
  • Technical Development: Write and maintain high-quality code for financial applications, primarily using programming languages such as Python and Java.
  • Continuous Improvement: Proactively seek opportunities to enhance existing financial models and systems, adapting to changing market conditions.

Qualifications:

  • Education: A Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Engineering, or Computer Science.
  • Experience: A minimum of 5 years in a quantitative finance and risk management role, preferably within energy trading or related sectors.
  • Technical Skills: Proficiency in programming languages (Python) is a must and experience with statistical analysis tools and financial modeling software.
  • Industry Knowledge: Understanding of energy markets (in particular United States, Australia and Japan), trading strategies, and risk management practices.
  • Certifications like the CQF, FRM, CAIA, CFA is preferable.
  • Desirable experience in the financial risk management space.
  • Systems: Hands on experience using risk management systems.

Skills:

  • Analytical Skills: Exceptional ability to analyze complex data and translate it into actionable insights.
  • Communication: Strong verbal and written communication skills to effectively interact with clients and team members across front middle and back-office roles.
  • Problem-Solving: Ability to tackle technical challenges and develop innovative solutions in a fast-paced environment.
  • Teamwork: Proven ability to collaborate with cross-functional teams, including traders, engineers, and analysts.
  • Adaptability: Willingness to learn and adapt to new technologies and market developments.